{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Status</th>\n",
       "      <th>1-methylguanidine</th>\n",
       "      <th>N-acetyl-cadaverine</th>\n",
       "      <th>O-acetylhomoserine</th>\n",
       "      <th>N2-acetyllysine</th>\n",
       "      <th>7-hydroxyindole sulfate</th>\n",
       "      <th>S-methylmethionine</th>\n",
       "      <th>vanillic alcohol sulfate</th>\n",
       "      <th>4-hydroxyphenylacetate</th>\n",
       "      <th>histamine</th>\n",
       "      <th>...</th>\n",
       "      <th>ranitidine</th>\n",
       "      <th>salicylate</th>\n",
       "      <th>salicyluric glucuronide*</th>\n",
       "      <th>sitagliptin</th>\n",
       "      <th>sulfamethoxazole</th>\n",
       "      <th>topiramate</th>\n",
       "      <th>trazadone</th>\n",
       "      <th>valsartan</th>\n",
       "      <th>venlafaxine</th>\n",
       "      <th>verapamil</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>63132</td>\n",
       "      <td>62600</td>\n",
       "      <td>71429</td>\n",
       "      <td>23592</td>\n",
       "      <td>13383</td>\n",
       "      <td>31798</td>\n",
       "      <td>29953</td>\n",
       "      <td>110670</td>\n",
       "      <td>63069</td>\n",
       "      <td>...</td>\n",
       "      <td>56282868</td>\n",
       "      <td>2966160</td>\n",
       "      <td>104022</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>63132</td>\n",
       "      <td>337643</td>\n",
       "      <td>71429</td>\n",
       "      <td>23592</td>\n",
       "      <td>13383</td>\n",
       "      <td>1169579</td>\n",
       "      <td>338675</td>\n",
       "      <td>85664</td>\n",
       "      <td>63069</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>5288566</td>\n",
       "      <td>441107</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>63132</td>\n",
       "      <td>2962003</td>\n",
       "      <td>99532</td>\n",
       "      <td>23592</td>\n",
       "      <td>13383</td>\n",
       "      <td>31798</td>\n",
       "      <td>22420</td>\n",
       "      <td>423777</td>\n",
       "      <td>63069</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1685306</td>\n",
       "      <td>34181</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>63132</td>\n",
       "      <td>62600</td>\n",
       "      <td>71429</td>\n",
       "      <td>23592</td>\n",
       "      <td>13383</td>\n",
       "      <td>1389852</td>\n",
       "      <td>22420</td>\n",
       "      <td>85664</td>\n",
       "      <td>284701</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2044134</td>\n",
       "      <td>27921</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>63132</td>\n",
       "      <td>230515</td>\n",
       "      <td>71429</td>\n",
       "      <td>109022</td>\n",
       "      <td>13383</td>\n",
       "      <td>527665</td>\n",
       "      <td>22420</td>\n",
       "      <td>85664</td>\n",
       "      <td>1296789</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1136726</td>\n",
       "      <td>47567</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 833 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Status  1-methylguanidine  N-acetyl-cadaverine  O-acetylhomoserine  \\\n",
       "0       0              63132                62600               71429   \n",
       "1       0              63132               337643               71429   \n",
       "2       0              63132              2962003               99532   \n",
       "3       0              63132                62600               71429   \n",
       "4       0              63132               230515               71429   \n",
       "\n",
       "   N2-acetyllysine  7-hydroxyindole sulfate  S-methylmethionine  \\\n",
       "0            23592                    13383               31798   \n",
       "1            23592                    13383             1169579   \n",
       "2            23592                    13383               31798   \n",
       "3            23592                    13383             1389852   \n",
       "4           109022                    13383              527665   \n",
       "\n",
       "   vanillic alcohol sulfate  4-hydroxyphenylacetate  histamine  ...  \\\n",
       "0                     29953                  110670      63069  ...   \n",
       "1                    338675                   85664      63069  ...   \n",
       "2                     22420                  423777      63069  ...   \n",
       "3                     22420                   85664     284701  ...   \n",
       "4                     22420                   85664    1296789  ...   \n",
       "\n",
       "   ranitidine  salicylate  salicyluric glucuronide*  sitagliptin  \\\n",
       "0    56282868     2966160                    104022            0   \n",
       "1           0     5288566                    441107            0   \n",
       "2           0     1685306                     34181            0   \n",
       "3           0     2044134                     27921            0   \n",
       "4           0     1136726                     47567            0   \n",
       "\n",
       "   sulfamethoxazole  topiramate  trazadone  valsartan  venlafaxine  verapamil  \n",
       "0                 0           0          0          0            0          0  \n",
       "1                 0           0          0          0            0          0  \n",
       "2                 0           0          0          0            0          0  \n",
       "3                 0           0          0          0            0          0  \n",
       "4                 0           0          0          0            0          0  \n",
       "\n",
       "[5 rows x 833 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_csv('Supplementary_File_1.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 51 entries, 0 to 50\n",
      "Columns: 833 entries, Status to verapamil\n",
      "dtypes: int64(833)\n",
      "memory usage: 332.0 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0\n",
       "1    0\n",
       "2    0\n",
       "3    0\n",
       "4    0\n",
       "Name: Status, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data.drop([\"Status\"], axis=1)\n",
    "y= data[\"Status\"].copy()\n",
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sklearn.model_selection import train_test_split\n",
    "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preproccesing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.21317734, -0.28255035, -0.1764019 , ...,  0.        ,\n",
       "        -0.18548648, -0.14142136],\n",
       "       [-0.21317734,  0.26961224, -0.1764019 , ...,  0.        ,\n",
       "        -0.18548648, -0.14142136],\n",
       "       [-0.21317734,  5.53814635, -0.17375892, ...,  0.        ,\n",
       "        -0.18548648, -0.14142136],\n",
       "       ...,\n",
       "       [-0.21317734, -0.28255035, -0.1626828 , ...,  0.        ,\n",
       "        -0.18548648, -0.14142136],\n",
       "       [-0.21317734, -0.28255035, -0.1764019 , ...,  0.        ,\n",
       "        -0.18548648, -0.14142136],\n",
       "       [-0.21317734, -0.28255035, -0.1714498 , ...,  0.        ,\n",
       "        -0.18548648, -0.14142136]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "scalar = StandardScaler()\n",
    "X = scalar.fit_transform(X)\n",
    "X"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ANOVA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(51, 50)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectKBest, f_classif\n",
    "\n",
    "selector = SelectKBest(f_classif, k=50)\n",
    "X_reduced = selector.fit_transform(X, y)\n",
    "X_reduced.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Get the F-values and feature names\n",
    "f_values = selector.scores_\n",
    "\n",
    "\n",
    "cols_idxs = selector.get_support(indices=True)\n",
    "feature_df_new = data.iloc[:,cols_idxs]\n",
    "feature_names = feature_df_new.columns\n",
    "F_values = f_values[cols_idxs]\n",
    "\n",
    "# Sort the features by F-value in descending order\n",
    "sorted_indices = F_values.argsort()\n",
    "sorted_F_values = F_values[sorted_indices]\n",
    "sorted_feature_names = feature_names[sorted_indices]\n",
    "\n",
    "\n",
    "# Plot the sorted F-values for each feature\n",
    "plt.figure(figsize=(8,13))\n",
    "plt.barh(sorted_feature_names, sorted_F_values, height=0.7)\n",
    "plt.xticks(rotation=0, ha='right')\n",
    "plt.xlabel('F-value', fontsize=15)\n",
    "plt.ylabel('Features', fontsize=15)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xlim(0, 12)\n",
    "# Set tick label font size\n",
    "plt.tick_params(labelsize=12)\n",
    "\n",
    "plt.autoscale(enable=True, axis='y', tight=True)\n",
    "\n",
    "#plt.title('ANOVA Feature Selection', fontsize=20)\n",
    "plt.grid(axis='x', linestyle=':', linewidth = 0.9)\n",
    "for i, v in enumerate(sorted_F_values):\n",
    "    plt.text(v+0.5, i-0.29,  f'{sorted_F_values[i]:.2f}', ha='center')\n",
    "#plt.tight_layout()\n",
    "# Save plot as PDF\n",
    "plt.savefig(\"f_values_ver2.svg\", bbox_inches=\"tight\")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50,)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_names.shape"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Performance Per nfeatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n",
    "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n",
    "from mpl_toolkits.axisartist.axislines import SubplotZero\n",
    "from sklearn.metrics import accuracy_score, balanced_accuracy_score, f1_score, confusion_matrix, roc_auc_score, roc_curve, precision_recall_curve\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from IPython.display import HTML, display, clear_output\n",
    "from sklearn.metrics import auc\n",
    "\n",
    "\n",
    "\n",
    "matplotlib.rcdefaults()\n",
    "plt.rcParams.update({'xtick.labelsize':10, \n",
    "                     'ytick.labelsize':10,\n",
    "                     'legend.fontsize':12,\n",
    "                     'axes.edgecolor' : 'black',\n",
    "                     'legend.title_fontsize' : 15,\n",
    "                     'figure.figsize': (12,12),\n",
    "                     'axes.labelsize' :18})\n",
    "\n",
    "\n",
    "def mplot(y, ax, lw = 1):\n",
    "  f_x, t_x, _ = roc_curve(y, pred1)\n",
    "  f_l, t_l, _ = roc_curve(y, pred2)\n",
    "  f_g, t_g, _ = roc_curve(y, pred3)\n",
    "  f_b, t_b, _ = roc_curve(y, pred4)\n",
    "  # f_RN51, t_RN51, _ = roc_curve(y, y_prob)\n",
    "\n",
    "  ax.axis['top'].set_visible(False)\n",
    "  ax.axis['right'].set_visible(False)\n",
    "  ax.spines['bottom'].set_color('black')\n",
    "  ax.spines['left'].set_color('black')\n",
    "\n",
    "  ax.plot(f_x, t_x, color=\"#E53935\", lw=lw, label= f\" (AUC = {auc(f_x, t_x):.4f})  XGBoost   \")\n",
    "  ax.plot(f_l, t_l, color=\"#4FC3F7\", lw=lw, label= f\" (AUC = {auc(f_l, t_l):.4f})  SVC   \")\n",
    "  ax.plot(f_g, t_g, color=\"#66BB6A\", lw=lw, label= f\" (AUC = {auc(f_g, t_g):.4f})  LogisticRegression       \")\n",
    "  ax.plot(f_b, t_b, color=\"#CF7345\", lw=lw, label= f\" (AUC = {auc(f_b, t_b):.4f})  RandomForest      \")\n",
    "  # ax.plot(f_RN51, t_RN51, color=\"#000000\", lw=lw, label= f\" (AUC = {auc(f_RN51, t_RN51):.4f})  Hard Voting         \")\n",
    "  ax.plot([0, 1], [0, 1], color=\"#ECEFF1\", lw=2.5, linestyle=\"--\")\n",
    "\n",
    "  \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n",
      "  warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n",
      "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n",
      "  f = msb / msw\n"
     ]
    },
    {
     "data": {
      "image/png": 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tbR5e2uxhzkGV21JsJAbLOunqsKHQ4JUtHnaXmlxYX+OqRjaCzqCPgl1V6BSt0SlaY3hT2zFVLrMO6ARp0CXamvHvEq0ScgZVLqZpkv/0U+i7dhL3+ptoUVGnfa7jcaalUTj9ZUxXOYozqFLP7Y8k2RdCCCGEEAEr322SmWt10F+db+A1ITlU4eL6NrrFqjSq5nXK/qBgL2xbAj1vAVWD9H9DaCwsfgtKcqHfCKsk/J4WDvrV1Xl1i5eRy91c0cjGxfW1Wl0RUZVKvCbvb/fy436dpmEKz3V0kBxWuQMsqqLQMkKhZYTK0CYmu0pNllT0r3h+owebAu2PdPaP0Yg+wZKBEyl+/13Kf/mZ6PHPYE9pVqmxg7Vunxcn41q1iqC09Eo/v7+RZF8IIYQQQgSU/eUGSw4bZOTqbCg0UYBWEQpDm9hIj9WoGyTJ6N9Z9SUER0LzvrBzt/W9tudBaAzMngLfPQWDHgRnKHSK1nips8onO718vMPLgkM6t6fYaRkhs/yVxTRNfs0xmJHtoUyHYck2BtfTqnRNPYCiKDQKVWgUqnJFIxuHyk0yKgbOXtvi5VW8tAj/vbN/vX+o7ChftJCi16YTdsMwgvv1r5KYbUnJqHFxuLIyJNlHkn0hhBBCCOHnTNNkW4lJRo6ViOwoNbEr0DFa5c5mVgf9CGkkd1JK82DTXOhyJdgcxz6W1A3OHws/ToCvRsPgRyEsDpyawtAkO73raLyyxcPDq92ck6Dx7yY2QmthY8PKdMhlMmOrh8xcg7QYlZub2qnj9M3PtE6QwgWJNi5ItLb5O9LZ/6OdXt7ZDo1CFLrFWuX+SaHHVsx4tm8nb+wYgnr0InzYzVUWo6IoOLum4srMhDuq7DJ+Q5J9IYQQQgjhd3TTZEPh72uLD7pMQjRIjVG5spGNTtEqwbIf/Cn77RvQ7ND6nOM/ntASLhwP34+DLx+2Ev6YxtZjSWEqz3Rw8P0+nQ92eMnI1bk52c5ZsdLA71Tppsl3e3U+3OklWIMHW9rpVoN+jhF2hQHxNgbEQ7lusqKiF8a3e3X+u0unjhPSY61eGC2UEnIfug+tTl2iHh+LolZt1YczNZ2yH75Hz81Fi4mp0mvVdJLsCyGEEEIIv+A2TFYd6aCfo1PohWgHpMdY+4S3qeUd9M+UuwTW/QStBlol+icS3QAungDfj4cvH4VzHoDEdtZjmmLN/qbHaszY6mHSBg9do1WGN7VTR5ZPnJTsYqsB39Zik3PraVzXuGZXSARpCmfFaZwVp+E1TNYWWr+jiw/rfLNXJ8zlpl3P/9BnYBqRQaE4qzgeZ2oaAO5lSwkeOKiKr1azSbIvhBBCCCFqrGKvybJcg4wcneV5BuUGJAYrnJ1gzRqmhEkH/cqybhbobmh3wT8fGxINQ56EWc/Cd+Og712Q0vP3x+s4FR5p7WDJYZ3Xsz3ctdzFNY1tnJ9Y9WvN/VW5bvLJTi9f7dFpEKIwob3D73of2FSFDlEaHaI0bk62seqd//Lr7mLW9LuMZw4FEZTjotORzv4xKmFVMIihxcVhS0rGlZUhyb6vAxBCCCGEEOKPct0mmRXr79cUWB30U8IULmtoddBvECwd9Cub7oE130CzPlbn/ZPhCIFzH4H502H2ZCjNhfYXHntMtziNdlEqH+7w8vY2L/MrGvhVdhd5f7c8z9rVIN9jck1jGxcFwK4G5bN+In7G8/znzpGE9Yxid6k145+RozN5kwdNgbaRVmf/bjEaMZXYi8CZlkb53DmYplmr3ysk2RdCCCGEED63p8wgoyIR2FhkogJtIlVuSLKRFqv5rClZbbF5HpTmQ4eLTu15mt2a1Q+NhSXvQnEOnDUUlD/k8qE2hVua2ulTR+PlLR7uW+lmSH2Nq89wf/hAkO82eTPbw4LDBu0jVZ5oa//Hrvb+wL1xAwUTxhF8zmBCr74GgAYhKpeHqFze0MZh1+8Dem9s9fL6Vi/Nj3T2j1GpH3JmPwNnajoln36CvnMntsaNK+OW/JIk+0IIIYQQotqZpsnW4t+38tpVauJQoVOUyshmNrrGqIRLB/1qYeiwaiY0SYOo+qf+fEWBtGuthH/RG1CaA31H/LWbf4sIlRc6Ovhyj86nu7wsPqxza1M7XWK0SrkPf2KYJr8c0HlnmxdVgZHN7fStU3Ma8J0JPTeXvIfux5aURNRDDx/3nuKcCucl2jgvEYo8JkvzrIG+T3Z6eW87NAi2OvunVyzVOdWfi6NjJ7DZcC3NlGRfCCGEEEKIqqabJusKKkp5c3UOuyDMZnXQv7axjU5RKs5aPtPrC9szoWAf9BtxZudpc661ln/2FPj+KRj0IDjDjj3GplrLMbrHqby61ctT6zz0jNMZlmwn2lE7/u53lRpM3+JhXaFJv7oqNyTZA2ZrSNPjIW/0Q5geDzHPPIviDPrH54TbFfrV1ehXV8Olm6zMtzr7/7hf5/PdOrEOq7N/eqxKmwgV20ksb1BDQnC0bYcrM4PQy/5VGbfmlyTZF0IIIYQQVcZtKBXb4+kszTUo8nL0w3u3WJXWJ/nhXVQN07Rm9eu1gbrNz/x8Selw/uPw4wT4ajQMHgNhcX89rl6wytg2duYdMngr28Ody1wMTbJxdrwWsA0XPYbJ57u8/G+3Th2nwhNt7XSICqyqhoIpz+Neu4bYadPR6saf8vOdmlKR2Gt/GRz8bp9+dHAwPUajU/Tfl/o7U9Mo/ugDTK8XxVY7097aeddCCCGEED5UTjm/ksls5vErGZQ0KUHF/9fpHsMEjwneJmACahRoKaApcAjYoMC7vo3wjJluD2aCF9UIAj8dsEhY05FztjzPz6Mf5hky//J4ZINIzqYf/elDe9qe1Os0oSVc9DR8Pw5mPgyDR0Nsk78epygKfetqdI5WeWebl1e2eJlz0Grg1/AM12zXNGsKrNn8/eUmlzbQuLyBrUqqWDx4yGIZs5nHQn6loElBtb23mB4v5u0ulFFOFPs9Z35CBYiq+JMMBrDXhPUmvGOC5g3lXvUekkk+7tOdaekUzXgNz/p1ONq1P/N4/JAk+0IIIYQQ1aCQQuaziNnMYzEZlFNOEo25gMGQZxIbe5It0P3AwXKTRYd18t0myQ43HeuGEBlAJdqmaeJavAjXsqUQFISCTsiFF2NLSPB1aKfMNbMvZuM8LujUHoW/JkSrylfzteN73uMj4oilL73oR2/S6Iod+wnPG1W/IuEfD1+NgUEPQP12xz82wq4wormdvnVVXt3i5e4Vbi5roHFZQxsOPx1EOaLIY/Ludi8/H9BpGa7wQEcHjUMrN/kuoYRFLKlI8BdTTAmJ1GMAfbHn2arlvcW7Zw8lX/wPR5t2BPfrX/kXUI79b0E5zFq7kXeafsrV9D3uU+wtWqKEheHKypRkXwghhBBCVK4DHGQO85nDfJaxHC86bWnNLdxAP3qTRBMAsguySY49/uyUPyn1mnyww8vCfTrJYQp3pNjh4HaSHf5/b0eYhkHB5Ocp/V8WEXeN5GCbdoRPexHvpzOJnjCJoLR0X4d40g5vg/9bCf1HQYpy9XGP6XE4ncYRjVnNGmYzj9nM43NmEkYoPelOP3rTk7MIJfQvzw2JhiFPwc/PWrP8fe+ElF4njqd9lMaUziqfVZS6LzxscFuKnbaR/jfLb5omCw4bvJntwWPArU1tDEqovCUKueQyj4XMZh4ZLMWNm+Y041quoj99aE4KCkq1vLd49+/n8M1DsTVpT+ytL6NUcYq5fz0snAHn74D5w55n3jmZ9NHS/nKcYrPh7NIVV1YG4TfeVKUx1VSS7AshhBBCVKJtbGc285jDfNawDhsaXejM/dxNX3oRT11fh1gllhzWeT3bQ6kXbkyycV6ihqYoZB/0dWSVx/R6yZ8wjrIfvifywUcIvehiDmZnE/vSy+SNfojc++4m+vEnCB4w0NehnpRVMyG8LiR3//vjNDQ60YFOdOAe7mIzW48m/j8wCwcO0ulKP/rQl57EEHP0uY5gOOdhmP+q1bivJBfaX2h18D8eh6pwbWM7veI0Xtni4dHf3AyI17i+ic1vdmc4UG7w6hYvK/INuseq3JRsr5Q95Pew9+h7y0pWY2LSiQ7cxa30ozcNOI2tFM6QUV5O3sMPoDidRI9/pkrXxpfmQ+b7sGku1EmBuu1Nun52E5N7PkjviFQU/vozdqamUTD5eYySEtTQvw5IBTpJ9oUQQgghzoCBwVrWM6fiQ/g2dhBEED3oxtX8i150J4IIX4dZZQ67TF7f6iEz16BrtMrwpnbqBPlHUnYqTLebvLFjKF8wn6jHnyRk0DlHH1ODgoiZ+Bz5454k77FHMQoKCL30ch9G+88K90P2YjjrBlBPoUecgkJzUmhOCrcy7JgE9CmeYRwKHWlPP3rTnz7UJxHNbs3qh8ZAxntQchi6Xf/3120UqvJ0ewez9uu8u93L0lydG5Ps9K7B29N5DZOv9+p8vNNLhB0eaWUnLfb0G/CZmGxiC3OYz2zmsYnN2LHTjVTG8CB9/jSwUt1M06Rgwji827cR99qbaNHRVXIdQ4d1P8LSj0FRodet0HIAFB9W+PDOcGJmdWT2ZfMYcJxyfmdaOug67pXLCerxN2UlAUqSfSGEEEKIU+TByzKWM5t5zGUBBzlEFJH0picjuYNupBLEP2855c900+T7fTof7PASrMEDLe2cFVtzE7EzcWT20rViOTETJhHU869Jg2KzEfXYWNSoKAqem4SRn0/YDcNq7M9j9dfWtngtB5zZeeqTyL+5mn9z9TGl5VN5led5ieY0sxJ/pQ+p16YQFqew6A1rhr/fSLA5TnxuVVE4p56N1FiNN7I9TN7kYc5BlVtTbCQE1azS/s1FBi9v8bCzxOT8RI1rGtsIPo0GfDr60SUTc5jPbvYcXTJxE0PpQbfjLpnwheIP36ds1k9EPzUee/NK2MrhOPZvgEVvQM52aHk2pF0LQeHWY+F1ITS1lE5f/IepZ99Fn8ie2P6U3mr1G6Al1MOVmSnJvhBCCCGEOL4yylhMBrOZx3wWUUQR9UhgQEWn8k60/8sHzUC1rdjglS0eNhebnJug8e8mNkJtNTOpPVNGcTG599+NZ9MmYp+bjLNr6gmPVVSViJF3o0ZHU/TadIz8PCJG3Yui1qzEtKwANs6GjpeAzVl5540hhku4kEu48JimcR/yCa/xJvVJpP85fegYfQHbJyfx3ZMKgx78PXk74XkdCg+0dJCVq/P6Vg8jlru5qpGNCxM1n2/bWOY1+XCHl2/36TQJVZjUwUFK+Kn9fbtxk8FSZjOPeSwgl7yjzRD7cx+pdPnbZoi+UL7kV4qmv0zYf66vkmUrZQWQ8QFsmg11msLFE6Bus78e13nQYeYtb0jCV3355t8/cDEXHPO4oig4U9NwZf11p4naoHb8iySEEEIIcRryKWAeC5nDfH5lCS7cpJDMVVxGf/rSkubHXScaqFy6ySc7vXy5R6dBiMIz7R20jKhZiWxl0vPzyb1nBN49e4h9cRqOtidoJ/8HiqIQPvQG1MgoCp6biJFfQNSYx1HsNSdZW/OdtWa+zeCqu0YooQxiAIMYcMx2cN/zE++nfUyzsWcxYMI4PnkUhjyqEVvnn0cdUmM02kaqfLzDywfbvcw/qHN7MzvNTzG5riyZOTqvbfVQ7IWhTWwMqW/1qTgZxZSwkMVHt8grpZSGNGAI59GP3ie9zaEveHfuIO+x0TjP6k74zcMr9dyGDutnQdZH1mu053Cr+uRESz6Cww2C+kD7b6/i7cHDGRw3ECfHvpacaWmUfv0l+sEDaHXjKzXemk6SfSGEEEKIP9jH/qMd9JezEgOD9rTlNm6mH31oTENfh+gTK/J0Xt3iJddtcnVjGxfX17D7+bZof0c/dIicUXdi5OUTN2069manVqYcevElqJGR5I0dg1FUSPTTE1GDg6so2pPnKYN1P1gl0f80o15Z7NjpTje6041HuJ/fWMvsFvOYO/5huox7gPcecZIzegY9mjSnJ90JJ+yE5wrWFG5MttO7rsYrmz08uMrNefU0rmtsI7iaqktyXCYzsj0syTHoHK0yvKmN+JNYVnCYHOaygDkVHfS9eGlFC27gOvrRm6Yk1/jBQ6O4mNwH70eLiSV67FMo2un3JPizA5tg0Qw4nP2Hkv2TaHcy6AqFmQtVmnx+IZ/d+gXXcdUxjzu6pIKi4FqaRch5F5zgLIFJkn0hhBBC1GomJlvZdrTB3jo2YMNGOl15mHvpS2/iqPp9qmuqfLfJW9s8zD9k0C5S5fG2dhKDa+aMY2Xx7t1Dzog7Mb0e4qa/jq1x49M6T3C//qjh4eQ+dD85I+4g9rkXUCOjKjfYU7T+Z3CXQfshvrm+ikoH2tGBdpj1TdY9vZNFTztxPjqMaQ88wJj2T1V09u/9t797KWEqz3Z08M1enY92eFmSo3NLUzvpZ9AQ758YpskP+3Xe3+7FqcJ9Lez0iPv7PhU72XW0wd5q1qCg0JmO3MNd9KM39Uiosngrm6nr5I0dg55zmDoz3kYNO/GgzKkoK4DMD2HjLxCXDBdNgPhTGFtrEKNS1stLq5+H8OlFN3NJvSHH9DXQoqKwN2+BKzNTkn0hhBBCiEBnYFizixUJ/k52EUIIPTmLf3P1P84u1gamafLzAasTugKMbGanb93AbMD3R57t28kZeSeKw0Hc9BnY6tU7o/M5u6YSO/UVcu8dxeHbhhM7+SW0eN+UEuse+O1ra6/7sDo+CeEYCgptohvT7En4+Tm4ePxLOO7IYEHv93ma5xjPs7Sn7dHO/o3+VFWjKQoX1bfRLVbl9a1eJqz30C1W5+ZkO7GVsNXdH20vMZi+xcPGIpOB8RpDk2yEHaeSwMRkI5uObk24hWycODiLdMYymt70IJqoSo2tuhTNeA3Xr4uJeW7yaQ+A/ZGhw4afrZJ904SeN0PLgae2O8QRZw1RWLbYpNUn1/D+3Z9wK8OOedyZmkbpd99gmmbAv4f9kST7QgghhKgV/rhueC4LOEwO0UTTl17cx0jS6fqXtZ611Z5SqwHf2kKTfnVVbkiyE+Ene5yfCc/GjeTcPQI1JobYKVPR4uIq5byOVq2Je3UGOaNGcPjWm4iZPBV7kyaVcu5TsXUhlORAh4uq/dJ/yxEM5z4M86crbHqxG3fmdqPRRfksUBYxh/lMZwZTeJkUkulPH/rR55h+GfFBKo+2trPosMEb2R7uXO7i341tnFPv5NfQn4hLN/nvLi8z9+jUC1IY385Bm8hjK1u8eFnJ6qODh/vYTzjh9KYHt3Ez3UknGN8v4TgTZb/Movi9dwi/7Q6Czup+xuc7uBkWzoDDW6FFf0i7DoIjT/986QkqX/XwkvLj2Xx18S1ckXQpMfy+FaAzLY3iD97Du3UL9pTjdPoLUJLsCyGEECJglVLKQn5lDvNZwGKKKaY+iQxmEP3oTQfaoVF1Zb/+xmOY/N9unc92eYlzKjzR1k6HqNrx83H/tpqce0dha9CQ2MkvVnq5va1RY+JesxL+nNtuJub5F3G0bl2p1/g7pgErZ0KjLhDTqNoue9JUG/S5E0LjIPN9KMmJYsj153ORdv4xO2F8zOe8ztvUI4F+9KbfkZ0wFBs962h0jFZ5b7uX17O9zD2kc3uKnSahp7fsZFW+zvQtXg67TK5oaOPSBr/3qSinnAyyju7OkUc+dYg7WoXQhc7YAyTV8mzaRP74pwg+exBh1/3njM5VXmiV7G/4BWKbwEVPQ3yLM4/Rriq07g/5mV46fXQjb41+j/sYefRxR7sO4HDiysqUZF8IIYQQwl/lksc8FjCH+SwhCzdumtOMa7mS/vShOSk1vgmWL6wtsMqU95WbXFJf418NbThPY59wf+TKyiT3wfuwt2xFzLPPo4ZWzRIOrU5d4qa/Rs5995Bz123EPPMsztS0KrnWn+1YBvm7ofet1XK506IokHo1hMZajdpKcqD/SAh2BjOAvgygLx68LGM5s5nHLGbzEf8likj60JN+9KGbLZXbU4LoW0fjlS0e7l3p5uL6Glecwuu5wGPydraHuYcM2kQojGntoH6ISiFF/MRi5jCPRSyhjDKa0IhLGEI/+tCGVjW2g/7p0vPyyH3ofmyNGhP5yKOnXQJvGlbJfuaH1v/3GAatBp1eyf6JDKqv8eRZXjp/142v133Ida0PkIC1ZEZxOnF26IgrK5Owq6+tvIvWcJLsCyGEEMLv7WFfRYO9eaxgNSYmnejAXdxKP3rTgPq+DrHGKvaavLvNy6wDOi3CFV7o6KDxac6E+qOy+fPIG/MIzi5drY75QUFVej01IpLYF6eR9+jD5Nw7iuixTxLc/+wqvSbAqi+sGdSEVlV+qTPWehCERMMvL8C3T8I5D/2+c4AdG91IoxtpPMS9rGX90eaaX/ItwQTTg270i+zNk526M2t3CJ/t8rLwsMFtTW10jD5xdmmaJnMOGry9zYMJ3Jlio118LvOUhcxmHktZhhedNrTiJobSnz4k0aRafia+YHq95D36MGZ5OdGvvHbavxsHt1iDN4e2QPN+Vsl+SFTlxgqQGKxSpyuUr/DS7cNbeW3cmzyuPHL0cWdaGkVvvI7pdqM4HJUfQA0kyb4QQggh/I6JyWa2MqeiCdZGNmPHTjdSGcOD9KEnMcT4OswazTRNFh42eDPbg9uA4U1tnJOgodai5lWlP/1A/lNPENS7j7WNmN1eLddVg4OJmfgc+eOeJG/MaIz8fEIvvbzKrrd/PRzYCIMeqrJLVLomqXDBE/DD0/DVaBj8KITXPfYYFZV2tKEdbRjB7Wxj+9F186N5Apuq0bVRFwYm9GLz1u6MXRtDnzo6NybbifxTD4q9ZQbTt3j5rcCgY+Ie6jZaxLu2+fzGWjQ0utKJ+xhFP3oTz58CCVAFL07GvXoVsVNfwZZw6rsGlBdZzffWz7KWjlw4HhJaVkGgfzAoUePdbjppX7Thu+Vvs63L9qMDMs7UdApfnor7t9U4u3St2kBqCEn2hRBCCOEXdHRWs+boh/nd7CGMUHrSnWEMpQfdjtluSZzYgXKD17Z6WZ5ncFasys3JdmIquXt5TVcy8wsKnn2G4MHnE/XQIyi26v1YrNhsRD02FjUqioLnJmHk5xN2w7Aq6RS+8guIbgCNu1T6qatUfHNrTff3T8GXj8C5oyEu6cTHJ9GEYTRhGEM5wEHmMJ85zGeGYwreVs/TyN2aH/f35Ne1PRheL5n+dTW8Jvx3l4f3c9eh11kIrRcyU9tOEE66041xPEYvuhPJGXSP80MlX82k9H+fEXn/gzg7djql55oGbJwNGR9YHfe73wCtz63ckv0T6Rar8npTDyTr9PjwDl7uNIPn1PEA2FJSUKOicWVlSrIvhBCnoowyslhOdmg2G9js63CqzMHQgwF7f4F8byD35890dObHLWQZK8kljzhi6Usv+nMfqXTBTvXMxgYC3TT5eo/Oxzu9hNngkVZ20qpwX/KaqvijDyic9hKhl19BxKh7UFTfLFtQVJWIkXejRkVR9PqrGPl5RIy6t1Ljyd0JO5dB3ztB8cPVGVGJ1r7rPzwNX4+BgfdDgw7//Lx46nIVl3MVl1NIIfNZxBzHfBY1fI/9jV7nodLGND7Uk6LQYg5HL0ZveIgIM4I+Sk/u5za6kUYwVbuko6Zy/7aagucmEXLxJYRectkpPffQVqtk/+BmaNYX0q+zlmRUF7uq0C9eY2k3Lx0/SiJzkY21vdbThlYoqoqzayqurEy49fbqC8qHJNkXQpy2fAqYz0JmM58lZFCOC3yzdXD1CeT7C+R7A7k/P1cvOJ4hnEc/etOetgHXBKs6bCmyttPbXmJyXqLGtY1sBB9nn/BAZpomRW+8TvHbbxI29AbCb7nV53tuK4pC+PU3WjP8z07EKCgg6tHHK21JwaovrYZ3TXtWyul8IiQKhjwBPz8P34+HPrdD874n//wIIriAwVzAYMqUcpaQyf+0eSyJ+RpNd3Ku0oeL6UsnpQO2Wp4e6QcPkPvwAzjatCHy7vtO+nnlRbD0Y1j3E8Q0hCFPQb3q22ziGAMTNL6K1+nZ3qDHx7czrdtEpttfAKx1+2UTZmEUFqBGBH61Ru1+NQshTtk+9jOXBcxmHstZiYFBe9pyKzfRj96UbislKamJr8OsMtu2bQ/Y+wvkewO5P3+3Z9cemiY39XUYfqlMN/loh5dv9+o0DlWY1MFBSnjtGywxTZPCFydT8t9PCL/9TsLPcAuxyhZ68aWoEZHkPfEYRmGh1Sww+Mz2Zi8+BFsWQPq/QfPzAhh7sNWob/5rMHcqlOZCh0usDv6nIpgga8s+Z29002Dbjm2kNJX3FgDTVU7uQw+g2O1Ej3/mpAacTAM2zoHMD0D3wFnXQ5vB1VOyfyINQ1RaRyhs6aGT8GpdCn9JIPPcpaTRFUfXNDBNXMuWEdyvv++CrCaS7Ash/paJyVa2Vax7m8c6NmDDRjpdeZj76Esv4og9eny2mU1QAJe9OU1HwN5fIN8byP35O9kq7/Rk5ui8nu2hyAP/aWJjSH0NrRY14DvC1HUKJk2g9JuvibzvgSpthncmgvsPQI0IJ/ehB8gZcQexz72AGhl12udb/TU4gqFV1Tf7rxaqzZrVD4uxtnArzoHuN55+Yqkpaq1qSPl3TNMk/5kJeLKziXv1dbSY2H98zuFsWPSG1fwxpTd0+0/1luz/nYEJNl4s9HBzD41un93CtH4P866zC7aEBLRGjXBlZUiyL4SonQwMfmMtc5jPbOaxk12EEEJPzuI/XEMPziKcqtmDWAghxJnLdZm8ke1hcY5B52iV4U1txAfVvtl8ANPjIe/JxymfO4eoMWMJOXewr0P6W86uacROfYXce0dx+LbhxE55Ca3uqa/TKS+y9jVvN8SaFQ8UigJdr7aWJiycAaV50H8k2Jy+jsy/lXzyEWU/fk/U2CdxtPz7/RldJRVd9n+CqPpwwZOQ2KaaAj1J3WNV3tDgUC+doCURaN+2Y86l8+lPH5yp6bh+XezrEKuFJPtCCAA8eMhiGXOYz1wWcIjDRBNNX3pxHyNJpytO5F9SIYSoyQzT5Mf9Ou9v92JX4d4WdnrGqT5fl+4rpquc3EcexrU0k+hxTxPcp5+vQzopjlatiXt1Bjkj7+Lw8JuJnTIVW+PGp3SOtd+DaULb86ooSB9rNQhCYqx1/N8+Aec8DEHhvo7KP5VnLKHw5amEXftvQgade8LjTAM2zYWM90F3Q/p/oO1gq+KipnFqCn3rasw5rDNsgA3PzOt5ddBI+oT1xJmaRun/PsO7Zw+2+vV9HWqVqoF/NUKI6lJKKQv5lTnMZwGLKaaY+iRyLgPpR2860A6N2telWQgh/NGOEoPpWzxsKDIZGK/xnyY2wu21M8kHMEpKyH3wPjxr1xAz6XmC0rv5OqRTYmvUmLjX3yBn1F0cvu1mYp6bgqP1yXU887qsZL9FfwgO4B5kjbtajft+mGBtzXfeGAiv6+uo/It39y7yHhuNMy2d8L/pUJ+z3aqkOLABUnpZiX5oTPXFeToGJmh8u0/HHGDgmBtE9Jc9+fbaH7igcx/QNFxZmdjqX+LrMKuUJPtC1DK55DGPBcxhPkvIwo2b5jTjOq6iH71pToqsjRVCCD/i0k0+2+Xliz069YIUxrdz0CaydpbsH2EUFpBzzyi8O7YTM2Uqzg4dfR3SadHq1CVu+uvk3Hs3OXfdRswzz+JMTfvH5234BVzF0P7CagjSx+o2h4vGw3fjYObDMHg0xCX7Oir/YJQUk/vAfahRUUQ/MQ5F++sEj6sEln0Ca3+wtkG84AlIbOuDYE9Dk1CVFuEKc8p0zjvfgfebq3nrvFs5N3og9latcWVlEHqxJPtCCD+3h33MZi5zmc8KVmNi0okO3MWt9KM3DQjsEiYhhAhUq/N1pm/xcshl8q+GNi5roGFXa/eArZ5zmJxRIzAOHyJ22nQcLVr6OqQzokZEEvvSy+SNfoice0cRPfZJgvufuOOe4YXVX0Fyd4gI8C05j4hMhIuehh+fhq/HwMD7oUFHX0dVs5mGQf4TY9EPHiTujbdQw49dA2GasHkeZLxnVYqkXQftzq+ZJft/Z1CCxtTNXm4612DNTxqNPj+fz2+eyQVp6ZR89l9MXT/uIEeg8LO/LiHEyTAx2cxWZjOPOcxjI5uxY6cbqYzhQfrQkxhqeO2VEEKIEyr0mLy9zcOcgwZtIhRGt3bQIKR2z+YDePfvJ2fkHZhl5cS+8hr2pMCY4lWDg4mZ9Dz5454gb8xojIICQi+57LjHbl1sbbk36MFqDtLHQqKsWeefX4Dvn7a69jfv6+uoaq6it96gfNECYiY+h71J0jGP5Wy3uuzvXw/JPeCsoVZDRH/UI07jzWwv84p1Ol9ix/PRxXw05GYGp9+C+dYbeDZuPOnlMf5Ikn0hAoSOzmrWVCT489nNHsIIpSfdGcZQetCNUEJ9HaYQQogzYJomcw8avLXNgwnckWJjQLwm24cB3p07yBl5J2gacdNfD7jGW4rNRtRjT6BGRlHw7ESM/HzCrr/xmOaLpgmrZlqz2nFJJzxVwLIHwzkPwYLXYO5UKMmBjpdaHfzF78rmzKb4rTcIH34bQT17Hf2+uwSWfmr1e4isB+c/DvXb+zDQShCkKfSuo/HzAZ3Lz7Wx6hto9elVfHbnWoaEhOBaminJvhCiZnLjJoOlFR3055NLHnHE0pde9Oc+UumCHbuvwxRCCFEJ9pUZTN/iZXWBQa86KsOS7EQ5JIsB8GzZTM6ou6yS9xenotUJzC5tiqoSMeoe1Kgoima8hpGXS8Soe1FUq6pj1wrI3QHdb/BxoD6katD7NmsmOusjK+HvPsz6vrB+V/LHPUFQ/wGE/ed6wBok2jIflrwHnnJIvdYq2dcC5CPkoASNH/brrCwxSL1Co/z1gXx10S2c3aMd9swMwit+DoFIkn0h/EwxJSxkMbOZx0J+pZRSGtKAIZxHf/rQjjaoSCmnEEIECo9hMnOPzme7vETZFR5rY6dztGQuR7jXriHnnlHY6tUjZvJLaNHRvg6pSimKQvgNw1Cjo60Z/oICoh59HMVuZ9VMqJMC9fykgVpVURToeiWExVqz/CW5MOBusNXyHYT1/HxyH7wPrUEDokY/hqIo5O6ERTNg3zpIPgu6XQ9hcb6OtHIlh6mkhCn8tF9ndH+NlV8adProRj67+kP+PXw1Rnk5alCQr8OsEpLsC+EHcshlDvOZw3wyWYoHD61owQ1cRz/60JQk6aAvhBABaEOhwStbPOwuNbmwvsZVjWwEafJ+f4Rr+TJyH7gXe0ozYp6bjBoW5uuQqk3oxZeiRkSS98RjGIWFeG6cxL61QZx9n5StH9HybAiJhp+fh2/GwrkPQ1CEr6PyDdPrJW/MI5hlZcROm47XDGbZ27DmO4hIgPMegwYdfB1l1RmUoPHqFi85XpO0qzSKp5zF15e8z+AoDzErVxDU7Sxfh1glJNkXoobaxe6j6+9X8RsKCp3pyN3cST96U48EX4cohBCiipR4Td7f7uXH/TopYQrPdXSQHCZVW39UvmghuaMfxtmhI9HPTEINDvZ1SNUuuP8A1Ihwch96gKXj1xKZ0JEmaVL18UeNusAFT8IP4+HL0TD40dqzS8EfFU57CffKFcRMmcb2LYkseRfcpZB6NbQbEjgl+yfSK07jrWwvPx/wclUPO8tn6qR/eBsf33YXD2VlSrIvhKhaJiYb2cRs5jGbeWwhGycOziKdsYymNz2IJsrXYQohhKhCpmnya47BjGwPZToMS7YxuJ6GJlO1xyj7ZRZ5Yx8jqEdPop8cj+Jw+Dokn3F2TUN77A32TUmm4+EZmDkXQ91amM3+jbop1tZ834+DLx+BwaMhLjA2ajgppd98Tcl/P8Ec9hSzvuzCvrWQdJbVZT+sjq+jqx7BNoVeFY36rmhko9s1GvlPt+PbSzqzdfZCOjPS1yFWCUn2hfAhL15WsvroDP4+9hNOOL3pwW3cTHfSCab2zVQIIURtdMhl8vpWD1m5BmkxKjc3tVPHKUn+n5V+8xX5zzxN8MBziBo9BsUmH2fX/5ZCcKSXBvk/cnj4t8ROmYqtcWNfh1WjRNazEv4fnoavx8DZ90HDTr6OquopWzZz+LmX2NbxRTb92I2IunDeGGvHhtpmUILGrAM6K/IMunTWqNvKoMeHt/P24OvokJuDFuOn+wv+DXl3FKKauRQ381jAbOYxn0XkkU8d4uhHb/rThy50xi6/mkIIUWvopsn84lB+WOYixAYPtrTTLVY9Zks1YSn+9GMKX5xMyCWXEnnvA0e70NdmJTmweT50vdpGfPfp5Nw9gsO33UzM81NwtArcLcVOR3AkXPAE/PIC/DABet8K9ia+jqrqeA8e4vDUZayv8188eVF0vVKh/YWBX7J/IilhCkmhVqO+rjEa3a5TOTg6hcyQs1m98Ss6nRV421hIRiFqlI/5jK/qfUsQgdkR08BgY+NNlOOiCY24hCH0ow9taCUd9Guw3aUGGTkGqwsMCktjCSp2+TqkKqG6YhhW15B1wUJUkwPl1nvLnIM620siOLeexnWNbYTaJMn/M9M0KX7nLYpmvEbYtf8m/PY7ZTCkwm/fgOaA1gNBC40nbvrr5Nx7Nzl33U7MhEk4U9N8HWKNYg+CQQ/Cwtdh3ssQ2SiRNaG+jqpymR4PRkEBrsNlFDoeoXEHF91vUQgPzB0pT5qiKAxM0Hhjq5ccl0lCS4WGXQy6v38rr959J68hyb4QVcLEZCqv8hbv0dXoTAKBu9asbX4rLo+5hCSa+DoUcQKmabK52CQjRycjx2B3mYlThfZRKrGaTnhQYH7AXFeqcd9KN0Pqa1wtHb+FqHSmabKj1GRJjkFGjs62EhObAh2jVIYEH6Z/04a+DrFGMk2TwpenUvLRB4QPv42w/1wviX4FVwmsnwWtzwFHRcKqRkQS+9LL5I1+iJz77ib68ScI7n+2bwOtYVQNet0KsU0ge4WHsHD/n2Qyi4vxHtiPfuAAZn4+KArBsdE0HZBL6vUdfR1ejdGnjsY727z8UrF2P+0alV33JlK0oxtZzZeTqnT2dYiVSpJ94XMGBpOYzCd8zj3cRc8D3UhODtyuKdn52STFNPF1GOJPvIbJ2kJrli0jRyfHDeE2SI3R+E8TlQ5RKk5NITs7n+TkGF+HWyU2b93NKkcj/rvLy+LDOrc2tdMlRro6C3EmdNNkY6HJkhydjFyDA+UmIRp0iVG5vKGNzlEqwTaF7GyPr0OtkUxdp+C5SZR++QURd99L2L+u9HVINcq6H0H3QLsLjv2+GhxMzMTnyB/3BHljRmMUFBB6yWW+CbKGUhRoMxiCWxwiOTnc1+GcMtM08WxYT/m8uZTPn4d3+zYUpxNnt7MI6t2XoB49UCMiyc7O9nWoNUqoTaFnnMasA14ub6gR20ShSascun10I9O6Pcw7EW8E1HbWkuwLn/Li5Qkm8A3f8ygPcjkXk428KYnqUa6brMwzWJKjszTPoNgLdZxwVqxGeqxK60i1VnXA1hS4vKGNHnEqr2718tQ6D73idIYl24ly1J6fgxBnymOYrMq3Bg8zc3UKPBBth7RYjW6xKm0jVeyq/E79E9PrJX/cE5T9PIuoR8YQcsEQX4dUo3jdsOZbaN7P2kv+zxS7najHn0SNjKLg2YkY+fmEXX+jVEX4MdPrxb1yBeXz51I2fx7GwYMoEREE9exF+K2340xLRw3y/yqFqjYoQWP2QZ1V+QadojXSbgpn+702lNmdmHfxQvrSy9chVhpJ9oXPuHHzCGOZw3yeZiyDGeTrkEQtUOgxWZprJfgr8w3cBjQKURhcT6NbrEZyqFLrPwjVC1YZ28bOvEMGb2V7uGOZi6FJNs6O11Br+c9GiBMp9Zosy7Mqg5blGZTpUC9IoV9d672lebgivz+nwHS5yBszmvIli4l+cpyUoR/HprlQVgAdLjzxMYqqEnH3vajR0RTNeA0jL4+IUfdIY0M/YpSX48pYQvn8uZQvXIhZVIgWH09w774E9emLo0NH2ZHiFLUIV2gUYjXq6xStEdUkiKSQeXg+H8qrA++hV2h3NAKjslFeGcInyijnXh5iKSt4ngkBNYImap5D5SYZudb6+7UFBgbWG/3VjWykx6okBsuHnj9TFIW+dTU6R6u8s83LK1u8zDmoc3uKnYYh8vMSAiDf/ft7y+p8A68JyaEKl9S33lsahcjg4ekwSkvJfeh+3KtXEzPxOYLO6u7rkGocQ4fVX0JSN4hM/PtjFUUh/IZhqFFRFDw3CaMgn6hHH0ex19KW7H7AKCygfNFCyufNxZWxBNPlwpaUROillxHUpy/2Fi3lveUMKIrCoASNt7d5yXebRDkUOvTcx/af7ER82Z0frpnF+Zzr6zArhST7otoVUcxI7mc9G5nKc6ST6uuQRIAxTZPdZVYTrCU5OluLrSZY7SJVhje1kRqrESNl6Sclwq4wormdvnVVpm/xcvcKN5c10LisoQ2HlCGLWmhfWUVvj1ydDYUmCtA6UuX6JBtpMRp1A7SBZ3UxiorIuXcU3uxsYie/iLNTYDXLqizblkDhfhhw98k/J/SSy1AjI8kb+xhGYSHRT09EDQ6uuiDFKdEPHqB8/jzK5s3FvXIF6Dr2tu0IG3Yzwb37YGvU2NchBpQ+dTTe2+5l9kGdSxvYiOrVnuT/+wT962t487zbGBQ1ADv+PyAmyb6oVvkUcDuj2MUeXuVFOtDO1yGJAGGYJpuLKppg5RjsLTcJ0qBztMpF9W10iVZlO6sz0D5KY0onlc93e/l8t87Cwwa3pdhpGymz/CKwmabJthJrd44lOQY7Sk0cqtVB/85mGqkxGhF2eW+pDHpuLjl3j0A/sJ/Yl17G0Vr2iD8e04RVMyGxHdRJObXnBvc/GzU8gtyH7idnxB3EPj8ZNSKySuIU/8yzfZvVYG/eXDwb1oOm4ezSlch77iOoVx+0uDhfhxiwwu0KZ8Wq/LRf5+L6GvYWLUjhEbabV1H/88H876YvuYrLfR3mGZNkX1SbQxzmVkaSSx4zmEZLmvs6JOHnPIbJmoLfZ9ny3BBptzro35is0j5KldnnSuTUFK5tbKdXnMYrWzw8+pubAfEa1zexES7JjgggummyvvD37TcPukxCNegao3JVIxudolXZmrKS6QcPkDPiToziIuJefg1706a+DqnG2rMaDmfDeWNO7/nO1DRip04n975RHL7tFmInv4RWN3C3PK5JTMPAs37d7x30d+5ACQ7G2e0sQq+6mqCzeqCG+9/OAP5qUIKNeYfcrCkwaB+lEd6lJS12fYt31qV8NORmLoo/n2D8u/pFkn1RLfawj1u5Czce3uIV2WNenLYy3WTFkQ76uQalOtR1KvSK00iP1WgZodSqDvq+0ChU5en2Dmbt13l3u5eluTo3JtnpXUeVNYTCb7kNa3eOjFyDrBydQi/EOCA9ViM9xuqgb5PBwyrh3b2bnBF3gGkSN/11bA0b+TqkGm3VTIhNgvodTv8cjtatiZs+g5xRd3F4+M3ETpmKrbGUiVcF0+PBtWK5leAvmI9x+BBqVBRBPXsRcdcInF3TUJxOX4dZK7WOUGgQbDXqax+l4UxLo9GCqWxtdhHN//svPrzrU27iel+HeUYk2RdVbhvbGc4InDh4i1epTz1fhyT8TIHHJKuihHZVvoHHhCYhCkMSrS7XTaSDfrVTFYVz6ln9D97I9jB5k4e5B1WGp9hICJLSfuEfir0my3KtDvrL8wzKDagfrDAwwRo8TAmTDvpVzZO9lZxRd6GEhBD34sto8TLD/HcObbVm9gfcY+0TfyZsjRsT99oMcu4eweHbbibm+Sk4WsnSicpglJXhWvKrleAvXohZXIyWUI/gAQMI6t0XR7v20kG/BlAU6/3+/e1eCjwmoanp2PRn6NBpG+XzzmXmRbfwr0aXEIn/LnWRV5moUhvYxG2MIoZoXuVF6iBrj8TJOVBeUZ6fo7O+0MQEWkYoXNfE6nItCWXNEONQeKClg6xcnde2ehix3M1VjWxcmKjJLKiokXJdv3fQ/63AQDehWZjC5Q2t9xbZbaL6uNevI+fuEWjx8VYpeUysr0Oq8VbNhPB4qwt/ZdDqxhP3ymvk3HcPOXfdTsyESThT0yrn5LWMnp+Pa+ECyubPxZWZCW4XtqYphF5xFcG9+2Jr1kwmJmqgfnWtZH/OAZ2LG9RHS6xPI9dXrK07ig4fDeXthz5gFHf4OszTJsm+qDKr+I07uIdGNOQVJhPlx6NiouqZpsmOUpOMig7620qsDvodolRuS7GaYEVJB/0aKzVGo22kysc7vHyw3cv8gzq3N7PTPFwSJ+F7e8p+HzzcWGSiAm0jVYYl2UiL1YhzyntLdXOtXEHuffdgS0oi9vkpqBERvg6pxivYZ3Xh7zEM1ErcAlyNjCL2pZfJe+RBcu67m+jHnyS4/4DKu0AA8+7bR/n8eZTPn4t71UowTRzt2hNxy60E9e6DrUEDX4co/kFERaO+WQd0Lqqv4UxNw710CWm3a5S82JOvNn3I1c0PEk9dX4d6WiTZF1UigyxG8SCtaMFLPEcYob4OSdRAummy6Q8d9PeXmwRr0DVa5bIGVgf9YOmg7zeCNYUbk+30rqvxymYPD65yc149jesa2+TvUVQr0zTZWmzN4C/JMdhV0UG/c7TKyOY2ukar0lTSh8qX/Ereww9gb9OWmInPoYbKZ4STsforCAqH5v0q/9xqcDAxk54nf9wT5I15BKPwQUIvvrTyL+TnTNPEm51N+XyrwZ5n4waw23F2TSXy/ocI6tVLKlT80MAEjcfWeFhXaJKcmkbpl1+Q1OwAyxvFkfbBrcx44m0eVR70dZinRZJ9UenmsoD7GU0aXXiOCQQT5OuQRA3iMUxW5xssyTHIzNUp8ECUHdJiNW6JVWkXqWKX8m+/lhKm8mxHB9/s1floh5clOTq3NLWTHluJU1FC/IlumqwrsN5bMnJ1Drsg3GZ10L+2sY1OUSpO6aDvc2VzZpP3+KM407sRM26CNCY7SaV5sGkOdLocbFX0I1PsdqIefxI1MoqCSc9g5OURdv2NVXMxP2IaBp61ayir6KCv796FEhKK86zuhF37b5xnnYUaGubrMMUZaBupUi9I4af9XkZ27QqKgntZJt2uHULBhA58u+oddnbcRSMa+jrUUybJvqhU3/EjY3iKfvRmAk9gx+7rkEQNUOo1WV7RQX9ZnkGZDglBCv3qWg32modLE6xAoykKF9W30S1W5fWtXias99AtVufmZDuxUjItKolLN1mRb5XnL801KPJCnBPSYzTSY1XaRKqyO0cNUvrdN+Q/PY7g/mcT9dhYaVB2CtZ8Z5Xutzm3aq+jqCoRd9+LGh1N0YzXMPLy4MKLq/aiNZDp8eBatrSig/48jNxc1OgYgnr1Jujue3F26YricPg6TFFJ1IpGfR/v8HJTcgT2Fi1xZWXQaOwQ6rQw6P7hHbzS/g2eUZ/wdainTN5lRaX5nJmMZxJDOI/HeAibvLxqtXy3SWZFCe3qfAOvCcmhChdXJICNQqSDfm0QH6TyaGs7iw4bvJHt4c7lLv7d2MY59TRJwsRpKfKYLM21Zu+X5xm4DWgYonBuPY30GI2mYfLeUhOV/O8zCp5/lpAhFxH5wEMomlT6nCx3Kaz7AVoOBGc1TCArikL4DcNQIyMpeP5ZHJlLOFw3HsXhsP7Y7eBwojjsKHbre1R8/8gx2O0oR45xOCu+PvJ8BzjsR/9fcVScz2736QCQUVKCa8liyufNo/zXRZglJWiJ9Qk+ZzBBffriaNNWXrcBrH9djQ93eJl3SKd3WjqlX30JpkG3a1UOPZZC5hIvG7pvoiXNfR3qKZFsTFSK9/iIF5jKVVzOA9yNijTlqo32lxvMLQ5lxmoXGwpNFKBVhMLQJjbSYzXqBskH8NpIURR61tHoGK3y3nYvr2d7mXtI5/YUO01C5b2iMhR7TfZ7bNhKDF+HUiV0ExaWhPDOb27WFBgYQItwhasaWR306wfL66imMk0T7asvKfjvx4ReeTURI0bJYMwpWj8LvG5oN6R6rxt66eVo8fEc+nImqtMJLjdmWRlGYSGmywUeD6bHjelyY3o84HFjuq0/eL2nd1FVrRgscFQMFPxxcMBZMdDgOGag4NjjTzSw4Dw6GHHMwITNjrZwATkvT8W1NBM8HmzNmhN29bUE9emLLbmpvF5riSiHQlqMyk/7dc7umkbxe+/g3bKFem2a06CTQY+P72Ba+mSmac/6OtRTIsm+OCMmJtN5g9d5i2EM5U6GoyBvirWFaZpsKzHJyLFm8HeUmtiIoFOMwp3NrA76EdIES1QIsyncnmKnbx2NV7Z4uHelm4vra1zR0CZrqU9Djsv63cvINVhTYKCbdeGQ29dhVRmVSNpHwc1NbaTHaMTIcpAaz7t7FwWTn8f+62LCh91M2I03SeJ0inQP/PYNpPSGMB/0fQvq0QtPvfrEJCef0vNMw6hI/isGBNwecLswPZ7fBwSOPH70aw+m23X0OVR8/8hzcLsrzuUGtwezrBSj4I/P/f34P17rnwYebIqC2aEjEbffaXXQr5d4Jj8y4ccGJWg8sdbDtlbtiHI6cS3NxN68OWnXqOy+P5GcOdGsP3sjrWjh61BPmiT74rSZmDzHi3zIp4zkdm7g374OSVQD3TTZUPh7B/2DLpMQDVJjVK5sZCM6fyetUpJ8HaaowVpHqkzu5OD/dut8tsvLwsMGtzW10TFayiP/ye7SigZ0OTqbi000xWosdFOyDWfBPuon1vd1iFXGe3AHbQLwvaW8yFqPfXh/DIfjQLOf3B/VDraK/2o20BwVj9ms/yo+LHYwysspfv9dij94Dy0mFveoewm/4krfBeTHNs+H0lzocJGvIzk1iqqCMwjF6fsmzccMPFQMJvxeheBht9tN/Y4dfR2mqAE6RKnUdSrMylG5tmMnXJkZhF1zHXHJkNzDxP7f+0jpbQc/atcgyb44LTo645jIF3zNw9zHlVzm65BEFXIbJqsqOuhn5egUeiHaYTXB6har0jZSxVbRQT+70PRxtMIf2FWFKxvZ6FlHZfoWL2PXeuhTR+fGZDuRUg1ylGGabCn+vXpmT5mJs2ILuQsSbXSJUQmr2NYwu8xDckTglrNnHw6s9xbThK0L4de3wesCe3gIeYo1k/vHP+ZprsxQbX8YBLBVDAqc6M8fBgtUG9gcFc+3//78kx2A8K7IoOStlyHnABFXDiXi+v+wY//eyv3h1RKmAatmQuNUiJbt2k/bsQMP4X89IDu72mMSNdORRn2f7fJyZVpP9NemYrpcKE4nqVcp5DztoPgARPtRU35J9sUp8+BhNE/wC3MZx2NcwGBfhySqQLHXZFmuNYO4PM+g3IDEYIWzE6wO+ilh0kFfnLn6wSpPtbUz+6DOO9u8LF/m4vokG/3rarW23NdrmKwtrNieMkcnx21tIZcWozG0iUoH2ULO7xXuh4UzYPdKSO4O3W+E/Xm7ST5OqbSh/3UAwPCAt+K/xzzmBd39p//3Vnxd8f/He66rBPT8v15H94DhtdaLG96THXhIt/7EAr9Yf+whjdFGWEmrOHnbs6BgL/S909eRCFF7DKhrdeXPatOLzu7ncP+2CmfXNCIT4YqXfFs1dTok2RenpJxy7mc0v5LJs4yjP319HZKoRLmu3zvorymwOug3C1O4rKHVQb9hiJ+9wwm/oCgKA+JtdInWeHubh6mbvcw9aHBriq3WNF4r101WVGxPuTTXoESHOk44K84aXGsVocjuBQHA8MLqb2DZpxAcAec+Ao26VDyYd/znqJr1x+77amhr4OFPAwjeUhdFM7+h+LufIDyGoEuuRGvZAcOrHB0wWDevnJ8mhdLzZmg1yNd34R9ME1Z9AQmtIN5/lgcL4fdinApdY1R+dsXQJToGV1YWzq5pgP8l+iDJvjgFJZQwkgdYw1pe4lm6083XIYlKsKfMIKNiDfDGIhMVaw3wDUk20mI16kgTLFFNohwKd7dw0LeuzqtbvYxa7uZfDW1c0kDDrgbe67DQY5KVa/W+WJlvbSHXOETh/EQrwU8KlS3kAsnBzTB/OuTtgrbnQderwB7s66hOjaqBGgz2iq/LFy2gbPLz2A8epOE11xE29AbU4L/elL3JAfbNSWbBa1CSA12uAnlp/71966zXzLmP+DoSIWqfQQka49Z52DvgQhplLYHb7vB1SKdNkn1xUgoo4A7uYTs7mM6LdKKDr0MSp8k0TbYWm2RUzODvKjVxVKwBHtnMRtcYlXBZMy18qFO0xkudVP67y8snO70sOGxt09cqANajHyr//XdvXYGBCbSMULimYgu5erWkkqE2cZdB1kew9nuIbQIXPwN1mvo6qjPj3buHgikv4Fq4AGdqOrHPv4itceMTHq+o0OMmCIuDzA+gOBd6D7f6AojjW/UFRDeChp19HYkQtU+naJU4JyzseA7/+t+7GAX5qJFRvg7rtMjbrPhHOeRyKyM4xGFm8LJfbTchLLppsragYgY/V+ewy1oD3DVG5drGNjrJGmBRwzg1hX83sdOrYpu+h1e7OSdB499NbEcb0vkD0zTZVWqyJMcq0c8uMbEp0D5KZXiKjbQYjWiH/9yPODXbM2HRG+Aqhm7/gbbnW7Pj/sp0uSj+8H2K3nsXNSqS6HETCOrX/6QqUBQFOl4CoTEw92Uoy4Oz7/W/6obqkLMddq2AfiOkAkIIX9AUhbPjbcx0JzLEEYRraRbBAwb6OqzTIsm++Fv72M9wRlBGGW8ynaYE3rZHgcqlm6zIt8rzl+YaFHkh1gHdYjXSY1XaRKqyBljUeE1CVSa0d/DDPp0PdnjJzNG5qamd7rFqjS1xN0yTTUW/b0+5r9wkSIMu0SqXNLDRJVolxI8GLMSpK8mBRW/C9gxrTX6PmyC8rq+jOjPlvy6m4IXn0PfvI+zqawm7/kbUkJBTPk+zPhAcBbOeha8ft8rUQ6IqPVy/tupLqwqiaQ9fRyJE7TUgXuO/O70sH3AVZ2dJsi8C0A52MZy7UFF5m1dpQODu3xwoijwmS3Ot2fvledYa4IYhCufW00iP0WgaJmuAhf/RFIXzE22kx2q8ke3h2Q0eukar3NLUTt2gmvF69hgmawp+76Cf54FIu9VBf1iy1UE/EPsOiGMZOqz/CTI/BJsTBtxjddv357dd7769FL44mfL583B0TSXm2eexNzmzgf8GHWDIU/DDePjyYRg8BqISKylgP1d00NqS8azrZZmDEL5Ux6nQOVplUdfz6DVjBKZp+uVnaHkbEce1iS3cxkgiCOdVXiIeP5+SCGCHXdYe3BkVHfQNoEW4wlUVa4BrSzdzEfjinAoPtXKwJEdnxlYPI5a7uKaxjfMTNZ9UqZR5TZblWYNry3INSnWID1LoXdcaXGshHfRrlZztsOBVq6laq0GQdh04Q30d1ekz3W6KP/qA4nffRgmPIPqp8QT1P7vSPuzGJcFFT8P34+DLR6wZ/vjmlXJqv7b6K3CEQosBvo5ECDEwQWNCXjzblTBi9+zG1qChr0M6ZZLsi7/4jbXcwd0kUo9XmEIM0b4OSfzJrtLfZxA3F5toCrSLVLmlqbUGOEY66IsA1i1Wo32kyoc7vLy9zcvcgzp3NLPTNKzqB7by3b930F+Vb+AxISlU4cL61vaUjUOkeqa28bpg+Wew6iuIrAcXjrO2S/Nn5Ut+tUr29+0l9KqrCb9+GGpo5Y9chNeFC8fDj8/AN49blRBNUiv9Mn6jrAA2/AIdLq4ZWy0KUdt1jVGJtpks7HYhbbMyJdkX/i+L5YzkfpqTwks8RwThvg5JYK0B3lL8+xrgPWUmQRUd9C9ItNElRvWrpmVCnKkQm8LNTe30qavxymYP9690c0GixtWNbQRXcrPJA+XW4FpGjs6GQhOAVhEK/25iVc/EB0n1TG21exW/byf3LytJ0+z/+LQay7t/P4UvTaZ87hwcnbsQM/FZ7EnJVXrNoHA4/zGY/SLMmgQ9bobWg6r0kjXW2u+t/7Yd7Ns4hBAWTVE4u56NrzsP4po5zxN6yWW+DumUSbIvjlrAYu7jYTrSgSlMJBhpketL3j+uAc7VyXVDhA1SYzWuT1JpHykd9IVoHq7yXEcHX+3V+WSnl19zdIY3tdM15vRbnpumyfaSisG1XIPtJSZ2BTpEqdyWopEWqxEp21PWamUF8Os7sGU+1GsDgx/17zXnpttN8ScfUfz2myjh4UQ/MY6gswdWW5WKzWl15v/1HVj4GpQchq5X+3evg1PlKbeS/ZZnQ1CEr6MRQhxxdrzG5zuDWOwK5VJdR9H8a0sVSfYFAD/yM6MZS096MJEnceL0dUi1Urlusjzv9w76JTrUcUKPOI1usRotZQ2wEH9hUxUubWCje5zKq1u8jFvnoUeczk3J9pPe1k43TTYU/t7/4oDLJESzSvj+1dBG5yiVYKmeqfVMEzbNgSXvWl/3uQOa9/PvpLQ8YwkFk59D37OH0CuuIvzGm6qkZP+fqBp0vxHCYiHjfataovdttadJ3YafwV0K7Yf4OhIhxB/FB6m0t5eysMNAhmxYj6NNW1+HdEpqyVuo+Dsz+ZoneYZzGcgTPIpdXhbVqtBjrQFeUrEG2G1A4xCFCxI10mM1kkJlDbAQJyMhSOXxNnbmHzJ4a5uHO5a5GJpkY2C8hnqc3yG3YbI636qeycrVKfBAtB3SYjW6xaq0jZQO+uJ3+XutWee9ayClt9UtPTjS11GdPv3AAQpemkz5nNk4OnUmZvxE7E2b+jQmRbGWQoTGwtxpUJoPZ98HjgAvNDS88NvX0LSn/2/RKEQgOicpnEnetmxZ9S2tJdkX/uRDPuVZpvAvLuFh7kNF1p5Wh4Pl1gzikhyd9YUmJtAyQuGaig769aSDvhCnRVEU+tTV6Byt8s52L9O3WA38bk+xFlKXVHTQX5JjbU9ZrkNikEL/utbgWvNw5bgDA6L20j3WvucrPoeQGDjvMWvrOH9lejy/l+yHhhI19kmCB55TowaVU3pZAyk/TYJvHrM69YcEcK/gLQuh+DB0vNjXkQghjie1jp2INTn8XBZOa18Hc4ok2a+lTEze4B1e5nWGci2juAOFmvMPfaAxTZOdpSZLcgwWHIpj914XNgXaR6ncmqKRFqMRdZLlxkKIfxZuV7irmZ2+dVSmb/Vy9wo3jeyx7NznwmtC0zCFyxrYSI9RaSgd9MUJ7N8AC6Zbs/odLoLO/7LWl/sr19JMCp57Fu+e3YRefgXhN92MGhrm67COq357a2eD78dbW/MNfhSi6vs6qspnGrBqJjTsDDGNfR2NEOJ47KpCH88+fm7UiZuLSwkOC/F1SCdNkv1ayMRkMtN4j4+4g+HcxFBJ9KuAYZpsKrKafC3JMdhfbhKsQQu7zlXJdjpHq4TIGmAhqlS7KI0pnVT+b7fOygPlXJ9kIz1Go06Q/O6JE3OVQOYHsP4nqNsMLn0WYpv4OqrTpx88QMHUFyn/5WccHTpSZ/wE7E1TfB3WP4ptAhc/Dd+Ngy9Hw7kPQ3wLX0dVuXYuh7xd0PNmX0cihPg7g1KiyVxfzL595SQ3k2Rf1FA6OhN4js+ZyQPczTVc4euQAorHMPntSAf9HJ18D0TaIS1G4+ZklfZRKru27yW5TgDXIwpRwzhUhasa2Ujz5pKcGOXrcEQNZpqw7VdY9CZ4XdB9GLQ+x2oe549Mj4eS/35C0VtvoAQHE/XYEwSfc65fVbKE1bFm+H+aCN+MhQGjoEm6r6OqPKtmQt3mkOBvtcFC1DINUxrwalPTr94/QZL9WsWDl8d4ih/5mbGM5mIu8HVIAaGsYg1wRo7OsjyDUh3ig6x1w90q1gBLB30hhKjZig7Cojdg5zIrmew+zOoM769cS7MoeOE5vDt3VJTs34IaVjNL9v9JULjVK2HOSzDrOegxDFqf6+uoztz+DbB/PQx6wL93dBCitvC3RB8k2a81XLh4kMdYyGKe4UkGMcDXIfm1fPexHfS9JiSFKlxU32qw11jWAAshhF8wdFjzLSz9BJyhVuLlzzPH+qGDFE59ibKff8LRvgN13n4Pe7Pmvg7rjNkcMOBuWPIOLJwBxTmQeo1/J8mrZlp9CBqn+joSIUSgkmS/FiijjFE8yEpWMZmJ9KK7r0PySwfKrfL8jBydDYUmAK0iFP7TxErw44Okg74QQviTw9kwfzoc3gZtBkPq1eDwn6WYxzC9Xkr++ylFb81AcQYRNeZxgs89L6AGnlUNzrrRKu1f8i6U5ELvW0Gz+zqyU5e3C3ZkQZ87QJGPD0KIKiLJfoArpIi7uJfNbOVlJtOVzr4OyW+Ypsn2EqvBXkauwfYSE7sCHaJUbk/RSI3ViLQHzocoIYSoLTxlsPRTa0Y/uqHVBK6uH09+u5Yvo+D5SXh37CD00ssJv3k4ani4r8OqEooC7S+0tuKbOw1K82Dg/eAI9nVkp2bVlxAaY20zKIQQVUWS/QCWSy63MYp97Oc1XqIdbXwdUo2nmyYbCk0ycnQycgwOuExCNOgao3JFQxudolWCNUnwhRDCX+1cBgtfh7JCSL0W2l8Aqp9+GtIPH6Zw2ouU/fQj9nbtqfPWe9ib+/GoxSlI6QXBUfDTJPh6DAwebQ0A+IPiw7B5PqRf559VCUII/+Gn/7yJf3KAg9zKCAop4k1eoRk1f4sdX3EbJqvzrRL9rFydAg9EOyA9RiM9VqVtpIpdlQRfCCH8WWkeLH4LshdDgw5wwRMQkeDrqE6P6fVS8vl/KXpjBorDQdToxwgefB6KWrvqweu3gwufgh/Gw8yH4bxHIaqBr6P6Z799DfYgaDnQ15EIIQKdJPsBaBe7Gc4ITEze4lUa09DXIdU4JRUd9Jfk6CzPMyjXITFIoX9FB/1m4QpqAK1zFEKI2so0YP3PkPm+NYPfb6Q1K+yvb/GuFcspeP5ZvNu3EXLJZUTcPBw1IsLXYflMbBO4aAJ8Pw6+HA3nPAwJLX0d1YmVF1mvx7bn+d/SAyGE/5FkP8BsIZvbGEkwwbzGS9TDT6ctqkCe2ySzYv396ooO+k3DFC5rYKNbrEqDYOmgL4QQgSR3Jyx4DQ5sgBb9If0/1jZu/kjPOUzhtKmU/fg99jZtiXvzHRwtanBWW43C4uDCcfDTRPj2Ceg/CpJq6I4K634EU4e25/s6EiFEbSDJfgBZxwZuZxR1qcN0XiSWGF+H5HP7yn7voL+xyEQB2kSqXJ9kIz1Wo45TknshhAg0Xjes+J+1tVl4XatkP7Gtr6M6PabXS8n/PqfojddQ7HaiHnmU4PMuqHUl+//EGQaDx8Dcl2DWs9BjmLXDQk3idVlNIZv3g5AoX0cjhKgNJNkPEMtZyV3cSzJJvMwLRFA7S/pM0yT7SAf9HIOdpSYOFTpFqdzVzEbXGJUI6aAvhBABa+9v1mx+0SHoeDF0vMzao90fuVattLrsb91KyMWXEjH8VtSISF+HVWPZHDDgHgh5Fxa9ASU5VhPGmlK0t3EOuIqhw0W+jkQIUVtIsh8AFrOEe3iIdrRlChMJJdTXIVUr3TRZV2CQkWOQkatzyAVhNugarXJNIxsdo1WCpIO+EEIEtPIiWPIebJoNCa1g0IPWtnr+SM/NofCVaZR99y321m2Ie+NtHK1a+zosv6Co0P0GCIuFJe9CSS70vs33Xe8NHVZ/CUln+W9jSCGE/5Fk38/9wlweZAzdSedZxuPE6euQqoVLN1mVbyX4mbk6RV6IdUB6rNVBv02Eik066AshRMAzTdgyH359Bwwv9LoVWg6wkj5/Y3q9lM78PwpffxVF04h86BFCLrhQSvZPQ/sLISQG5k61dmIYeD84QnwXT/ZiKDpoxSGEENVFkn0/9jXf8TjjGUh/xvE49gD/6yz2mizNtdbfr8gzKDegQbDCoASrg35KmDTYE0KI2qRwPyx4HfasguQe1oyuv+y1/mfKpo0ceuIxvFs2E3LRxUQMvw01MsrXYfm1lJ7W2vifJsLXY+Dc0RDqg3ZGpmn1j6jfAeKSq//6QojaK7CzwwD2CZ/zDM9zCRfyKA+gofk6pCqR6zJZkmutv19TYKCb0Dxc4V8NrQ769UNktkMIIWobwwurv4Jln0FwJJz7CDTq4uuoTp3p9eJeuZzSb7/F+eP3KC1bETfjbRytpWS/siS2tTr1fz8OvnzYauIX3aB6Y9i9EnK2w/mPV+91hRBCkn0/9H+RX/EBn3IdV3EvI1AIrNnsg16Nlbu9LMnR2VRkoinQNlJlWLKN9BiNWOmgL4QQtdaBTbBgOuTthnYXQJcrwR7k66hOnlFejivjV8rnzaV80SLMokK0+AQ8N9xEvRuHoWiBOXjvSzGN4aIJVsL/1Wg452FIqMZdC1fNhLimkNiu+q4phBAgyb5fMTF5hdf5IPZThjOMWxkWUIm+aZq8ssXLrIPxOFUvnaNVRjW3OuiH2QLnPoUQQpw6b7nCwhnWPuVxyXDJRP8piTYK8ilftJDyeXNxZWZgulzYkpsSevm/COrdB3vzFmzbtk0S/SoUFgcXjrdK+r8dC/1HQVK3qr/uwS2wdw2cfW/N2RVACFF7SLLvJ0xMpjKdt3if/+RczW2xN/k6pEr37T6dWQd0LonM56rW8Tilg74QQtR6pgnbM+HX1xqiu6DbUGh7Hqg1PC/WDxygbP5cyufNxb1qJRgG9rbtCL/pFoL69MXWwE+3CvBjzlA4bwzMeQlmPQfdb7ReS1Vp1RdW9/0m6VV7HSGEOB5J9v2AiclkpvEeH3EvI+hRkA6xvo6qcq0tMHh7m5cLEzV6USqJvhBCCAr2weI3YdcKiGvlYtBIG2F1fB3V8ZmmiXf7Nqs8f/5cPBs2gM2Gs2sqkffeT1Cv3mixcb4Os9bT7DDgbgiNtV5bJTmQdm3V7N6Qvxe2ZUCvW2r+4JQQIjBJsl/DmZg8z0t8wCc8wN1cwxVkk+3rsCrVYZfJpA1uWkeoDE2ysWObryMSQgjhS14XrPw/WDnT6q4/6EHQYw8QVqdm1e2bhoFn3VrK582lbME89J07UUJCcJ7VndCrriWoew/UsDBfhyn+RFHhrOuthH/Ju1CSC31utwYCKtPqL60Gks36Vu55hRDiZEmyX4OZmExiMh/zGQ9xL1dxua9DqnQew0r07Src19KOJgvahBCi1jJN2LEUfn3LSsA6XAydLgWbE7JryDi36fHgWr6M8vlzKV8wH+PwYdSoaIJ69SborlE4u6aiOJ2+DlOchPZDrK345rwEZXkw8H5whFbOuUvzYNNc6Hol2ByVc04hhDhVkuzXUAYGE3iez/g/HuUBLucSX4dUJV7f6mVbscmE9g4i7ZLoCyFEbVW4Hxa/BTuXQYOO1trqyERfR2UxSktxLfnVSvAXL8IsLkZLTCT47EEE9e6Do117aa7np5r2gOAo+OkZ+GoMDH7UGgA4U799Y1UKtDrnzM8lhBCnS5L9GsjAYDyT+D++4nEe5hIu9HVIVeKn/V5mHdC5q5mNlPAqWCwnhBCixvO6rHL9VV9YJc8DH4Amab7vXK7n5eFatICyeXNxZWWC242tWTNCr7iK4D59saU0Q/F1kKJSJLaxOvV/Pw6+fNhK+KPPoH+iuwTW/QStBllNAYUQwlck2a9hDAyeZAJf8i1jGc1FnO/rkKrEpiKD17d6OTdBY0C8vAyFEKI22rG0oklaLrS/EDpdBvYg38Xj3beX8vnzrA76q1eBaeJo34GI4bcR1Lsvtvr1fRecqFIxjeCiCfDDOPhyNJzzENRrfXrnWvcT6G5od0HlxiiEEKdKsqwaREdnLE/zLT8wjsc4n3N9HVKVyHebTFzvJiVMYViyvASFEKK2KTxQUbK/FOp3sGZSo3yQR5umiTd7q9Vgb95cvJs3gd2Os2sakQ88RFDP3mgxlVDTLfxCWCxcOA5+mgTfPQn9RkLyWad2Dq/bKuFv3rdylgMIIcSZkEyrhvDi5THG8QOzGM/jDGaQr0OqEt6KhnyGCQ+0dGBXpQRSCCFqC68bVs2ElV9AUDicfR8kdavekn1T13GvXVOxRd489D27UUJCCereg/D/DMXZrTtqqNRe11aOUGvwae5U+Pl56H4DtD2FIsvN86CsANpfVHUxCiHEyZJkvwbw4uVRnmQWs5nAE5zD2b4Oqcq8s83LxiKTce0cxDgl0RdCiNpi5zJYVLGvefshFSX7wdVzbdPtxrVsqZXgL5iPkZeLGhNDUK8+BN17P87OXVAc0jJdWDQ79B9lbc23+C0ozoH066wt+/6OoVvb7TVJg6ga0lxSCFG7SbLvYx68PMLjzGEeE3mKs+nn65CqzNyDOt/s07mlqY1WEdKQTwghaoOig1bCtCML6reDwY9AVIOqv65RUozr11+tBnu/LsYsLUGr34DgwecR3Kcv9jZtUVT5t0gcn6JCt6FWwv/rO9YgVd87rYGAE9meCQX7rPJ/IYSoCSTZ9yEPHh5kDPNZxLM8TT96+zqkKpNdbPDKFg/962oMTpDtiYQQItB53bD6K1jxPwgKgwH3QHL3qi3Z13NzKF+wgPL5c3EtzQKPB3uLloRde53VYC85WTroi1PS7gIr4Z/zInxfAIPut0r9/8w0rR0l6rWBus2qP04hhDgeSfZ9xI2bB3iURSzhBSbQm56+DqnKFHpMnlnvoWGIwq0pNvmgJYQQAW7XClj0BhQdspKlLv+qupJ97+7dVgf9+XNx/7YaFAVHh45E3H4XQb37YKtXr2ouLGqN5LMgOAJ+nAhfjYHBo60BgD/auwYObbXW+wshRE0hyb4PuHBxH4+QwVJe4Bl60d3XIVUZ3TR5fqOHct1kfDsnDmnIJ4QQAavooFXyvD0DEtta25edyX7lx2OaJt7NmymbP5fyeXPxbt0CDgfOtHSiHn4UZ89eaFFRlXtRUevVa2N16v9+PMx8xEr4Yxr9/viqLyC2CTTo6KsIhRDiryTZr2YuXNzDQyxlOVOYSHe6+TqkKvXhDi+/5RuMbWunTpAk+kIIEYh0j1Wyv/xzcIZC/7uhaY/KK9k3dR1l/ToKvp5pddDftw8lLIyg7j0Jv/EmnOndUENCKudiQpxATCO4+Gkr4f/qUTjnQWsQoHCPg92rrKZ+UrwohKhJJNmvRuWUczcPsYKVvMizdCPN1yFVqUWHdf5vt871TWy0jzq5dfr7fniH0m0b4LZnqjg6IYQQlWH3Sqtkv/AgtDsfOl8Bjkos2TddLg7dMgzn5k2UxcVZHfT79LU66NvkY4yoXqGxcOFT8NOz8O2T0H8k7JgbRXhdqyeFEELUJPKvZDUpo5xR3M8q1vASz5FGV1+HVKV2lBhM3eShV5zKRfVPLtE33OUcWvglhqsMb1kxtuCwKo5SCCHE6So+DL++DduWWLObAx84tqy5shS9/Sbe7dtwPzSaxhcMkQ76wuccoVYZ/7yX4ecXAELpMQxU6T8shKhhJNmvBmWUcRf3sZb1TON5utLZ1yFVqWKv1ZAvIUjhjmb2k27Il79qPkZ5iXWOTcuJ6hC4uxMIIYS/0j3w29dWyb492CpdbtqzasqXPRs3Uvzh+4TfeBOH2raTRF/UGJod+o2AsDjY8qubFv2dvg5JCCH+QpL9KlZCCXdxHxvYxCtMphMdfB1SlTJMkykbPRR6TJ7r6CBIO/lPfzkZ3xHevAslh/dRuD5Tkn0hhKhhdq+qKNnfD23Pgy5XgqOKlsqbXi/5E8Zha5JE2HX/4dCuXVVzISFOk6JC2nUQ130PNmeyr8MRQoi/kGS/ChVTwp3cw2a2MJ0pdKCdr0Oqcp/u9LIsz2BMGzv1gk9+BqZs/3ZKtq+jyb8fxfVbBoUbl2IahsziCCFEDVCcA0vegezFkNAKBt4HMY2r+Joff4hny2biXn8LxW6v2osJIYQQAUiS/SpSRDF3cDfZbOdVXqIdbXwdUpXLzNH5dJfOtY1tdI4+tYVrORnfYwuLIqLNWRwsLKF05SzK9m4lpEGzKopWCCHEP9E9sOZbWPYZ2IOssuWU3lXfcdy7cwdFb75B6JVX42jdumovJoQQQgQoSfarQCFF3MZIdrKb13iJNrTydUhVbk+ZwZRNHtJjVC5rcGqJvuFxk7f0Z2LTB6Pa7GgJTVGdIRRuyJRkXwghfGTPb1bJfsFeaDMYul5pNSaraqZhkP/M02hxcYTfPLzqLyiEEEIEKEn2K1kBBdzGKPawl9eZSita+DqkKldW0ZAvxqEwsrkd9RSnfPJ/W4BeVkRs+mAAFM1GePPOFK7PIuHsa6siZCGEECdQkgNL3oWtiyC+JVz6LMQ2qb7rl341E/fKFcS+9DJqUFD1XVgIIYQIMJLsV6J8ChjOXRzgIK8zjRYE/qy0aZpM3ezhsMvk2Q4OQmynXtuZs+Q7wpp2wFmn/tHvRbRMZdfnU/CWFGALjazMkIUQQhyH4YU138GyT8HmhL53QbM+VV+y/0f6wQMUTptKyJALcXZNrb4LCyGEEAFIkv1KkksetzKCQ+Qwg2k0I8XXIVWLL/boLM4xeKiVnQYhp95Mr/zgLkqyf6PxtQ8f8/2IlmlgmhRtXEZ05/6VFa4QQojj2LsGFs2A/L3Q+lzoehU4q6Fk/49M0yT/2YkoIcFE3Dmyei8uhBBCBCBJ9itBDrncwl3kk88bvExTknwdUrVYkafzwXYv/2qo0S321NbpH5GT8T1aSASR7Xoc8317ZCzBiU0p3JAlyb4QQlSRklzIeA+2LID4FnDJJIjz0T9h5T/PwrVoIdETJqKGh/smCCGEECKASLJ/hg6Twy3cSRHFvMHLJNHE1yFViwPlBs9v9NAxWuWqRqf3MjK8bnKXziKm60BUm+Mvj4e3TCUn43tMQ0dRT28wQQghxF8ZXljzvVWyr9mhzx3QvK+1b7hP4inIp2Dy8wT1609wn36+CUIIIYQIMJLsn4GDHOIW7qSEUt7gZRrTyNchVQuXbjJhvYdQm8I9Lexop7mgs2DNYvSSgqON+f4solUaB2d/QumuTYQ2DvwdDYQQojrsWwsL34D83dBqEKReDc4w38ZU8OJkTF0n8p77fBuIEEIIEUAk2T9NBzjIzdyJCxdv8gqNaOjrkKqFaZq8ssXDvjKTiR0chJ1GQ74jcjK+JzSpLUHxxx8kCW3UCi04jMINWZLsCyHEGSrNgyXvwZb5ULc5XDIR4pJ9HRWUL/mVsh++J2r0Y2ixcb4ORwghhAgYPirY82/7OcBN3I4HT61K9AG+2asz75DBnc3sNAk9/ZeP6/BeijevILbbeSc8RtE0wlt0oXB95mlfRwghajtDh9++gU9HwO6V0Pt2uGh8zUj0jZISCiZOwJmaTvB55/s6HCGEECKgyMz+KdrLPm7mTkxM3uAV6lPP1yFVmzUFBm9v83JhokavOme2hj4n83u04DCi2vf62+MiWqax85Nn8RTlYQ+PPqNrCiFEbbN/PSx8HXJ3QetB0PVqCKpBve+KXnsFoyCfyAeno1TnHn9CCCFELSDJ/inYw15u4g40NGYwjcRalOgfdpk8u8FNm0iVoUln9rIxvB5yM38kussAVLvzb48Nb9EVgKKNS4npOvCMriuEELVFaT5kvA+b50KdZnDJM1Cnhu0I61q9ipL/fU7EiFHYEuv7OhwhhBAi4Eiyf5J2sZubuRM7dmYwjQTifR1StfEYJhPXu7GrcF/L02/Id0ThuiV4i/OJTT9xCf8R9vBoghs0p3BDpiT7QgjxDwwd1v0IWR+DqkHv26BFf9912T8R0+WiYMJ47K3bEHr5Fb4ORwghhAhINeyf/zPj9Xp59NFHSUpKIjg4mOTkZJ588kkMwzh6jGmajB07lsTERIKDg+nbty9r16792/PuZDfDuB0nTt7g5VqV6AO8vtXL9hKTh1o6iLSfeZllTsb3hDRuTXC9k9vMOaJVGkUbl2Hq+hlfWwghAlX+didfPACL34KUnnDlVGh5ds1L9AGK3n0b757dRD08GkWTrVWFEEKIqlADPwKcvokTJ/Lqq68ybdo01q9fz6RJk3j22WeZOnXq0WMmTZrECy+8wLRp08jKyiIhIYGBAwdSVFR0wvPexT2EEsIbvEw8davjVmqMH/d7mXVA59YUGynhZ/5yceXup2jTshNut3c8ES1T0cuKKdm5/oyvL4QQgaS8CDbNhR+fgaUv10fV4OJnoNfwmrU2/488WzZT/P67hA+9AXtyU1+HI4QQQgSsgCrj//XXX7nooos4/3yro2+TJk34+OOPWbp0KWDN6k+ZMoXRo0dz6aWXAvDuu+8SHx/PRx99xPDhw4973lS68CD3EktM9dxIDbGx0GDGVi+D62kMiK+cl0pu5g+ozmCiOvQ+6eeENGyOFhpJ4fpMwpLaVkocQgjhr4pzYHsGbM+EfWvBNKyt9FpdfogeV9RBrcET5abXS/7T47A1akzYf673dThCCCFEQAuomf2ePXvyyy+/sGnTJgBWrVrFwoULOe88a234tm3b2L9/P4MGDTr6HKfTSZ8+fVi8ePEJz/soD9a6RD/PbTJxg5tm4Qo3nmFDviNMXbca83Xqj+YMPunnKapGRIuuFG6QLfiEELVT3m5Y8T/44gH46Bb49R1QVehxE1w7Ay6eAPXTi2p0og9Q8t9P8GzcQNQjj6LY7b4ORwghhAhoATWz/+CDD1JQUEDLli3RNA1d1xk/fjxXX301APv37wcgPv7YNffx8fHs2LHjhOctLCw85mun04nT+fdd5P2ZxzCZtMGNCdzf0oFdrZztkAo3ZOIpzCG226nvpRzRKo285b/gLjiMIzKuUuIRQoiayjTg0BbYVjGDX7AXbEHQsBO0GwINO4Mz1NdRnhrv7l0UzXiN0CuuxNFGqrSEEEKIqhZQyf6nn37KBx98wEcffUSbNm1YuXIlo0aNIjExkaFDhx497s97+Zqm+bf7+zZs2PCYr0eMGMHIkSMrN/hTUFBQQHZ2dpWd//8KIthUEsrtcYfJ3+0hv5LOWzr7c9Q6jdnvUuBv4j/e/RnOWFAUshd8j6N1j0qKyDeq+u/P1+T+/Fcg3xvU/PszvJCXHcyhNSEcWhuKq9CGPVSnTusSmpxTSkyzMjS7CcCeA399fo2+P9PEPmEcSkQEOQPPJec04qzR91cJAvn+AvneQO7P38n9+bdAvr/k5OQzPkdAJfv3338/Dz30EFdddRUA7dq1Y8eOHUyYMIGhQ4eSkJAAWDP89erVO/q8gwcP/mW2/4927dpFRETE0a99PbOfnZ1dKX/5xzPngM7CvR6GN7UxoF7Df37CSXLnH2TdzrU0vGwEsf8Q+4nub1OjVthztpGU/O9Ki8sXqvLvryaQ+/NfgXxvUDPvz1MOu1ZYs/c7l4K7FMLqQLPekJQG8S01VC0CiPjHc9XE+zui5KuZFKxbS8yUqQS1bn1a56jJ91cZAvn+AvneQO7P38n9+bdAv78zFVDJfmlpKap6bBsCTdOObr2XlJREQkICs2bNolOnTgC43W7mzZvHxIkTT3jeiIiIY5L9QLW12GD6Vg8D6mqcm1C5Cz9zM39EtTuI6tj3tM8R0SqVg3M+w/B6UG2y1lMI4Z/KC2HHUqtEf89q0N0Q0wjang9N0iG2CfxNsZnf0Q8donDaSwSfdwFBaem+DkcIIYSoNQIq2R8yZAjjx4+nUaNGtGnThhUrVvDCCy9w4403Alb5/qhRo3j66adp1qwZzZo14+mnnyYkJIRrrrnGx9H7VqHH5Jn1bhqFKAxPsf3tsoZTZRo6OZk/EN2pH1pQyGmfJ6JlGvt/eJeS7WsJT+lYafEJIURVKzpozd5vz4T968E0Ib4FpF4NTdIgIsHXEVYN0zQpeH4SisNB5AjfLX8TQgghaqOASvanTp3KmDFjuP322zl48CCJiYkMHz6cxx577OgxDzzwAGVlZdx+++3k5eWRnp7OTz/9RHh4Dd2QuBropslzGzy4dHiwnQNHJTXkO6Jo4zI8+YeITT/vjM4TnNgUW3gMheszJdkXQtRopgl5u6wt8rZlQM42UG1Qvx30vAUap0JIlK+jrHrlc2ZTPn8e0eMmoEZE+jocIYQQolYJqGQ/PDycKVOmMGXKlBMeoygKY8eOZezYsdUWV033/nYvawoMnmhrp05Q5deO5mR8R3BiU4IbNj+j8yiqSkTLVIo2ZMGQWyopOiGEqBymAQc2WQn+9kwo3A/2YKtzfsdLrE76jtMvbvI7RmEBBc8/S1CfvgT16+/rcIQQQohaJ6CSfXHqFh7SmblH54YkG+2iKn+DZk9BDgXrltDgotsrZWlARMtUcrN+xJ17AEfMiZsqCiFEddA9sHeNNXu/IwvK8iE40pq57z7MmsnXammLkYKXXsT0uIm85/5KXRomhBBCiJMjyX4ttqPEYNpmD73iVC5MrPxEHyAn60cUzU505wGVcr7w5l1AVSnckEVc9wsq5ZxCCHEq3GWwa7k1g79zBXhKITze6qDfJB3qNgO1at5S/UZ5xhLKvvuGyIdHo9Wp4+twhBBCiFpJkv1aqthr8sx6DwlBCnc0s1fJrItpGORmfE90hz5owaGVck4tOJTQJm0o3JApyb4QotqUFVgz90c66BteiE2C9kMgKR2iGwVWB/0zYZSWUjBpAo4uXQm54EJfhyOEEELUWpLs10KGaTJ5o4dCj8lzHR0EaVXzCbVo83LceQeI7XZmjfn+LKJlGgdmfYDhcaPaHZV6biGEOKLwwO/r7/dvsJL5hFaQ/m+rg354XV9HWDMVvf4qRm4usS++LOX7QgghhA9Jsl8LfbrTy/I8gzFt7NQLVqvsOjkZ3xOU0ISQxq0q9bwRrdLY992bFGevJqJF10o9txCi9jJNyN1hzd5vz7D+X7ND/Q7Q+zZo3NVajy9OzL3mN0o++5SIO0Zga9DA1+EIIYQQtZok+7VMRo7Op7t0rm1so3N01S0q9RTlUbBmMfWH3FLpMztBCU2wR8ZRuCFLkn0hxBkxdDiw8fcZ/KKDVsf8Rl2h87+gYUero774Z6bbTf6EcdhbtiL0iit9HY4QQghR60myX4vsKTWYsslDeozKZQ2qtntU7tJZKKpGdJfKacz3R4qiENEqzdqC76LbKv38QojA5nXD3t9+76BfXggh0VYH/aR0qNem9nbQPxNF772Dd+dO6rz9HopNPl4IIYSoOoUbl3Jo/v9hdBwMycm+DqfGkn+NT8LafJ30cBPVj9celnlNJqz3EOv4f/buOr7K+v3j+Ov0trNz1j3YxojRuVFSKqEiYAcWtmJ+7fqZWHxtsbtbQQUEUUBpUCRHjVj3dtY7cf/+uNGvhRI7u09cz8eDh3Ns536fbezc1yeuj45ru5q8+lwURaFy1Vwi+4zAGGb3yjXsWTlUrpxLS0UhltgUr1xDCBE4XC1Q8rOVvM8g/2dwNkNEMnQ7en8H/c6g896upoDn3LWL+rfeIPy8CzB17qJ1HCGEEAHKWVdN0ZwXqP75e3QmC7rSfNy9B2IICdM6mk+SYv8gPLDVSZeKVk7vaGRIjN7vin5FUXhqh5PKVoWZfc2EGb2bv37XL7RWFNHx9Bu8do3wzv3QGYw4ctcQd5QU+0KIA2t2wLwZUL4zgbhM6Hey2mAvMlU66LcFxe2m5qEHMKZ2wHb+NK3jCCGECECKolC1ej5FX70COh0dz7yJsI5Z5D5xJfmfPEna1NukKezfkGL/IPxfDzNza3U8muukQ5iO0zsYGRarx+AnP1CfFrhZWenh1u4mUsO8P3VVuXIulvgOWDN6ee0ahpAwrJ1649i6mrijpnjtOkII/1ZfDl/fB60NkHNNAf1GSdO4ttbw8Yc4t24h9oWX0ZnlhBQhhBBtq7ksn/xPnqIhbwNRA48lZdJlGK1qx9zQ0edSs/AVwjv1JnbYiRon9T1S7B+E7hF6Bncwk+vw8FG+i8e2Oflgn47TOhgZEefbRf/P1W7e3evitA4GhsR4d58+gKuhltqNy0g6fprXR9fsWdkUz3sdT2szenOIV68lhPA/1QUw9z7QG2DSDKhsatU6UsBxFRZS99ILWE85DXPvPlrHEUIIEUA8rlbKvvuQ0kUfYIqMI/PSh7F1HfCHjzF1GYS1oYzC2S8Q1rEbYaldNUrrm2SH4iHIsuv5v55mZvY1kxyq48ntTq5a18qiUhcuj6J1vL8oafbw2DYn/aP0nNmxfcZ1qtYuBCB60FivX8vePQfF5aRu5y9ev5YQwr+UbYc5d4DFCpMfhIgkrRMFHkVRqHn0IfQRkdguv1LrOEIIIQJIfd5Gtj1+BSXfvkf86FPJuvHFvxT6v0qedCkhSRnseesBXI117ZzUt0mxfxi62PTc0cPMY/3MpFl1PLPDxfR1rSwsceH0kaK/xa3w8FYn4UYd/+lmapfVB4qiULlyLhG9h/+2tMabLHEdMEcnUpe72uvXEkL4j4L18NW96p78E+9XO+2Lttf09Ve0rllNxC23oQ+TxkhCCCGOnKuxjn0fP8HO527AEGqj2/XPkXTcNPQmywE/R280k37uHbib6tn34X9RFN+ox3yBFPtHIDNcz63dzTzRz0xmuI5ZO11cua6F+cXaFv2KojBrp5PiJoVbu5sI93JDvl817N5ES3kBMYOPa5fr6XQ67Fk5OLauln/UQggAdi2D+Q9Bck844f/AEq51osDkrqyg9pknCZ1wHCFDhmodRwghhJ9TFIXqn78nd+bF1PyyhNSTr6bL9McJTco4qM+3xCTR8cybcGxeQfnST72c1n/Inv02kBGu5+buZvY2ePgk38WLu1x8nO/i5FQjYxMNmPXtu6f/yyI3S8s93NDNRLq1/cZzKlfOxRybTHhm33a7pr17DhXL59BSnk9IfMd2u64QwvdsngfLXoUuo2DUFaCXVzivqX3sv+gMRiKuvV7rKEIIIfxcS1UJBZ89Q13uGiJ6H0XqlOmYImIO+XEieg4lbtSpFH39Kta07ljTe3ohrX+Rmf02lGbVc0OWmWcGmOkVoefVPBeXrW1hTqGLFnf7zDxvrHHzxm4Xk1MMjIjzfkO+X7kaHdRsWEpMznHo9O33YxWe2Qed0YRjqyzlFyJYKQqs/RCWvQK9J8Lo6VLoe1PT4u9pXvwdEf+5EX1EpNZxhBBC+CnF7aZs8cdsm3kJzcW7yZh2Lxnn/99hFfq/Sj7+Qqwds9jz9gxcDbVtmNY/SbHvBalheq7vZubZgWb6Rxp4Y7da9H9R4KLZi0V/eYvCf7c56Rmh57z09r3TrV63CMXjITp7XLteV28OITyzL47cNe16XSGEb/C41SL/p48g5xwYcj7o5JXNazwOB7WPPUrIUSMJOeZYreMIIYTwU43529n+9NUUff0K0UOOJ+umV4joeeTbwnQGI2nn3I7H5WTve4+geDxtkNZ/yS2RFyWH6rmmq4nnBpnJjjbw9l4Xl65p4bMCF02uti36Wz0Kj2xtxayHG7PapyHfrxRFoXLVPCJ6DsVka/9OWPbuOTTkbcTd3Nju1xZCaMfthO+egq0LYOQV0O8k8OGTUAOCY9bTKM3NRNx0s9ePVxVCCBF43C1NFM5+nu1PX4OieOh69dOkTr4CQ0jbNXo1R8aRdvYt1G1fR+l3H7TZ4/ojKfbbQWKInuldTDw/0MKwWAPv7XVx6doWPs530dAGRb+iKLy4y8XeBoVbupuJMLXvDVjj3q00l+whZsjx7XrdX9mzslHcLup2/qzJ9YUQ7c/ZpDbi27sajr0RsmSS2eta1q6m8cs52KdfgyEuXus4Qggh/Ezt5hXkzryYypVzST7hIrpdO4uwjt28ci17t0EkHHM2Jd+8Rd3O9V65hj+QYr8dxYfouLyziecHWRgRZ+CjfepM/wf7XNQfQdH/TYmbRaVuLu9spHN4+39LK1fNwxyVgK3L35996W2W2BQscanUyVJ+IYJCswO+ugfKtsNxd0LGYK0TBT5PUxM1Dz+Euf8AwiZN1jqOEEIIP+KsrWT3m/ex+/W7CUlIo9uNLxE/+jR0Bu/2F0scdw7hmX3Y++5DOB2VXr2Wr5JiXwNxFh2XZpp4cZCFoxMMfFagFv3v7nXicB5a0Z/r8PBKnovjkgwck9D+HancTQ1Ur19M9OD2bcz3Z/asbDmCT4ggUF8Oc+5U/3vifZDcS+tEwaHu5RdxV1QQeevtmv6uF0II4T8Uj4eK5V+ydeZFNOzeRNrU2+h08QwsMUntcn2d3kDa1NsAHXveeQjF7W6X6/oSecXWULRFx0Wd1KJ/bKKBOYVuLl3bwtt7nNQeRNFf1arwSG4rXWw6LszQpvV09c/fobidxGSP1+T6v7JlZeOsraC5ZI+mOYQQ3lNdALPvUPfqT3oAYjtpnSg4tG7ZTMNHH2C7+BKMHeSIUyGEEP+uqXg3O5/7DwWfPUNk31Fk3fwKUf3HtHu/F5MtivRzbqdh9yZKFrzVrtf2BXI4kQ+IMuuYlmHipBQjc4pcfF3k5qsiN8clGZiSYiTS/Nd/FE6PwszcVgBuyjJj0rd/oyRFUahY+TX27oOP6IiMthDeqQ96kwXH1tWEJmVomkUI0fbKdsC8GRAWBcffBdZorRMFB8XppObBBzB16Ur4mWdrHUcI0U7cTQ04tq6idtNymnVm6HSz1pGEn/A4Wyj99j1Kv/8IS0wSna/4L+GZfTTNFJ7Zh6QJ51M873Ws6T2xd8/RNE97kmLfh0SadZyXbmJKipEvi1x8VeRmbrGb8YkGTkoxEm35X0H/+m4XO+oUHuhtJvpvBgPaQ1P+dpqL8kg+7kJNrv97epOZ8C79ceSuJuHoM7SOI4RoQwXrYcFMiEmHCbeBJVzrRMGj/p23cO3dQ9yrb6Izyi2DEIHM6aikdtMKajcvp37nehS3C3NsMq0VRTSMmoS1Y5bWEYWPq9vxM/mfPoWzupzEY88m/ugz0BvNWscCIH7MGTTs3sze9x+l23+ewxwZHI1m5ZXbB9lNOqammZicYuTLQhdfFrmZX+xmbKKBk1ONrGkMZW6Nm8syjWTZtduJUblqLqbIOGzdBmqW4ffsWTkUfPEsrqZ6jKFSDQgRCHYtg++fhtS+cOwNYLRonSh4OHfnUff6q4RPPRdT165axxFCeEFLeSE1m5ZRu2kZjXu3gl5PeKc+JJ94KRG9hmGyx7DxoQspmf8GmZc+rHVc4aNcDbUUfvkS1WsXYu3Um04X3kdIvG9t+9Lp9XQ862a2PXEFe95+kC5X/hedIfBL4cB/hn4s3KjjrDQTk1KMfF3kZk6RiwUlbhQlkmPiDUxI9G4Hy3/ibm6k+ufv1U6aeu1y/J49Kxs8Huq3/0Rk35FaxxFCHKHN82HZK9BlJIy6EvTyitVuFLebmodmYExOwTbtIq3jCCHaiKIoNBXuoHbjMnWJfuledCYL9m4D6XjGjdh7DMFotf/hcyw5k6j75kXqdv6CrXNfjZILX6QoCtU/LaJw9gugKHQ47Xqis8f7bCNXo9VO+rl3smPWfyj6+lVSJl2mdSSvk1snP2A16ji9o5GJyQbmFrvJLXNwWeeodm9w8Xs16xfjcbYSnaNtY77fM0cnEJKQhiN3jRT7QvgxRYF1H8FPH0HvE2HIeaDzzfuGgNXw6Sc4N20k5vmX0FlkOYUQ/kxxu6nfvZHaTWqB76wpxxBqw95jMIkTzsfebRB6c8gBP9/YqR+hqV0omf864dOf0PT+U/iOlopC8j99mvodPxPZfwwpky7HZIvSOta/sqZ1J3niJRTNeQFrRk8iex+ldSSvkmLfj4QZdZzawUieswazXtvuVBUr52LPyva5/S727jlUrVuE4vH47KiiEOLAPG5Y/hpsmQ85U6HvSSD3le3LVVxM3YvPEXbyqVj69tM6jhDiMHicLdRtW0fNpmU4tqzE3ViHKSKWiF7Dieg1jPBOvQ96CbNOpyPpuGnkvXw7dblrgqq5mfgrj8tJ+ZJPKFn4LiZbFJ0unqGurvUjcSNOomH3JvZ9+BihyZntdhSgFqTYF4essXAnTQXbSbzgHq2j/IUtK5uyxR/TVLSLsNQuWscRQhwCtxO+fwZ2r4CRV0DWsVonCj6KolD76EPobDbsV1ypdRwhxCFwNdapHfQ3LqNu21o8zhYs8R2JHTqRiJ7DCO3Q9bBn5W1dB2LN6EXxvNexdRskEypBqmHPFvI/eZLmsn3EjzyFhLHnYLCEah3rkOl0OjqefgPbnrySPW/dT5ernkRv8o1Ggm1Nin1xyCpXzsVoj8befbDWUf7Cmt4TvSUMR+5qKfaF8CPOJrXjfvFmtRFfxhCtEwWnpvlzaVm1kuiZj6O3SqNTIXxda20FtZuWU7tpGfW7NoDHTVjHLBLGnkNEr2GExHdok+v8Oru/87kbqN34o2yXDDLupgaK5r5K5cqvCUvtStdrZxGWkql1rCNiCLWSft5d7HjmWgrnvECHU67ROpJXSLEvDom7pYnqn78jbvhkdAbfaMz3e3qjCVvXATi2riHx2KlaxxFCHIRmB8x7EGoK4Pg7Ibm31omCk7uqktqnniB03HhChgf2HkYh/Flz2b7fGuw15m8DvQFb576kTrkSe8+hmCNivXLd8E69sXUbRPE3bxLRa7hP3geKtqUoCrUbf6Tgi1l4WppImXQ5scMn+Uxz7iMVltKZlClXUvDJU4R36k1U/zFaR2pzUuyLQ1Lzy1I8LU1E50zQOsoB2bOyyf/kKVwNjr90lBVC+Jb6Cph7HzTXwYn3QWwnrRMFr9onHkOn12O/9j9aRxFC/I7i8dBYsF1tsLdxGS3lBehNFmxZ2XQcMQV7Vg7GMFu7ZEk67gK2P3kVVT8tIiZ7XLtcU2ijtaaMgs9n4di8AnvPoaSeNN3nenW1hZjBx9OQt5H8j58gNCXT544MPFJS7ItDUrlqHrYuA3y6kYU9KwcUD3Xb1wXkCJ0QgaK6QC309QaYPAMikrVOFLyali6hedG3RN5zH4Yo3++mLESgU9wu6ndtUAv8zStw1lZgCLMT0XMoyRMvwdZ1AHpT+5+UEZbalYjeR1G64G2i+o9BbzS1ewbhXYrHTcWyORTPfwODJYz08/9PXckRoN1ydTodqadcS2PBDva89QBdr3n6H0+n8DdS7IuD1lS8m8a9W0g/7y6to/wjU0QMocmZOLaulmJfCB9VtgPmzYCwKDj+LrBqe8BIUPPU11P730exDBtO6FjfOU5ViGDjbmmibvs6ajcuw7F1Fe6mekyR8UT0GUFEz2GEZ/TyiaXzSePPJ/exS6laNY/Y4ZO0jiPaUGPhLgo+eZLGgu3EDp1I0nEXYgi1ah3L6wyWUHX//lNXU/DZs3Q880atI7UZKfbFQatcNQ+jLYqInkO1jvKv7N1zqFg5F8XjDph9RUIEioJfYMGjEJMGE24Hi/SB05Rj1jMojY1E3nRrwM7cCOGrXA0OarespHbTMuq2rUNxtRKSmE7s8MlE9BpGaEpnn/t3GZKYRtSAYyj59j2is8cF1CxosHK3NFGy4G3Kf/iMkPiOdJn+BNb0HlrHalehiemknnot+95/FGun3sTkBMbgtxT74qB4nC1Ur/uWmCEnHPS5rFqyZWVTuuh9GvO3Y03rrnUcIcR+u5bB909Dal+1676x/Vehit9p+WkdjbM/J+LGmzEkJGgdR4ig0Fpdpi7P37Sc+t0bQVGwpnUnacL5RPQahiU2ReuI/ypx3LlU//w9FcvmED/mdK3jiCPgyF1DwadP46yrJmnCBcSPOtUv7vW9IXrgsdTnbaTgs2cIS+1CaLL/NxIKzu+kOGQ1G37A3VRPzGDfbcz3e9aO3TGEhuPIXSPFvhA+YvN8WPYKdBkJo64EvbwCacrT3EzNww9i7tuPsCknax1HiIClKArNpXt/a7DXVLgTncFIeOd+pJ58NRE9hmKy+9deJktMEjGDj6P0+w+JGXJCUCz1DjTOumoKZz9PzfrFhHfpT+Zlj2CJleY5qVOupHHfNva8/QBdr30GQ4h//2zLrZY4KJUr5xLeuZ9fjDYD6AwGbN0G4ti6mqTx52kdR4igpiiw7iP46SPoPRGGnA86vdapRN2rL+EuKyVm5uPo9PINEaItKR4Pjftyqd20jJpNy2itKEJvCcWelUP86NOwZ+X4fYGccOzZVK1ZQNnST+Vey48oHg9Va76h6KuXQW+g41k3EzXgGJ/bLqIVvclCxnl3se3J6eR/8iRpU2/366+NFPviXzWX7qNh9ybSzrld6yiHxJ6Vw74PZuKsq8Zkk+7SQmhB8cCyV2HLfMieCv1OAj9+zQwYrVu30PD+e9guvRxjWprWcYQICB6Xk/pdv1C7Ue2g76qrwmiNwN5rGJGTryS8cz/0JrPWMduMOSKW2OGTKF/6GXFHTcZojdA6kvgXzWX7yP/kKRryNhI9aBzJJ14i37e/YYlLoePp/2HP2w8QntHbrxtRSrEv/lXlqnnqcS+9hmkd5ZDYug0CoG7bWqIHjdU4jRDBx+2E75+B3StgxOXQXf4Z+gTF5aLmoQcwZnYm/OxztI4jhF9ztzTh3LmOPSs+xLF1FZ7mRszRiUT1H0NE7+FY07oHdKPghKPPoHLl15R+9yEpJ16qdRxxAB5XK6WLPqDsuw8xRcWRedkj2Lr01zqWT4vsO5LY3ZMpnPMiYR2zCOvQVetIh0WKffGPPK5WqtYuVLutGv1rNNpkiyKsQzccuaul2BeinTmbYOFMKNqsNuLLGKJ1IvGr+nffxrV7N7GvvI7OKLcBQhwqj7MVx7Y11KxfjGPzSjzOFpTkTsSPPIWIXsMJScrw62W/h8JojSBu5CmUff8R8SNPwRQRo3Uk8Seuoh1s+2QGrZXFxI85nYRjzg6oFSbelDzxEhr35rLnrfvpev1zGMNsWkc6ZPIqL/5R7cZluBsdftOY789sWdlU/PgFitvtE2fTChEMmh0w70GoKYDj74Tk3lonEr9y7tlD3WuvEH7WVMzdsrSOI4TfUNwu6nb8TPX6xdRuWoanuZGQ5E4kjJ1KXVQGnfsP1jqiZuJHnkLFj7MpXfQeqSdfrXUcsZ+iKBR+8RyNy2ZjTe9B+nl3EZqYrnUsv6I3mkk79w62PzGdwpdn0XH7OehujYcO/jNYIsW++EeVK+di7dSbkPiOWkc5LPasbEoXvkPDvq2EZ/TSOo4QAa++AubeB811cOJ9EOv/p9YEDMXjofaRGRgSE7FddLHWcYTweYrHTX3eJmrWL1ZPJWp0YIlLJW7EyUT1G01Ignpv1JCXp3FSbRlCrcSPOZ3i+W8QN+pULDFJWkcSQPVPi6hYNhvL8NPoPPkiacR6mCzRiXQ86yZq7/wKVtfC/YlaRzokUuyLA2opL6R+1y90POtmraMctrAOXTFYI3BsXS3FvhBeVlMAX9+vNuCbNAMi5QQfn9L4+We0/vILMbNeQGcJ0TqOED5JURQa9+VSvX4xNb8sweWowhSVQMzg44jsN5rQ5E5Bs0T/UMQOn0T5D59TsvAd0s68Ses4Qc/VUEvhnBeJ7D8GT99jpNA/QhE9hmDytNAYnY+uKYQwMrWOdNCk2BcHVLlqHoZQG5F9Rmgd5bDp9Abs3QZRl7sGjr9Q6zhCBKyyHTBvBoRFwvF3gVW2bfoUV0kJjuefJWzKSVj6D9A6jhA+RVEUmoryqFm/mOr1i3FWl2K0RxPZdxRR/UYT1jFLCvx/YbCEknDMWRTOfp6EMWf8tupBaKNwzovg8ZAy6XLyy6u1juP/PAqhuxJpGl1JaFK61mkOiRT74m95XE6q1i4gauAx6E0WreMcEXv3HKp/WkRrbQXmiFit4wgRcAp+gQWPQkwajL8NQvyvf01AUxSF2pkPowuzYr9S9tMK8avmsn1U/7yYmvWLaSkvwBBmJ7LPCCL7jSa8U6+A7qLvDTFDjqNs8ccUf/MmGefdpXWcoFW3fR3V676lw+k3qEdPS7F/5DY3o6tyE3Z2X/Cz3wtS7Iu/5di8Ald9DTGDj9M6yhGzdR0IOj11uWsC4vkI4Ut2LYPvn4aUPjD2RjD699hgQGpa8A0tK5YT/ehj6MPDtY4jhKZaKoup+WUJ1esX01yUhz4kjIhew0mZfAW2Lv3RGeTW+HDpjWYSx51L/keP0Viwg7DULlpHCjqe1mbyP32a8My+RGeP0zpO4FjaAGE6GBimdZJDJr/RxN+qXDUXa3oPQpMytI5yxIxWO9a0LBxS7AvRpjbPh2WvQOcRMHo66OUVxee4q6txPPkYIceMJeQo/92SJcSRaK2toOaXpdSsX0zjvlx0JgsRPYeQOO5c7N2y5RiyNhQ98FjKvv+Q4vlvkHnxDK3jBJ2SBe/grK0g8+IHZetJW1pSD8OsYPa/r6ncmom/aKkspm77T3Q440ato7QZW1Y2Zd9/jMflRG80aR1HCL+mKPDTx7DuQ+g1EYaeDzrp/eOTHE8+hqIoRFx/g9ZRhGhXrvoaajb8SPX6xTTs3ohOb8SWNYi0qbdh7zEEgyVU64gBSWcwkDj+PPa+8yD1uzcTntFT60hBo7FwF2VLPyFp/PlY4lK0jhM4Gj2wpgnuStA6yWGRYl/8RdXq+ehDrET1Hal1lDZjz8qhZP6bNOzZjK1zP63jCOG3FA8sfw02z4Pss6HfyWr3feF7mpf9QNPCBUTedQ+G6Git4wjhda6memo3Ladm/WLqdvwEgK3LADqcfgMRvYZhDJVtLO0hss9ISpM/oHjea3S+4r8yw9wOFI+b/I+fICS+I/GjT9M6TmBZ2QCtCoy0ap3ksEixL/5AcbuoXPMN0QOORm8OnKOZQpMzMdqiqctdI8W+EIfJ7YTFz0DeChhxOXQfq3UicSCehnpqZj6CZchQQifI9iURuNwtTTi2rKR6/WLqcteieFxYM3qTOuUqIvschTE8UuuIQUen15M04QJ2v/Z/1G1fh73bIK0jBbzyH2fTVLiDLlc9KX0n2tqSBkg2QqZ/bveRnwbxB7VbV+FyVBEz5Hito7QpnV6PPSsbx9bVJE+8ROs4QvgdZxMsnAlFm+HYGyBjiNaJxD9xPDcLpa6OiJtulVk1EXA8zlYc29ZQs34xjs0r8ThbCOuYRdIJFxHZd6ScvOMD7N0HE5bWneJ5b2DrOlB+D3lRa1UpJfPfIHb4JKxp3bWOE3h+aIBR4X67jFGKffEHVSvnEdahG6HJmVpHaXP2rGyq1nxDa1Up5mj/3HcjhBaa62D+DKjOh+PuhJTeWicS/6Tl559o/PxTIv5zI8akJK3jCNEmFLeLuh0/U71+MbWbluFpbiQkuRMJY6cS2XcUlhj5WfclOp2OpOOmseuFm6ndvJzIXsO1jhSQFEUh/7OnMYSGkzRhmtZxAk+xE7a1wHX+O4Aoxb74TWt1GY5ta+hw6nVaR/EKW9eBoNfjyF1D7LCJWscRwi/UV8Dc+6HZARPvg7jAGwcMKEpLMzUPz8DUuw9hJ5+qdRwhjojicVOft4ma9Yup2fAD7kYHlrhU4kacTFS/0YQkdNQ6ovgHts79CO/Sn5J5bxDRYwg6Pzuf3B/UrF9MXe4aMqbdiyHE/46F83lLG0AHHOWf+/VBin3xO5Wr56M3hxDZb7TWUbzCEGrFmt4TR+5qKfaFOAg1BfD1/erKtUkzIDJZ60Ti39S99irukhKiH/kvOr0ckSD8j6IoNO7LpXr9Ymp+WYLLUYUpKoGYwccR2W80ocmdZEm4H0macAE7nrmW6vWLiR5wjNZxAoqr0UHh7OeJ6DOCiJ5DtY4TmJbWQ58QiPbfktl/k4s2pXjcVK2eT1T/MQF9HI09K4fShe/gcbbKubpC/IOyHTBvBoRFwvF3gTVG60Ti3+j27Kb+vXewXXgxpvQMreMIcdAURaGpKE+dwV+/mNbqUoy2aCL7jSKq32jCOmZJge+nrGndsfccSsk3bxPVd5Q0j2tDRV+9jMflJHXKlVpHCUweRZ3ZnxqldZIjIv/iBACO3LU4ayuIGRxYjfn+zN49h+K5r1Kft0G6wwpxAAW/wIJHISYNxt8GITatE4l/o7hcmF5+EWNGBuHnnKd1HCEOSnPZPqp/Vgv8lvICDGF2IvuMILLfaMI79ZJl3wEiafz5bHviCirXfEPskBO0jhMQ6naup2r1N6Seei0mu4zGe8WWZqhywyj/XcIPUuyL/SpXzSU0pTOhqV20juJVIYnpmCJiqctdI8W+EH9j1zL4/mm1Cd/Ym8Bo0TqR+DeKy4XjuWfR7dtL5CuvozOZtI4kxAG1VBZT88sSqtcvprkoD31IGBG9hpMy+QpsXfrLzG8ACk3uRGS/0ZQufJfogWNlZeUR8jhbKfjkKawZvYjJkaNVvWZJA4TpYKB/90KQ36iC1toKHFtXkTplesAvk9PpdNi75+DIXUPK5Cu0jiOETylYbiP3C+g8AkZPB728Qvi8lnVrqX18Jq69e3GdcRbm7j20jiTEX3gaaihb+hk16xfTuC8XnclCRM8hJI47F3u3bCn+gkDSuPPYOvMiKlZ8RfzIk7WO49dKv32X1uoyMi68V3qzeNOSehhmBbN/10ZyKyeoWvMNeoOJqP5Hax2lXdizcqhcOZeWikIssSlaxxFCM4qiHqe3ZzXsWQUVeXH0OgGGXgA6uX/wae7ychzPPkXTwgWYevUm7rW3yDfKS7rwDe7mBurzNlK/cz11O9fTXJRHg8GELWsQaVNvw95jSED3BxJ/ZYlLIXrQOMoWvU/M4OPk+3+Ymop3U/r9RyQeO5WQeDmNwmsaPbCmCe6M1zrJEZM7gyCneDxUrppPZL/RGEL9e0/KwQrfv0zQkbuGuKOk2BfBRfGozfd2r1ILfEcJmEKhwwBIPqqEwZMSCfAFPn5Ncblo+PhD6l59BZ3ZTOQd/0foccerszt5eVrHE0HK09pMw54t1O1cT/3O9TQWbAePB1NkHLbO/aH7SDqPnoQxNFzrqEJDiWPPoXrdIsp/+JzEY8/WOo7fUTxu8j95EktsCvFHn651nMC2sgFaFRjl/7+zpNgPcnU7fsJZXUrMkMBuzPd7Bkso1k69cWxdTdxRU7SOI4TXuZ1QtGn/DP5qaKqB0AhIy4ZhF0JKHzCYIC+vUQp9H9by80/UPjYT157dhJ10CvZLLkNvt2sdSwQhj8tJY/426neoM/eNe7eiuJ0YwyMJ79yPmJwJhHfuhzkmCZ1OR15enhT6AnNUPDFDT6Bs8cfEDjsRY5h0fz0UFSu+pnHvVjpPfxy9Uba+eNXSBkg2Qqb/f52l2A9ylSvnEpKUQVjHLK2jtCt7VjbF817H09qM3hyidRwh2lxrExT8rM7g7/sJnI1gS4AuIyE9B+K7gjS69g/uigocs56h6Zt5mHr2IvbVNzB3C67f2UJbisdNU+Gu32buG/I24nG2YAgNJzyzD8knXkJ4536EJKQFfO8fcWQSjjmLqlXzKFv8McnHX6h1HL/RWlNO8dzXiBk6kfCMXlrHCXxLG9RZ/QD4fSbFfhBzOqqo3byClEmXBd2Ls717DkVfvkT9rg3Yu+doHUeINtFUC3vXqLP3hRvUGf2YDOhzolrgR6cFxOtW0FBcLho+/YS6V15EZzIRefudhB4/URoyCa9TFIXmkj2/7bmv37UBT3MDepMFa6feJI47l/Au/QhNzpTj8cQhMdmiiB1xEhU/fE7ciJMw2fz7DPP2oCgKBZ8/i94SQvLxF2kdJ/AVO2FbC1wXq3WSNiHFfhCrWrsAnd5A1IBjtI7S7ixxHTBHJ+LYulqKfeHXHKX/a7BXuk19X2IWZE9VC3x7grb5xOFpWf+zumQ/bxdhU07Gftnl6O0RWscSAUpRFFori36bua/f+Quu+hp0BhPW9B7EjzqF8M79CevQFb1RjnYURyZ+9GlULP+S0kXvkzrlSq3j+LzajT/i2LyC9PP/L2j6a2lqaQPogKMC42stxX6Q+q0xX9+RQblnSqfTYc/KwbF1FYoS+EcOisChKFC1938FfuUedb99Sh8YcZm6Dz9UakK/5a6qVJfsz5uLqUdPYl95XY7TE17RWlP+v5n7netx1pSDXk9Yh27EDD6O8M79sKb3QG+yaB1VBBhjmI340adSuvA94kedijnK/zuee4urqZ6CL2Zh7zmUiF7DtY4THJbWQ58QiA6MMjkwnoU4ZPW7fqG1soiOZ96odRTN2LvnULF8Di3l+XJ8ifBpHrc6a/9rg726UjCFQdpA6H8KpPYHs5xi5NcUl4uGzz+l7qUX0BmNRNxyO2EnTpIl+6LNOOuqqd+1Yf/M/XpaKgoBCE3OJLLPSMI79yO8Uy8MIYExmyV8W9xRJ1HxwxeUfPsuHU+7Xus4Pqv461fxtDSTetJVMjHVHjwK/NAAZwfO9hIp9oNU5aq5WOI7Yk3vqXUUzYRn9kFnNOHYulqKfeFzXK1QtFEt7veuUffjh0aqS/PTcyC5lzqjL/xfy4ZfqH3sUVw7dxI2aQr2y69AHxGpdSzh51xN9TTkbfxt5r65eDcAlvgO2LoOIOn4CwnP7IPRKkuBRPszhIQRf8yZFH31MgmjT8cSJ0ch/1n97k1UrvyalJOuwhwZp3Wc4LClGSrdMCpwBj2l2A9CrvoaajcuI+mEi4J6lFBvDiE8sy+O3DXEjzpV6zhC0NoA+35Wl+fn/wTOZrAnQpfRkDEY4ruATiZ6A4a7qgrHc8/SNPcrTFndiX35Ncw9gncAVhwZd0sTDXs2U7/zl/1n3e8AxYMpKgFbl37EjzkdW2Y/TBExWkcVAoDYoSdSvuRTihe8RfrU27SO41M8rlbyP36CsLQexA6dqHWc4LGkAcJ0MDBM6yRtRor9IFS19ltAR/TAY7WOorlfu/K7W5owWGQdtGh/jdWwZw3sXQ2FG8HjgthM6HuSOoMf1UE66Acaxe2m8YvPcLz4POj0RNx8K2EnTkZnkK7m4uB5XK007s39bea+cV8uituF0RaNrXNfYoYcT3jnflhikrSOKsTf0pvMJIydSsGnT9M05gxCkztpHclnlH33Ia2VxXS97k7ZztWeltTDUCuYA+fGS4r9IKMoCpWr5hLR5yhZugfYs7Ip/OI56nf8TESvYVrHEUGitlidvd+zGkq3q8V8Ug8Ycp5a4IfLar2A1bpxA7WPzcS5fRthJ07GdsV0DJGRWscSfkBxu2ks3PHbnvv63ZtRnC0YQm2Ed+5L8qTLsXXuhyW+Q1Cv2hP+JSZ7PGXff0zxN2/Sadq9WsfxCc2l+yhd9AHxY04nNClD6zjBo8kDa5rgzsBqGCnFfpBpyNtIS3kBqadco3UUn2CJTcESl4ojd7UU+8JrFAUqd6sF/u7VUL0PDGZI7QujrlQ76IcE36EYQcVdXU3d88/S+NWXmLplqUv2e/bSOpbwYYrHQ3PJnv8dh5e3AU9zI3pLKOEZvUkaf7561n1Shpx1L/yWzmAkcfy57HvvERr2bsWa1l3rSJpSPB7yP3kSc1Q8CcecrXWc4LKyEVoVGBWudZI2JcV+kKlcNRdzbDLhmX21juIz7FnZ1Gz4AUVRZDZEtBmPG0q2/q+Dfn05mK3QcSAMOgNS+4EpROuUwtsUt5vG2Z+rS/aBiBtvJmzySbJkX/yFoig0lxdQv0Mt7ut2/YK7oRad0YQ1vSfxo0/H1rkfYR26ojPI7ZsIHFH9RlO26AOK579B58se0TqOpipXz6Nh9yYyL5+J3mTWOk5wWVIPyUbIDKyvu7xaBBFXo4OaDT+QOP58KWp/x949h/IfPqe5ZI8slxJHxNUCBRv+10G/pQ7Con/XQb8n6OW3btBo3byJ2v8+inNbLmETT8R2xVUYogLnOB/RNtwtTRR9+RL1G5eR21ADej3WjlnEDj1BPes+rYfc9IuAptMbSJxwPnvevI+6neuxde6ndSRNOB2VFH31CtE5E7B1lkm5dre0QZ3VD7AaSW47D0JrTTnY7VrHOGLV6xaBohA9aKzWUXyKtVNv9CYLjq2rpdgXh6ylHvatUwv8/PXgaobIFOh+LKQPhrhM6aAfbNw1NdQ9P4vGL2dj7NKV2Bdfwdy7j9axhA9ytzSR9+pdNBXuwJQ1nNRBo7Fm9MIQEjidoIU4GBG9hhOa2pXieW8QftUTQTkpVfDFc+iNJpInXqx1lOBT7IRtLXBtrNZJ2pwU+wdh2+NXoDv7BmJyxmsd5bApikLlyrnYew7FZJOZpd/TG82Ed+mPI3c1CUefoXUc4QcaKtUO+ntWQdFmUNwQ1wX6nwIZORCZqnVCoQXF7abxy9k4nn8OUIi44SbCppwsS/bF33K3NLH7tf+jqXAHnS5+kDIlFHsn6UYugpNOpyPpuAvIe/l2HFtXEdFjiNaR2lXt5hXUbviBtHNuxxjm/xOMfmdpA+iAEVatk7Q5KfYPQtSAY8j/+HH0RhNRA47WOs5hady7hebSvaRMvlzrKD7JnpVDwRfP4m5qwBAaeP/Q24PHDXnLIX9nBPWbtE7jHc5m2LEiGcc+0BnUZfnDpkFaDoTL0dVBrXXLFmr/+wjO3K2EHj8R+5VXYYiO1jqW8FG/FvqNBdvpdPGDhGf0pCwvT+tYQmjK1nUg1k69KZ7/BvasnKA5cs7d3EDBZ89gz8ohsu8oreMEpx/qoU8IRAdeaRx4z8gLUiZdRq3ZwN4PHkVnMBLZd6TWkQ5Zxcq5mKMTCe/cX+soPsmelQ0eD3Xb1/nl91drJbmw7GWo3AMGSxR7AvT1WW8Ae7qb0VdD2iCwBFbDVnEYPLU1OF54nsY5X2Ds3JmYF17G0kf2WooD87Q2q4V+/jY6XaIW+kKIX2f3p7Fz1n+o2fADUf2Co/AtnvcG7qZ6Uk++Oii3L2jOo6gz+2cH5spnKfYPgk6vp8Pp16O4nex59yEyjCYieg7VOtZBczXVU/PLUhKPPTtoRkkPlTk6gZCENBy5a6TYPwRNtbDqbdj+vbo3fcojUK/fQ6cAXoqal1ca0M9PHBzF46Hxyzk4nn8W3G7s1/0H60mnoDPKy6o4ME9rM3mv3vW7Ql+OXxTi98IzemHLyqbkmzeJ7H1UwG+Dati7lYrlc0g+8TLM0QlaxwlOW5qh0g2jAnNlr1R+B0mnN9DxzJuJ6DmUPW89gCN3jdaRDlr1T9+huJ1EZ4/TOopPs3fPwZG7BsXj0TqKz/O4YfM8+PBqtev8iMtg8kMQ31nrZEJ4X+vWLVRcehG1jzxIyPCjiP/wE8JPO0MKffGP/lDoXzxDCn0hDiBpwgW0lBdQte5braN4lcflJP/jJwhN6ULcUZO1jhO8ljRAmA4GBmZjVCn2D4HOYCBt6m3Yug1k9xv3ULfjZ60j/atfG/NF9BiCyS6biv+JLSsHV10VTUW7tI7i00q3wee3wLJXoNNQOOMZ6D5OXeIuRCDzOGqpmfkwFRdPQ2lpIea5F4m66x4M0fK7VfwzT2szeb8u3b94BuGdemsdSQifFZbahYg+IyhZ+A4eV6vWcbymfMknNJfto+Pp16OTmyjtLKmHoVYwB+YWCin2D5HeaCL9vDsJz+xL3mv/R/2uDVpH+keN+dtoLs4jZvDxWkfxeeEZPdFbwnDkrtY6ik9qqoUls2D27epRclMegpFXQIg0jRUBTvF4aPhyNmVnnErTgm+wX3M9ca+/haWf9EAR/87T2kze63fTuC+XThc9IIW+EAchafz5OGvKqVw5T+soXtFcXkDJwneIH3UaocmZWscJXk0eWNMUsEv4QYr9w6I3msm44G6sad3Je+0uGvZs0TrSAVWunIspMh5bt4FaR/F5OoMRW9cB1PnRFo324HHDlvnw0TXqWfJHXaoW+vFdtU4mhPe1bsul4rKLqX1oBpYhw4h//2PCzzhTluyLg/Jbob9ni1roZ/bROpIQfiEkoSNRA46mdNH7eFqbtY7TphRFoeCTpzBFxJI4dqrWcYLbykZoVWBU4HZclmL/MOlNFjKm3Utocia7XrmdxvztWkf6C3dzAzXrFxOTM0GWBx0ke1Y2DXtzcTU4tI7iE8p2wBe3wY8vQ/pgOP1p6DFeluyLwOdxOKj576NUXHg+SlMTMbNeIOruezHExmodTfgJj7Plf4X+xTOk0BfiECWOOxd3o4PyZXO0jtKmqtZ8Q/2uX+hwyjXozSFaxwluS+oh2QiZZq2TeI0U+0fAYAml00UPEJKQxq6XbvO5vd7VP3+Px9lKdM54raP4DXtWDijqEXzBrNkBS59XC33FA5MfhFFXQmiE1smE8C7F46Hxqy8pO/M0mubPw371tcS98TaW/gO0jib8iMfZou7Rl0JfiMNmiUkiOmcCZd99iLupQes4bcJZV03Rly8TNfBYbF1l1a3mljbAyHAI4CMPpdg/QoaQMDpdPANzTCI7X7yVppI9Wkf6TeWqedizsjFHxmkdxW+YImIITc7EsTU49+173LB1gdplP28FDL8ITnoEErppnUwI73Nu307F5ZdQ8+D9WHJyiH//I8LPPFuW7ItD4nG2sHv/jH6GLN0X4ogkHjsVj7OFsqWfah2lTRTOeQH0elImXaZ1FFHshG0tMDJw9+uDFPttwhgaTualD2Gyx7DrxVtoLi/QOhKNBTtoKthBzBBpzHeo7N1zcGxbi+Jxax2lXZXtVJvv/fAipGWrXfZ7HidL9kXg89TVUfv4TMovPA+loZ6YZ58n6p77McTJQKk4NL8W+vW7N5Nx0QPYOvfVOpIQfs0UEUPs8EmUL/0UV32N1nGOiGPramp+/p6USZdhtMpSSc390AA6YIQU++IgGMPsdL7sYYxhdna9cDMtFUWa5qlcNQ+TPUZdli4OiS0rG3dDrU/2YfCG5jq1wP/iVvC4YNIMGH2VLNkXgU9RFBrnfkXZmafROPdr7FdeTdyb72IZIEsrxaFTC/17qN+9mU5S6AvRZhKOPgPQUfr9R1pHOWzulibyP3sGW9cBRA04Rus4AmBpPfQJgejAXr0nxX4bMoZHknnZw+hNFna+cDOtVaWa5HC3NFH903dE54xHZ5Bp2UNl7dgdQ2g4jgDvyq94IPdbdcn+zh9h2IVw0qOQmKV1MiG8z7ljO5VXXkrNA/dhGThIXbJ/9lRZsi8Oi8fZyu437qV+9yY6XXS/FPpCtCGjNYK4kSdTsWwOrbUVWsc5LCXfvImrvobUU65FF8D7w/2GR/nffv0AJ8V+GzPZY8i8/FF0BgM7X7xZk19KNb8swdPaRHTOhHa/diDQGQzYug0M6CP4ynfBF7erTfg6DlSX7Pc6Xpbsi8Dnqa+n9onHKJ92Hp5aBzFPzyLqvgcwxMVrHU34KbXQv4f6vI10uvA+bJ37aR1JiIATP+oU9GYLpd++p3WUQ9aYv53yH74gady5WGKStI4jALY0Q6U74PfrgxT7XmGOjKPzZY+iuN3seuFmnI6qdr1+5cq52LoOxBKd2K7XDST2rBwa87fhrKvWOkqbaq6DH1+Cz28BdwuceD+MuRrCIrVOJoR3KYqC/sellJ15Ko1fzcF+xXTi3nwHy6BsraMJP/aXQr9Lf60jCRGQDCFW4secQeWqebRUFmsd56Apbhf5Hz9BaFIGcSNP0TqO+NWSBgjTwcBQrZN4nRT7XmKOTqDz5Y/iaWli14u3tFtTkaaiPBr35UpjviNk6zYIgLptazVO0jYUD+Qugo+ugR0/wNAL4OT/QlIPrZMJ4X2uvXupvPpKzC88h7n/AHXJ/tRz0ZlMWkcTfuy3Qn/XBin0hWgHccMnYbRGULLgba2jHLTypZ/RVLybDqdfL1trfcnSBhhqBUvgl8KB/ww1ZIlNJvPyR3E1Otj50q24Gh1ev2blqnkYbVFE9Bji9WsFMpMtirAO3XDk+v8RfBV5MPsOWPocpPaDM56G3hNlyb4IfEprK3WvvULZeWfjLimh9Zbbib7/QQzxCVpHE37uD4X+RfdLoS9EO9CbQ0g49myqf1pEc8lereP8q5bKYooXvE3ciJMIS+2qdRzxqyYPrG6EUYG/hB+k2Pe6kPgOZF76MM6aCna9dDvupgavXcvT2kz1T4uIzh6HziBNpo6ULSubum3rUNz+eQRfSz38+LK6ZN/ZDCfeB0dfC2FRWicTwvtafllP+QXnUvf6q4SfeTZx77yPp7ecdy6OnMfZyu4375UZfSE0EDP4OEyR8RR/86bWUf6RoigUfPoUxvBIEsefp3Uc8XsrG6FVgVGB35wPpNhvF6FJGWRe9gitlcXseuUO3M2NXrlOzYYfcDfVE5NznFceP9jYs7JxN9XTsG+r1lEOieKBbd+pXfZ3LIHB58EpMyGpp9bJhPA+j8NBzSMPUXnFpeisVuLeeBv7FdPRh4RoHU0EAI+zlT1v3kf9zl/UQr/rAK0jCRFU9EYTiePOpXbjjzQW+O4RydU/LaJu+090OPlqDJbA3xfuV5bUQ5IRMs1aJ2kXUuy3k7CUTDIveZDm0j3kvXYX7pamNr9G5cq5hHfpjyU2uc0fOxiFdeiKwRrhV135K3bDnDthySxI7QunPw19TgS9LPQQAU5RFJq+XUjZ2afTtHABETfcTOwLL2PK7Kx1NBEgPC610K/buZ5OF94rhb4QGokecAyWuFSK572hdZS/5WqopXD2C0T2H4O9e47WccSfLW1QZ/WD5AhEKfbbUVjHbmRePIOmgh3sfuMePM6WNnvs5pK9NOzZTMxgaczXVnR6A/Zug3Bs9f19+y0NsOxV+PxmaG2AiffC0deBNVrrZEJ4n6u4iKobr6f6/+7A3Kcv8e9/iPWUU6UZkmgzHlcre95QC/2Mafdg6zpQ60hCBC2dwUDi+POp27aW+t2btI7zF4VzXgRFIWXS5VpHEX9W4oRtLUFx5N6vpNhvZ9b0nnS66AEa9mxh95v34XG1tsnjVq6ai8EaQUSvoW3yeEJl755DU9EuWmsrtI7ytxQFti+Gj66G7d/B4HPhlMcguZfWyYTwPsXlov69dymfeibOnTuJengm0Q8+giEuXutoIoCoM/r3U7fzZzKm3YN9/2ktQgjtRPYZQWhyJsVzX0NRFK3j/KZu+zqq131L8omXYrJJkySfs7QBdMAIKfaFF4Vn9qHTtHup37mePW/PQHG7jujxPM5WqtZ9S/SgseiNwbH/pL3Yug4End4nl/JX7oEv74LFz6jF/elPQ59JsmRfBIfW3K1UXDwNx6ynCTtxMvHvfUjoyFFaxxIB5rdCf8dPZEy7Vwp9IXyETq8nccIFNOzeRN32dVrHAdRG2fmfPk14Zl+is8dpHUf8naX10CcEooPnZlmKfY3Yug4g4/y7qctdw953Hz6iju+1G3/E3VhHzGBpzNfWjFY71rQsHD5U7Lc2wPLX4LOboLkOTrgHjvkPWGO0TiaE93kaG6l96nEqLp6GoniIffk1Iq6/Ab01eEbpRfuQQl8I32bvnkNYWg+K573uE7P7JQvewVlbQYdTr0MXJPvB/YpHUWf2g2hWH6TY15S9ew7p595JzaZl7PtwJorn8Ar+ylXzsHbqQ0h8hzZOKGD/EXzbf8LjcmqaQ1HU7vofXgO5iyBnKpzyX0jprWksIdpN87IfKJ96Jo1ffI79iunEvfom5h5yzIRoex5XK3veekAt9C+QpftC+CKdTkfScdNoKthB7aZlmmZpLNxF2dJPSBx7Dpa4FE2ziAPY0gyV7qA5cu9XUuxrLKLXMNKn3kb1z4vJ/+RJFI/nkD6/ubyA+l2/EDNEZvW9xZ6Vg6elkYY9WzTLULVXXbL//dOQ1ENdst93ChhMmkUSot24KyqouvM2qm66AWN6OnHvfkD41HPRGYNnGZ5oPx6XUy30t69TC/2sbK0jCSEOwNa5L+Fd+lMy/83DnjQ7UorHTf7HTxAS35H40adpkkEchKUNEKaDgcF1FKLcKfmAyL4j6eh2su/9R9EZTKSefPVBL/+pWjUPQ6iNyN4jvJwyeIUmZ2K0RVOXuxpb577teu3WRlj3IWyaC/ZEOP7/1CP1hAgGisdD4+zPcTw/C53RROQ99xM6dpwsjxReoxb691O3bZ3ajE8KfSF8XtJx09jx9DVU//w90QOPbffrl/84m6bCHXS56kl0BimtfNaSBhhqBUtwzXXLT6SPiB5wDIrLSf5Hj6MzmkiZdPm/3tB6XE6q1iwgatCx6E3SmM9bdHo99qxsHFtXkzzxkna5pqLArh9hxRvgbILss6H3RJnJF8HDmbeLmkcewrlxA2EnTsI+/Wr09gitY4kA5nE52fP2A2qhf8HdUugL4SesHbOw9xxKyYK3ieo3ul0L7taqUkrmv0Hs8ElY07q323XFIWrywOpGuDP4TuuRYt+HxORMQHE5KfjsGfQGE0knXPSPBb9j8wpcDbXSmK8d2LOyqVrzDa1VpZijE7x6rap9sOwVKN4MGUNh6AUQHuvVSwrhM5SWFureeI36d9/GmJxCzKwXsPQfoHUsEeB+K/Rz16qFfvccrSMJIQ5B0oQL2Pb45VSunk/s0Intck1FUcj/7GkMoeEkTZjWLtcUh2llI7QqMDK49uuDFPs+J3bYiShuF4Wzn0dnMpM0/rwDfmzFyq+xpvcgNDG9/QIGKVvXgaDX48hdQ+ww77yItDbBTx/Bxq/BngDH3wWp/bxyKSF8UsvaNdQ8+jDu0hLCz7sA23kXoDPLqiXhXVLoC+H/QpMyiOo3mtJv31OPojZZvH7NmvWLqctdQ8a0ezGEhHn9euIILKmHJCN0Dr57iuDatOAn4kacRNIJF1O68B1KF73/tx/TUlFE/Y6fiRl8fDunC06GUCvW9F44cle3+WMrCuz8ET66BjbPh0FnwqmPS6Evgoe7pobqB+6l8prpGGJiiHvzHewXXyqFvvA6j8vJ3ndmUJe7lvTz/08KfSH8WOL483DWVVGx/EuvX8vV6KBw9vNE9BlBRM+hXr+eOEI/NKhd+IOw54/M7PuohDGnozhbKZ73OjqjifhRp/7h7ytXz0cfYiWy70iNEgYfe1Y2pQvfweNqRW9smyKkOl9dsl+0CdIHw7BpEB7XJg8thM9TFIWm+fNwPPMkittNxK23EzZxEjq9jEML71PcLva+8yCOrWtIP/8uInoM1jqSEOIIWGJTiM4eT+l3HxIz+HivzrYXffUyHpeT1ClXeu0aoo2UOCG3Ba4Jzj2xckflwxLGTiXhmLMo+vIlyn+c/dv7FbebqjXfED3gGPTmEA0TBhd79xw8zhYa8jYe8WM5m2DlW/DJDVBfAcfdCeNulkJfBA9XQQGV111Nzf33YBmUQ/x7H2KdNEUKfdEuFLeLPW/PwLF11f5Cf4jWkYQQbSBx7FQ8zY2U//i5165Rt3M9Vau/IXnixZjsMV67jmgjSxtAB4ywap1EEzKz78N0Oh2JEy7A42yl8ItZ6I0mYoYcj2vvBlx11cQMkcZ87SkkMR1TRCyOravVPfyHQVGg9BcrKx6C5noYeDr0nSxd9kXwUFwu6t97h7rXXsUQHU30Y08SMnSY1rFEEPljof9/UugLEUDMkfHEDJtI2eKPiR12IsYwe5s+vsfZQsEnT2HN6EVMjtyH+4Wl9dA7BKKDs+wNzmftR3Q6HcknXoridpH/6VPoDEZat/xIWIduhCZnah0vqOh0Ouzdc3DkriFl8hWH9LmNNbB7BexYAmU7EkjPgaHTwBZ8J4CIINa6aSM1jzyEa89urGeche2iS9CHhmodSwQRxe1izzsPqoX+eTKjL0QgSjj6TKpWzqVs8cckH39Rmz526bfv0VpdRsa0e2Ulmj/wKOrM/lmRWifRjBT7fkCn05Ey+QoUVyv7PnocFIWY067TOlZQsmflULlyLi0VhVhiU/7xY1vqYfdK2LVM3ZOPDlL7QL+Lisk5Pql9AgvhAzz19TheeI7Gzz/F1C2LuFffxNS1q9axRJD5rdDfslIt9KWplhAByWSLIm7kyZQv/Yy4o07CZI9uk8dtKt5N6fcfkXjs2YQkdGyTxxRetqUFKt1qc74gJcW+n9Dp9aSeci2K20315pVE9hutdaSgFN6lPzqDEUfuGuKO+mux39oEe9fArh+h4BfwuCG5Fxx1KWQMgRAb5OU1aZBciPanKArNSxZT+/h/URrqsV9zPdZTT0NnMGgdTQQZKfSFCC5xo06lfNkcSr97n9Qp04/48RSPm/yPn8ASm0L80We0QULRLpbWQ5gOBgbvKkIp9v2ITq+n45k34ty+DYMleH9otWSwhGLt1BvH1tXEHTUFAFcL7PtJncHftw7crZDQDYacD52GQliUtpmF0IK7tJTax2bS/ONSLEeNIOI/N2FMTNQ6lghCitvFnncfUgv9c++UQl+IIGAMsxE/+jRKF75L/MhTMUcnHNHjVSz/isZ9uXSe/nibncgk2sGSBhhqBUvwbrmQYt8P6YzSzU1L9qxsCue+w56VreStMrN3NTibIbYTDDoDOg2TvfgieCluNw2ffkLdS8+jCwsjasbDhIwegy4Iz7YV2lPcLva++zC1m5aTcd5dRPSSZpBCBIu4ESdR8cPnlHz7Dh1Pv+GwH6e1poziea8RM3Qi4Rm92jCh8KomD6xuhDuC+6Zcin0hDpLHDcWbYdu6CezOG4d7ppnIVOg7BToNh8hkrRMKoS3nju3UPPwgztythE05GfsV09GHB+8+OaGtXwv9mk3LpNAXIggZLKHEH3MWRV+9RPyYMwiJSz3kx1AUhYLPZ6G3hJJ0/IVeSCm8ZmUjtCpBvV8fpNgX4h8pHijdru7Bz1sBTTVgS7CSFP8l6QMa6H7hWciEpQh2nuZm6l59iYYP3seYlk7sCy9j7t1H61giiClu92+Ffvp5d0qhL0SQih06kfIln1DyzVukn3P7IX9+7cYfcWxeQfp5d2EMDe6i0e8srYckI3QO7m0XUuwL8SeKAhV5aoG/azk0VIA1GjqPgMyjIC5TR+Hn+3BsXQWcCUi1L4JX88oV1P73EdwVFdguuYzws6aiM8lWI6Edxe1m73v7C/1z7yCy13CtIwkhNKI3mUkcew75nzxJ09FnHNKx1a6megq+mIW951Aieh/lxZTCK5Y2qLP6QT4rJ8W+EPtV7VOb7O36ERwlEGJXG+xlHgWJWaD7XW8Pe/ccKpbPoaU8n5B4OX5FBB93VRWOp5+gacE3mAdlE/PkMxhTO2gdSwQ5xe1m7/sPU7PxR7XQlxt0IYJedPY4Sr//iOL5b9LpwvsO+vOKv34VT0szqSddJX1n/E2JE3Jb4JpYrZNoTop9EdRqi/cX+Mugeh+YwyB9CBx1CST3Bv0BTggLz+yDzmjGsXW1FPsiqCiKQuNXc3A8+ww6vY7Iu+4mdMLxciMkNPdbob9BCn0hxP/oDEaSxp/H3vcepmHvVqxp3f/1c+p3b6Jy5deknHQV5si4dkgp2tTSBnXh7Qir1kk0J8W+CDr1FZC3XJ3BL98FxhBIz4bss6FDPzAcxApkvTmE8Mw+OHLXED/qVK9nFsIXOPfsofbRh2hd/zOhxx2P/errMERGah1LiP2F/iPUbPiB9HOk0BdC/FFkv9GUfvcBxfNep/Plj/7jx3pcreR//ARhad2JHXpCOyUUbWppPfQOgWgpdeUrIIJCYw3sXqHO4JdsVQv6DgOgz2RIGwRGy6E/pr17DkVfvoS7pQmDJbTNMwvhK5TWVurffpO6t97AkJBIzNPPYhmUo3UsIYD9hf4Hj1KzYala6PcZoXUkIYSP0en1JE44nz1v3Evdjp+xdel/wI8t++5DWiqK6Hb9c+gOtMRT+C6PAj80wJmRWifxCVLsi4DVUg+7V6oFftEmQAepfWD01epMvvkIV/bYs7Ip/OI56nf8LJ2eRcBqWf8ztY88hKsgn/Cp52KbdiE6S4jWsYQAflfo/7JECn0hxD+K6DmMsA7dKJ7/BuGd+/3t9rPm0n2ULvqAhDGnE5qUoUFKccS2tECFO+iP3PuVFPsioLQ2wd416hL9gl/A44bknuoe/IwhatO9tmKJTcESl4ojd7UU+yLgeBwOHLOeofHL2Zh69SbujXcwZR58F2MhvE1xu9n3a6E/9XYp9IUQ/0in05F03AXseuk2HFtWEtFz6B/+XvF4yP/kScxR8SQcO1WjlOKILa2HMB0MlFW3IMW+CACuFtj3kzqDv28duFshoRsMOQ86DYOwKO9d256VTc2GH1AURRqUiYCgKArN3y6k9qnHUVpaiLjpFsImn4ROr//3TxainSgetdCv/rXQ7ztS60hCCD8Q3mUA1k59KJ7/Jvbug//w2la5ai4NuzeReflM9KbgPpvdry1pgCFWsMh9C0ixL/yU2wmFG2Dnj7B3NTibISYDBp4BmcPAFt8+Oezdcyj/4XOaS/bIci/h93TlZVTNepqWFcsJGXM0EdfdgCFOuhAL36J43Ox7Xy30086+TQp9IcRBU2f3p7Fz1vXU/LKEqP5jAHDWVlL09StE50zA1rmvxinFYWvywOpGuKOdCgE/IMW+8BseNxRvVmfwd69U9+RHpqhN9jKHq2+3N2un3uhNFhy5a6TYF37JXVVFy6qVtKxcjnnpElyRkUQ/+hghR8mSaOF71Bn9mb8V+lH9RmkdSQjhZ8IzemLPyqFkwdtE9lEHCwu+mIXeaCZ54sUapxNHZFUjtCqyX/93pNgXPk3xQOl2dQ9+3gpoqgFbAnQfpxb40Wmg5ep5vdFMeJf+OLauJmHM6doFEeIgKW43zq1baF65gpYVy3HmbgVFwdC9Gy3jx5B09S3orXIurb9x1lbiKsilXteE3mhCZzShN5rR/c3b/rrlSPF42PfBf6lev5i0s2+VQl8IcdgSj7uA7U9cSdW6hTjrGmna+CNpU2/DGNaGzZ1E+1tSD0lG6CzbMH4lxb7wOYoC5bvUAn/XcmiogLBo6HwUZB4FcZ21LfD/zJ6VQ8EXz+JuasAQKkWS8D3u6urfZu9bVq3EU1sLNjuG7N64B06gqbWKxsIdUFHKng8eJmXKlVhikrSOLQ6Cx9VK2eJPKF30PoqzhZ0H8Tk6w68DAPuLf6P5AG+b0JvM6Az7P/ZPb+v3P86B3tab9g8wGA789sEOPCgeN83fvYlzxxrSpt5KVL/RR/R1E0IEt7CUzkT2GUnJgrdxOZ3Ys3KIlN8r/m9pgzqr70uFgsak2Bc+w+2ELd/A+i870FShds7vNFSdwU/sDjof7bNhz8oGj4e67etk76jwCYrHgzN3K83Ll9GycgXOrVvU2fusrniOHUxLmIeGsl246jajLwzF1mUAHYYcR0WNg6a1X5E782ISjj6T+DGnozdZtH464gAcuWso+GIWrVWlxI88hYbknnRIScHjakVxOVFczr992+NyojhbUdxOPM7973Pvf9+f3na1OlCcrern7H//r2//+rmK26mO0h6G3wYVDPsHE373tv7XAQGTGXdjHc78baRNvS3wCn2nAjPLMA/wQCetwwgRPBInnEfuzEvBYCL15Kv9dtWT2K/ECbktcE2s1kl8ihT7QnOKonbRX/kmOEogoV8zY64wkdwb9Aat0/07c3QCIQlpOHLXSLEvNOOuqaFl9Upali+nZfVKPDU1YLOhH9Qbz4AJNLZW0Vi0A4rLCElII3rgsdiysrGm90RvNAFQm5dH5zGTKfvuA0oXvU/Vum9JmXwlET0Ga/vkxB+0VpdROOcFajf+SHhmXzpNu4+QhI7k5eURktCx3fMoioLidv1W+P82CPDnAYZ/eNuz/+N///bvByp01ghCx18aeIU+wLvVMKuS5FDglXoYLXtNhWgPIfEdSZl8OVXNbszRCVrHEUdqaQPogBGyyvb3pNgXmqrOhxWvQ8EvkNwbjr0Baj3lpHayaR3tkNi751C1bhGKxyNHlIl2oc7e59KycjnNK5bj3LJZnb3v1gXP0dm0WNk/e78FfWEo4Z37kTrkauzdsjFHHbhLrcESStJx04gaNJbCz59l92t3Ye85lJRJl8vSfo15XK2UL/mUkm/fwxgaTto5txPZd5Tms1E6nQ6d0QT7B428JS8vz6uPrwmHGx4rhyl2mkvqCTt/H8xMhtMjtU4mRFCIO2oKdYH4uyUY/dAAvUMgWsrb35OvhtBEcx2s+1Bdtm+Lh3G3QFq2usWm1g9/59qycihb/DFNxXmEpXTWOo4IUJ7aGppXrVL33q9ciaemGsLD1dn7syfQ5KqmoXA7lJQTkpBG1ICjsWdlY83o9dvs/cEKiUul0yUPUbvxRwpnP0/uzEt+t7RfGt+0N8e2tRR+PouWqhLiRpxE4thzMISEaR1LHKlZFdDogTsTKKlrodPLoXB9kboc9epY2XcqhBAHw6PA0no4M1LrJD5Hin3RrjwutcBf9xF4PJBzDvQ6HgzenRDyuvCMnugtYTi2rpZiX7QZxePBuS2XlpUr/jd77/Gg75qJ5+hBtFihsTwPp2Mr+sIQwrv0JzX7KuxZ2W2yJFGn0xHZZwS2boMoXfQepYveo2rdt6ROuRJ795w2eIbi37TWlFE4+39L9tMvuJvQxHStY4m2UOiEV6rg8hhIMkGTDh5NUt9+pByKXDAjEQxS8AshxD/a0gIVbjly729IsS/azb6fYOUbUFMEWcdA9tkQGqF1qrahMxixdR1AXe5qEo89W+s4wo95HLW0rFpF86+z99VVYLWiH9gHz9njaXLW7J+9X4MlvgOR/Uars/edeqE3emfG3WAJJfn4i4geNJaCz2eR9+qdRPQaRvKky7FEJ3rlmsHO43JSvvRTShe+iz7UStrU24jsN1rzJfuiDT1SBjY9XBHzv/fpdPCfOPXoqFuKodQJz6VCqGwPE0KIA1paD6E6GBiqdRKfI8W+8LqaAljxBuT/DEk94ejrITZD61Rtz56VTf4nT+FqcGC0yjmt4uAoHg/OHdtpWb6M5pUrcG7epM7ed+mEMnogrTYdDeV5OGu3os+3qHvvp1yJLSu73QvtkPiOZF76MLUbfqBwzgvq0v5jziJ+9KleG2gIRnXbf6Lg82dpqSwi7qiTSBx3DoYQaTgUUDY2wae18HAShP9NJ9qzoiDeCJcVwOl74c0Osg9VCCEOZEkDDLWCRQZG/0xeOYTXNNfBTx/B5m8gPAbG3gTpgwN3C6I9KwcU9Qi+qP5jtI4jfJjH4aBlzSqaV6ygZeVyPFVVEGZV996fNZ4mdw0NBduhdA0WTyqRfUZg756DNaO35vvldTodkX1HYsvKpnThu5QseJuqtQtInTJdPYZSHLbWmnKKvnyJml+WYO3Um/Tz7iI0KQBHRoOdosC9pdDFDGdFHvjjjrHBJ+lw3j6YtAfe7QhpMqgmhBC/p2tWYE0j3H7g5sPBTIp90eY8bti6ANZ+oO7Rzz4Lep0AgT7xZ4qIITQ5E8fW1VLsiz9QFAXX9u37l+Yvp3XTJnC70Wd2Qhk5gFa7noby3Thrc9EVWLB17kfK5CuwZ2X7bAd8gyWU5IkXE509joLPniHvlTuI6H0UKZMu/8du/+KvPC4nFT98TsnCd9BbQul41s1EDThGluwHqm/rYUWjOltv/Jfvcb9QmJMBU/fBpN3wdkfoI8tUhRDiVyG/eKBFkf36ByDFvmhTBevVo/SqC6HbGHVffliU1qnaj717DhUr58oRfAJPXd3/Zu9XrcBTUQFhYRgG9sZzxjiaPLU0Fm5HKVuLRUklos9R2LOyCe/UR/PZ+0MRktCRzMsfpeaXJRTNeZGtj15E4rFnEzfqFFnafxDqdvxMweezaCkvIPaoySSNOw9DqCzZD1guBWaUwvAwOOYgb0zTzTAnHc7fB6fsgZc6wBi5qRVCCIDQNR61z0lnuef4O1LsizZRU6Q239u3DhK7w8mPQmwnrVO1P1tWDqWL3qexYDvWjllaxxHtSFEUXDt30LxiOS0rltO6aaM6e98pA89R/dTZ+4rdOGu2oSswE965L8knXqbO3scmax3/iOh0OqL6jcaelUPJwnco/uYtqtYuJGXKldi7DdI6nk9qra1Ql+yvX4w1oxfp5zxHaHIQ/tIMNu/XwM5WeDbl0Pa0xRjho3S4okAt+mcmwxmRXgophBD+I2yNB0ZGBO4+4SMkxb44Ii0N6r78TfPAGg3H3gAZQ4P335u1YxaG0HAcW1dLsR8EPPX1tKxZTcuKZTSvXImnohxCQ9XZ+zPH0eSupbFwB0rZWsyeZCJ6DcOelUN4Zh/0JovW8ducISSMlBMvJTp7HIWfzyLv5duJ6DOClEmXYY6Upf0AittF+Q9fULLwbfQmCx3PvImogcfKkv1gUO+G/5bBKRHQ6zCW4ofp4dUOcHsx/KcIip1wbWzwvuAKIUSpE3OeAjfKirgDkWJfHBaPG3K/Vfflu1ph0BnQ+8TA35f/b3QGA7ZuA6nLXUPS+PO0jiPamKIo6PbtpW7ZD+rs/cYN6ux9RjrK8L60RuhpqNiDs2Y7unwz4Zl9SJ54MfasHCxxKVrHbzehienq0v71iyn88kVyH7mIhLHnEDfyZPRGk9bxNFO38xcKP3+W5rJ8YoefSOL48zGGynLsoPFcJdR74OYjGPgy6uCRJEgywcxyKHLCg0n/vvdfCCEC0dIGFB3oRkixfyBS7ItDVrgBlr8O1fug62jInqrO6guVPSuHfR/MxFlXjckWRA0LApxr314q/3MdlqJC6kJC0P+6915x0FiwHaV8LWZPEhE9h6p77zP7oDeHaB1bMzqdjqj+Y7B3z6FkwTsUz3+dqjXfkHrSVdi6DtA6Xrty1lZS9NVLVP/8Pdb0HnS9bhZhKZlaxxLtqcgJL1bCxdGQcoQDXjodXB8HySa4qQjKXPBcqjrzL4QQwWRpA61ddVjkaNIDkq+MOGi1xbDyTdi7BhKy4KRHIK6z1ql8j23/HuW6bWuJHjRW4zSiLXgaGqi89SZawhXqTzkKmstprd6BrmAP4Zl9SZ54sXrufWyKLMf+E0OIlZRJl6ld+z9/ll0v3Upk31Ekn3gp5sg4reN5leJ2Ub5sNiXfvI3eaKLDGTcSPfBYad4ZjGaWgVUPV8W23WOeEQlxBrisAE7fq3b3j5HbOiFEkPAosLSexgl6Am9jZNuRVwXxr1ob4KdPYNNcCIuEY/4DnYbJNsEDMdmiCOvQDUfuain2/ZyiKDQW7qT46XtoiK9GMerQNZQQ02sYtv2z9waLHIN1MEKTMuh8xX+p/mkRRV+9TO6jF5E49hxiR5wUkEv763dtoODzZ2ku3Ufs0IkkTjgfY5hN61hCC5ub4eNaeCARbIa2feyjbfBJOpy3DybtgXc7qt37hRAikCkKPFIGFW4ah5qRdbQHJsW+OCCPG7YtgjXvg6sFBpwKfSaBUYbP/pUtK5uKH2ejuN3oDG18cye8zllXTfVPi6hau5Dm4t3oWz1EZg0lfso0ipoUUjNlCfbh0Ol0RA88logeQyle8BZFc1+jcs0CUk+ajq1Lf+9dOK8F5jiI3e6EKXUw0goh3plddzqqKPrqZap/WkRYWne6XvsMYaldvHIt4QcUBe4vhU5mmOql29G+oTAnA6bug8m74a2O6vuEECIQKQrcVwovVcHdCbT0qdU6kU+TYl/8raJNsOJ1qNwDXUZBzlSwxmidyn/Yu+dQuvAdGvblEp7RU+s44iB4nK04tqykau1CHNvWoNMZCE/qiiW3keiJZxFx+XQAdHl5Gif1f4ZQK6mTryAme7y6tP/FW4jsN1pd2h/RRsucC53wZS3MdsCGZgjTERoFzM6HMJ16Tvlxdjg6HCKOfEBOcbupWD6H4m/eRGcw0eH0/xA9aJws2Q92ixvghwZ4vQOYvLgcLs0Ms9Ph/Hw4dQ+8mKrO+gshRCDxKPB/JfB6NcxIhAuiIU+K/X8ixb74A0cJrHwL9qyC+K4w5SH1v+LQhKV2xWCNoC53tRT7PkxRFBrzt1G1ZgE165fgbqojrGMWqVOmE57Qleorp2PuORD7JZdrHTUghSZ3ovOVj1G97tvfLe0/l7gRU9AZDuPlqcwFXztgdi2saQKLDo4Jhytj4dhw8ov30MmdAvMcML8OrioEEzDMChNsMM4GiYe+paB+9yYKPnuG5pI9xAw5gaTjLsAYZj/0/CKwuPbP6g8Jg7HtcOpCjBE+ToMrC+CCfHg0Cc6Uxa1CiADhUeDWYnivBmYmwdny++1gSLEvAGhthJ8/hY1fQWgEHH0dZB4l+/IPl06vx95tEI6tq0k6bprWccSftNZWUL3uW6rWLqSlLB9TRCwxQ48netBYQuI74mlupuKyi9DbbETdc79sxfAinU5H9KCx2HsOpeSbNyn6+hWq1nxDyklXYevc998foNqtFu+zHbC8AfTAyHB4KhnG2/66R7qLBbrEwTVx6uz/gjr18+8sgdtKYEAoHGdTPzfzn/csOeuq1SX7674lrEM3ul7zDGEdZHRU7PdRDWxrga8z2u/FNFQPL3eAO0rghmIodsF1sfJiLoTwb24FbiyCT2rh8WQ4PVLrRH5Div0g53HD9u/VffmtjdDvZOg7GUzBe2JYm7F3z6H6p0W01la03dJkcdg8rc3UblpO1dqF1O34GZ3BSGTv4aRMvgJbl/7o9GpRqCgKtQ/PwJ2fT+xLr6K3ywxtezCGhpM6ZTrR2RMo/PwZdr1wE1H9x5B84qWY7H/aQ1Tvhm/q1AJ/ST14gKFh8HCSWqgf7BE8KSaYFq3+qXbDt3XqjP9j5TCjDLpa1Bn/CTboE/JbwaS43VSs+JLi+W+g0xvpcNr1RGePlyX74n8aPDCzHE6yQ7923j9v1MHDiZBshEfLodgJDyap7xdCCH/jUuC6QpjjgGdSYEqE1on8ihT7Qax4Myx/HSp3Q+cRkHMOhEtN2mZsXQeCTk9d7hpiBh+ndZygpCgKDXs2U7V2ITW/LMHT3Ig1oxcdTr2WyD4jMYRa//I5DR99QNOCb4i69wFMnaWxWnsLS8mk85WPU7XuW4q/epmtj1xE4vhziRt4Irrvm9Ul+t/VQ7MC2aFwTyKcYIf4I3w5izLAaZHqnyaPOogwrw7eqoKnK9TCaYKdpr6V7N3zLM2lecQMPp6k46ZhtMqAkPiTFyqg1g23xGtzfZ0Oro1Tt6XcVASlLng+FcJkQEoI4Uecirrlbr5D/R12grzeHiop9oNQXZm6L3/3CojrDJMfhIRuWqcKPEarHWtaFg4p9ttda1UpVesWUrXuW1orijBFJRB31ElEDzoWS2zKAT+v5ad1OJ59GutZUwkdO64dE4vf0+n1xGSPI6LLEGqe/hr9bY14CrdgcJqhdwjcGAeTItSZeW8I1cMEu/rHqcCqRtxzylE+LST0tVC6hFyCcnQoxvAU0LfDXmzhX0qd8HwlXBQNHTQ+Bu+MSEgwwiX5cPoeeKMjxMqtnxDCD7R44IpC+L5e3Z40TpqOHg75jR9EnE3w82ew8Uuw2GD01dBlJOhkoN9rbFk5lH3/EYrbdXgNx8RBc7c0UbvhB6rWLqR+1y/ozSFE9BlBh1OvI7xTn39dYu0uLaX6ztsx9+uP/Yrp7ZRa/IVLUffez3FgnOcgtqYvnnSoGrKGcvsCwkb3IXniJZjsXir0/0QxeKjQLaLE8gacoqNDt8uJyO+NbkEDXFQAIfs7+4+3wbE2dYWACG7/LVePdrzKR5bKjQ6HT9PhvP1H872TBhkaD0IIIcQ/afbAJQWwrAFeldNFjoRUH0FA8cD2xbD6XXVfft/J0HcKmOQYXq+zZ2VTMv8N6ndvPrhmY+KQKB4P9XkbqFq7kNoNP+BpbSY8sy8dz7yJiN5HYbAc3A+50tJC1e23oLNYiLpvBjqj/GpsVx4F1japS/S/ckCFG9JMcF40TLKjz7IQo2ShW5tA0devUrtlBUnjzyd22CSvNk9s2LOFgs+fpalwJzGDjyPp+AsxWvfvFbwN2NWi7vGfXwfXFYEBGLq/s/94GyS3z4CE8CFbm+GDGrgnoU2OdGwzfUJhTgZM3V/wv9Wx/XsJCCHEwWjywIX5sLoR3uigNt0Vh03uaANcyVZ1X37FLug0HAafAzaNthAGo9DkTIy2aOpyV0ux34ZaKgqpWvstVeu+xVldijkmmfgxpxM18Fgs0YmH9FiKolD7+Eycu3YS+8LLGKLkKJd2oSiwYf8e/DkOtWt4ohFOjoDJEdA35A8dxHU6HTE5E4joNYzieW9QOOcFKld/Q+rJVxGe0atNo7nqayia+ypVq78hNLULXa5+Cmta979+YKYFpltgeiyUONWmgfPr4J4Stbt/vxC16D/Orp4CIALfjFLoaIZzo7VO8lcdzTA7Hc7Ph1P3wAup6moUIYTwFQ0eOH8f/NIE73RUB9DFEZFiP0DVl8PKtyFvGcRmwqQHIPFv7lWFd+n0euxZ2Ti2riZ54iVax/Fr7qYGajYspWrtQhp2b0IfEkZk31FEDxqHNb0HusM8Wqpx9uc0fjmHyDv+D3OW/CPxutxmtYv+nFrY44QYA0y0w2Q7ZIeB/p+/j8YwOx1OuYaYnAkUfPYMO2f9h6iBx6pL+21HNlCjeNxUrpxL8bzXAR2pJ19DzJDjfjup4R8lmuD8aPVPrRsW1asNhZ6pgEfKIdP8v87+/UL/9XkKP7SkHr5vgJdTweyj399oI3yUBtML1ZmzR5LgLBngFEL4gDo3nLsPtrbAe2nqPYE4YlLsBxhnM/zyOfwyB8xhMGo6dB0t+/K1ZM/KpmrNN7RWlWKOTtA6jl9RPG7qdvxM9dqF1GxchuJ2YusygLSptxHRaxh605HNlrZu3EDt4/8l7ORTCTthYhulFn+R16LO3s9xqOeOR+jV2e6H7DDMelhHgoV16EqXq5+ias036tL+zStImnA+sUNPPKyl/Q17t1Lw2TM0Fe4kOmcCycdfiDE88pAfB1CXb58cof5p8sAPDeqs//s1MKtSXcEwzqYeEzjUCiYfLQzFwXMrcH+pekLEcT4+Wx6qVwck7iyBG4uhyAn/ifvDShohhGhXtW51m1FeC3yQBv1lm1FbaZNi3+VyUV5eTnl5Oc3NzcTExBAXF4ddzqduN4oHdixV9+W31EHvE6HfyWCWfyuas3UdCHo9jtw1xA6TgvJgNJfto2rtQqrXLcJZW4ElvgOJ484lauAxmCPapumVu7KCqjtuw9yjJxHXXt8mjyl+p9AJX9aqs/gbmiFMp3a3vy0eRoW3ycynTq8nZvBxRPQaTvG81ymc/TyVq+fT4eSrsab3PKjHcDXUUjT3NapWzSM0pTNdrnoSa3qPI872m1C9WtiPs6nNB9c0qkf6fVMHb1WrAx/H7J/xHxMuR6P5q09q1dmoL9P9o2g26ODBREgyqitPil3wcNJhDbwJIcQRqXLB2fsg3wkfpkFvKV7a0mEX+0uWLGH+/PksWbKEdevW4XK5/vIxSUlJjBw5klGjRnHqqacSExNzRGHF3yvdpu7LL98BGUNh8Llglwlkn2EItWJN74VjmxT7/8TVWEfN+sVUrVlAY/42DKE2ovqPJmrQWMI6dDvsZfp/R3E6qb7zNkAh6oGH0JmkkVqbKHepDfZm18KaJrDo4JhwuDIWjg1XC18vMFrtdDj1WmJyJpD/2TPsePZ6ogeNI+mEiw64tF/xuKlcNY/iea+jeDyknHQVsUNPOLgl+4cdVKfO5A+1wr0JsLn5f4X/Z7VqZ/+RVnVQZGy4uuRa+L4mDzxaBpPsMMCPlp3qdHBNnLoF5aYiKHXBi6ky4CSEaD+VLjhjL5S54OM06BGidaKAc0h3Eg6Hg1deeYWXXnqJHTt2AGpzqwMpKirigw8+4MMPP+S6667j5JNP5oorruCoo446stQCgPoKWP0O7PwBYjJg4n2QfHCTWaKd2bvnULrgbTyuVq2j+BTF7caxbS3VaxdSu3kFiuLG3i2b9HPvxN5zCHqjd46HcjzzJK2bNxM76wUMsT5yPJa/qnbDPIc6g7+8AfSonXOfSlab09naryN5WMdudL3mKSpXz6d47mvUbl5O4oQL/lLEN+7bRv5nz9BUsP1fBwW8RqeDXqHqn5viYXcrfONQG/zdUAQ6YHDY//b5p8pRaT7rxUr1hvVWP+1+e3okJBjVY65O3aN26o+VgSYhhJeV7S/0a9zwSTp0lUa23nBQv81dLhezZs3igQceoKqqCkVRsNls5OTkMHjwYPr3709sbCzR0dGEhoZSVVVFVVUVu3fvZtWqVaxatYpt27bx/vvv88EHHzBhwgRmzpxJjx5tuFQyiLhbdaz7CNZ/ri7TH3kFdB0D3pyQEkfGnpVN8dev0JC3EYzSDKmpeLe6TP+nRbjqqglJyiDp+GlE9T8ak927Xawb531NwycfE3HjzZh79/HqtQJWvVudjZ7tUJuSeYChYeoy4ONsms5I6/QGYoecQGTvoyie+xqFnz9L1er5pJ50FZ5mF/mfPEnlqnmEJGXQefoThGf4yAhphhkuj1X/lLlgwf4Z/wdK4e5S6P1rZ38bdLP4x1LxYFDmglkVMC0a0vx4QGZUOHyWBufmq0fzvZOm/kwKIYQ3FDvh9L3Q6IFP0tTTbYRXHNQdWY8ePdi1axdGo5FJkyZxzjnncOKJJ2I2//sLwRVXXAHAjh07eOedd3jvvfeYN28eCxYs4LXXXuPcc889smfQDhY9AVYfWlVSvK0DzgboPRH6n6I24hO+LSQxHVNELI6tq6H3eK3jaMJVX0P1z99TtXYhTYU7MVgjiBpwNNGDxhKanNmmy/QPpDV3KzWPPEzoCScSdtIpXr9eQGnyqB3mZ9fCd/XQrKjNyO5JhBPsEO9bM4FGawQdTrue6JwJFHz+LDuevQ7MITTq9aRMvuKwG/m1i3gjnBOl/qlzq1/veXXwfCX8txzSf9fZf6B09tfUY+Vq/4lr4rROcuR6hcKcdLVJ1qTd6gy/NMkSQrS1QiecvgecwKfp6mua8JqDujvbu3cvl156KbfffjsdOnQ4rAt16dKFe++9l3vvvZcPP/yQ+++/n927dx/WY7U3j1v94ytiujYy8gI79kM7TlxoSKfTYe+egyN3DZYgKvY9LieO3NVUrVmAY+vq/V+HwSSOPQdbVjZ6Y/vtlXdXV1N92y2YOnUi8sab22Vwwe+1KurM/RyHOsvc4FFnmG+Mg0kRkOL7vQ6sad3pes3TVK6eT9nOLXSZfHH7L9k/EjYDTI5Q/7R44Mf9nf0/qYEXKiHOsL+zvx2SD7ytTnjB9hZ4rxruSoAoHx04OlQdzPBFOlyQD6ftgedTYayPny6gNUVBX6uoA3NmnfpHXl+E+Ht7W9UZfT3qaiLZouZ1B1Xs79y587CL/L9zxhlncPrpp1NUVNRmj+lNY28EXzpYIC+vAnuiDwUSB8WelUPlyrmYasuBTlrH8RpFUWgs2KEu0//5e9wNtYSmdiFl0mVE9R+D0RrR/plcLqr/7w6UlhaiH3oUnUWWix2QS1H33s9xqHvxazzQxQxXxKgNyPxwqd2vS/sd8d39q9D/M8v+zv3H2OAhBdY1wfz9+/zfrSG5pw5me7zWCFH8yYxS6GCC8/34Z+rvRBvVjthXFcKF+er2nKkB9hyPVJ1bPVLz+3r4rp70Ehew7X9/b9lf9P/6X7NebcBp/t37Lfrf/f2f/t/yp4/78+f908eE/O6aJmTgQfiOvBa10A/Rw0dpkOz7EwaB4KCK/bYs9H+l0+lISUlp88f1isfK4AYr2ANk5F5oIrxLf3QGI80rP6ekcqfWcbxCcbbS8PMStlcVYbRFEz1orLpMPylD01yOF56jdf3PxDz1LIYEOariL1wKrGok5gMnLN0OFW5IM8F50WqBnyV7xH2OQQc5YeqfuxJgRSPmc/bCjUXwbIp8v7ztxwb4th5eSFULrUATqoeXUuGuEri5GIqc6oqeYP25UhTIbfmtuGdNI7iAzmaYZKc0tY6EuHh1NVSLsv+/nt+9/bv/tnjUt3/9f4f73z+m5TBX7ejYPxjwuwEAy58GCsz6Pw0S/GlAwaIj0uGC6PK2/Ir6lJCOnkCeg/ENO1rUZnx2vTqYmCCFfnvxrU2WbaCwsJBbbrmFefPm0dTURNeuXXn11VcZOHAgoM463nvvvbz00ktUV1czePBgZs2aRc+e/9Ck6YMaWLYH3umoHlEjxGEwWEKJHjSWqo3LqCjbo3Uc79CBPi6D9JOuxNZ1oE/siW76diEN772D/ZrrsAwYqHUc39HkgaUN6szwwnqodmONB06OVpeM9w0J3ht7f6PTwTAr5bebSLjboXY0vjYA9pD7Ko8C95fCgFCYGMBL3A06mJGozr49VAbFLngkCUxB8nuh/o+z9xS7IFQHw61wXyIcHa5uewAa8hqhkxdXrSmKur/510GAXwcAWvf/f7Pyu8GBvxlkaPX86WOUPz7Wr49R4/7rIEOLB3uLC4zV3nt+WnIqJFe74dsCdeA0Se7z21xus1roxxnhgzQ57aOdeeWrXVlZSV5eHjqdjvT0dGLb6Wir6upqhg8fzpgxY5g3bx7x8fHs2rWLyMjI3z7m0Ucf5fHHH+eNN96ga9euPPDAA4wdO5Zt27Zhsx3gRfu9jnBZDUzao77d2f+WsQrf0OG063EOnEynToE7hJyXl4fdR56fc9dOah68n9Bx47GecZbWcbRX44Zv93d5/74emhR1if7USDjOzj5bEZ0ypRmIv2o42gC1EfBoOXSxwPGy3csrPquFTc3q3vZAHxDT6eCqWEg0qkdClrvU1QzWAFzNoChqH4bvfjd77wQyzWoT0mPC1ZU0IRo8d50OzIBZmwH0fXl5gXvfoiiUPb+T+BcbYNQu+E8cXBQdPINa3rapCc7cp/b4eb+jpqf1BKs2/Yr/9NNPXHvttSxfvvwP7x82bBhPPvnkb7Pr3vLII4/QoUMHXn/99d/el56e/tvbiqLw5JNPcscdd3DyyScD8Oabb5KQkMB7773HZZdd9vcP3CUE5mTAOftg8h54swMMkhb4Qvgyj8NB1a03Y0hNJeLWO4K3IV+xUy3u59fBigZ16Wn/ULguTu3m/vvBy7wg/RoFkuvjYHsrXFMIHc3Qy4eOkgkETR54uAyOt0F2EN0HnBqpnhJxSQGcukft1B8XADftDfubXi7aPwBa5FKXsw+3qieNjAn37yMVxb/T6aifYCB+aif1tJMZpfBhjbqqZZhV63T+bX0TnL1XPcbz3TSI1H61ZzBqs+HJdevWMXLkSJYtW0ZMTAyDBg2iZ8+eWCwWli1bxsiRI1m3bl1bXe5vzZkzh0GDBnHaaacRHx9P//79efnll3/7+927d1NSUsK4ceN+e5/FYmHUqFF/GaD4i2QTfJaunm98xl71DGQhhE9SPB6q770bj8NB9EMz0YcEWcGzswWerYCJeTBoB9xdou7dvDcR1naBrzLU2TpZpRR49Dp4Mln93k7bp54DL9rOK1Xq7PbtQdj7Y2S4ekxWiQsm74ZdLVonOnS/zt6/UKke/dUzV21CuLxRPdHi3Y6wuZs6mHFBtBT6wSTCAPcnwrxOYNPDaXvhqgIodWqdzD+tbYQz96qrzN6XQl9LbVbs33777bS0tPDyyy9TUlLCqlWr2LBhAwUFBZx55pk0NTVx++23t9Xl/lZeXh7PP/88Xbp04ZtvvuHyyy/nmmuu4a233gKgpKQEgIQ/NehKSEj47e/+jsPhUP/oG3C8EEnLKBNclA/vBuj+JSH8XN2rL9OycjlR996P0V8agR4JjwI/N8FDpTBqp7oU8clyde/h08nwSzf1xfaCaNmPGAxC9fBaB3CjvlY1e7ROFBgqXeog2vnR6kxVMOoVAnPS1SXOk/fAukatE/27Bo86QXNrMQzZCWN2wcwytQnd3YmwrDP82Fndhz86XJtl+sJ39ApRt+g8nqz2tRm5C16qVBvZioOzsgHO3gc9Q9QBNGlwrimdoigH9dNbUFBAamrqAf/eZrMxYcIEPv7447/8XVNTE5GRkVgsFhwOx+Gn/Rdms5lBgwb9YZb+mmuuYc2aNaxYsYLly5czfPhwioqKSEpK+u1jLrnkEvLz85k/f/4fHs/hcBAR8deGK9dcdTX3MZ2Iz9xUTzNQPc3Yrvv2amtr/zZXoJDn59+0fn76dWsxP/FfnKedgXvySW3++Fo/v9+4FELXewj7wYP1BzfGcnBHQONwAw0j9DRl61Esh/Z7yWeem5cE2/OzbPGQdHUrDaP1lN9p8vv95Vp//2KecBK+wE3+BxY8EW3/tdT6+R0KvUMh8dZWzNsVyu410Tj8n2/m2/W5KQqmfQphKzyErvIQ+osHnROcqToaB+tpHKqnud+h/378J/70vTscwfr89HUKUa+4sH/hxpmuo+J6E839/G8wqD2/fyFr3STe5qS5p57Sh0wood5/3Qnkn8+26JVx0BuuevTowQMPPMDVV1/9t3tfdTod/zRucJBjCkckKSmJHj16/OF93bt359NPPwUgMVFtPFVSUvKHYr+srOwvs/2/l5+fj93+v0ZHFosFi9kMXSuJeriMqFYbPJgExva5kcoL5EYpyPPzd1o+P9fevZS/+DyWUaNJuu4/Xtmnr+n3r9EDi+vV/feL6qDGoza9mRQBE2wYcsKwGXUcbn9w+dn0b395fp0AVy226YXYBkXA9PZplustmn7/drbA7F1wWzzp/b3zdfS7n8/PPXB1IYm318GDsXBu1AE/1OvPrdEDyxrUxnrf10O+Uz02blgY3BUOY8IxdbIQAXijJPC7790hCurn9wxwaRPm20tIvroJTo5Qu/bH+0/Pinb7/i2uh9vyYaiVsJc7kBHaPgMjgf7zeaQO+ruQlJTE9ddfz+DBg1m/fv1f/n7o0KHMmTOHd9555w/vr62t5bLLLsPlcjF06NAjDvxPhg8fzrZt2/7wvu3bt5OWlgZARkYGiYmJLFy48Le/b21tZcmSJQwbNuyAj2u32//wx2LZf+b01bHwRLJ6NN/F+WrjHiGEJjwNDVTddjOGuDgi7/y/wGnIV+WCj2rUfaW9t6kNsjY3q0vy52fAqv3LT4dZ223AUfiRKRFwbax6dJr0mjl8D5apW2CmRWudxHeE6uHFVDg/Sl0i/2iZuie+PSiKOgDzUiWctRd6boML8mFJPRwbDm91UPfev5MGF8VAJ+lPIo5A71CYnQ6PJakF7cid8Ios7f+DBXUwLR9GWOHVDurvB+ETDnpYauPGjcyYMYNHHnmEnJwcrr32Wu69917CwtRutA8++CAjR47k/PPP58YbbyQjI4OmpiZ27NhBU1MTISEhPPDAA157IgDXX389w4YN48EHH+T0009n9erVvPTSS7z00kuAuvrguuuu48EHH6RLly506dKFBx98kLCwMM4+++zDu+jpkWpH2kvz4fS9aqd+OVZCiHaleDzUPHAv7rIy4l59A701XOtIR6Zwfwf9eQ5Y1QgeYGAo3BgHE+zBu19YHJ4b49SmZNMLYHYG9AiyhpVHakWD+u9xVors5/4zg05tapZsghll6ukfjyZ759iypv2z97+ee79v/+z9kDC4I17tnN/J7PfbVYSP0uvgzCgYb1cHtu4pVSf7HkxSj2QMZnMdcEUBjLPBrFQwy79BX3LQr1pms5l7772X9evXM2TIEB577DF69erFvHnzABg4cCBLlixhyJAhlJWV/dagr6mpicGDB/Pdd9+RnZ3ttScCkJ2dzeeff877779Pr169uP/++3nyySeZOnXqbx9z8803c91113HllVcyaNAgCgsLWbBgATbb4S58RX2B+Tgd9rbClD2Q33rEz0UIcfDq336T5iWLify/ezDuX8njVxQFtjXDU+VwXB7k7ID7StQb2RlJ8FNXtUi7IlYKfXHo9Dp4OgUyLOrMS4V06D9oHgXuL4V+ITDJ/u8fH4x0OrgyFp5Jgc9r4YJ9alO8I6Uoasf/Vyph6v7Z+/Pz1UJ/TLg6ubKpG7yXBhfHQKZFCn3hfVEGeCgJvs5Qj2k8aQ9cV6ie0hGMZtfC5QVwgh2el0LfFx3yFHRWVhZLly7llVde4ZZbbmHixImcdtppPPXUUwwaNIhly5ZRXl5OXl4eoC6dj4+Pb/PgBzJx4kQmTpx4wL/X6XTcc8893HPPPW174X6h6s341L0waQ+83VHONxaiHTSvXEHdSy8QfsGFhI4cpXWcg+dR4Kem/TP4dbC7Fax6ODocLotR/ysdbEVbCdPD6x3ghDx129mHaWo3cvHP5jjgl2b4NE0dNBEHdnIExBng4gI4ZY96fN2h7mtu8sDy/bP339fDHqdaPAwJg1vj1d+LmTJ7L3xA31CYkwHv16jbpL6pg5vj1d4VwbKl7pMauL4ITopQtzUbguR5+5nDfqW/+OKLyc3N5YwzzuCjjz6ie/fuv51pHxcXx+DBgxk8eHC7FvqayzCrBX+iUX2h+7FB60RCBDRXYSHVd9+FZcgwbBddonWcf9eqqPv9bi2GQTvUo6s+rIGhYeos1Yau8EKqus9aCn3R1lJM8EoHtXi9tbj99lf7q2aPehM/wQZDrFqn8Q8jwuGzdChzweTd6r76f7O7FV6thHP2Qq9tcF4+LKyHkeHqANWm/UeHXhoDnWX2XvgQvQ6mRsHSTDjRDneVwPG7YY0fHEl5pD6ohuuK4IxIKfR93BEN68fFxfHee+8xb948IiMjufzyyxkxYgRbt25tq3z+J84In6TDoFD1hWt2rdaJhAhInqYmqm67Cb3dTtTd96Iz+Ghx3OCBLx1wVQH03QZT96lNpCbb4bM0+LkrzEyGY22yH1h436Aw+G8SfFQLL1Zqnca3vV6l7kG/LYgmLdpCzxCYk65uQ5qyB9b+qfBp8qiz9neVwPCdcNROdauEE3VmdHEmrOysLpUeZ1NXPAnhy6KNaq+KLzPUNdNT9sB/igJ3y9SbVXBDsbqK4dEkKfR9XJt0khs/fjxbtmzh7rvv5oknnqB///7cfPPN3HnnnZjNQbi/1KqHNzrCjUVwZSGUuNRluUKINqEoCrUPz8BdUEDsy6+jt/vYXtpKl9qZdn4d/NAALQr0sMAlMTDepr4ts1NCK6dEqg37HihTZ0qPPYKeNYGqygVPV6g3s52lk/shSzXD5xlw4T44Yy/h1xvAWqXut1/eAM2KutJkTDjcnQDDrVLUC//XP1Qt+N+rgYdLYb7jf0v7A6UgfqUS7i6Fi6PhngS5l/EDh1Tsu91u3n33XRYsWEB5eTlxcXGMHTuWqVOnEhISwiOPPMI555zDpZdeygMPPMCHH37ICy+8wJgxY7yV33eZdPBksrqk/75SKHXCnQmy50+INtDw4fs0LVxA1P0zMGVmah1Hld+qFvfz62B1IyioHXpvjVcL/LQgHPgUvuuWeNjRCtML1VnYbtJj5g+erFBPwfhPnNZJ/FeUQV1+f3Uh8Q/VgalE/Z14U5xa5HeVQU8RgAw6tbg/waZuA7qjRN3X/2AiDPTzrv3PV6iDxNNj1BVP8u/XLxx0sd/Y2Mj48eNZvnw5yu/2+b3//vu89NJLLFiwAKvVSu/evVm+fDnPPfccd9xxB8ceeyznnXcejz32GNHRQXY+rU4HtyVAggn+r0Tdw/Z4inSqFOIItKxbi2PWM1jPPofQY8ZqF0RRYGvL/xrsbW5W/22PsKrL2sbaIFaO4RQ+Sq+Dp5PV5aYX5KudpeXYWFVei7pM9aZ4iJGvyREJ0cMLqRTO30XKqAwI99HtVkK0tWijukXvrEi4vURt3n1WpFok++PvlSfLYWY5XBerHucqhb7fOOg1U3fffTfLli0jKSmJp556irlz5/LUU0+RkpLCypUrufvuu3/7WJ1Ox/Tp09m6dStTpkzhzTffJCsri7ffftsrT8LnXRitHkfxdR2ctw/q3FonEsIvuUtLqb7rDsz9B2C//EoNAihYNnjUY/GG74Sxeeq+5y5mtbHexq5qB+qzoqTQF74v3ABvdFD7SlxSoDaQFOpsXLwRLgqyCQpvMeho6a6XQl8EpwFh6mDqg4nqefQjd8JbVeD2k9+3igIzy9RC/6Y4dRBUCn2/ctDF/scff4xOp2Pu3LlcffXVTJgwgauvvpqvv/4aRVH4+OOP//I5SUlJfPrpp8yePZuQkBAuuOCCtszuX060w7sd4ZcmOGWvOssvhDhoSksLVbfdjM5iIeq+GeiM7VRMt3hgUR3cXAQDt5MyvRU+d6hdp9/tCBu6waxU9d+43MwKf5Nqhlc7qMdA3i4d+lnTCHPr1O03obKHXAjRBgw6OD8afugME+xwWwlM3A0/N2md7J8pCjxYpm5rujMerpNtTf7ooF/JiouLsVqt9OnT5w/v7927N+Hh4ZSUlBzwc0888US2bt3KNddcc/hJA8Ewq3okTaULJu2GXQdxJI0QQm3I99ijOPN2EfXQIxgiI717wTq3epLGFQXQZ7t6FNSyRjglksLnzLCuCzySBKPDZVuO8H/ZYfBwkrqv9JUqrdNoR1Hg3lLoHaKeGy2EEG0pxgiPJcPsdHADJ+5WJxKqfHACUFHURnzPVcK9CXBFrNaJxGE66GI/MTGRhoaGvxyrt2XLFurr60lISPjHz7darTzxxBOHlzKQdA+BORkQolPP2P4pCM7iFOIINX7xGY1ffUnkzbdizurunYuUu+Ddajh3n1rgX1monv98RQws6gQ/ZsJdCbT01kujTRF4zoiEy2PUhrLf1WmdRhtfOtSZNmmmK4TwpkFhMC8DHkhUf++M2AXvVPvO0n6PovYZeLUKHkqEi+VEMX920MX+ySefjKIoHH/88bzwwgssWLCA559/nhNOOAGdTscpp5zizZyBJcWkHknT2Qyn7YWFQXpjJcRBaN24gdonHiPslNMIO35i2z74nlZ4oRKm7Ib+2+HWYvUM6DvjYXUXmN9JXbaWFSJ71ETguz0ejg5XB7p2BNnKsxaPulf/2HA4yqp1GiFEoDPo4IL9S/vHhcMtxeqq3/UaL+33KGqWt6vhsSQ4T3qX+LuD3vR6//33s3z5ctasWcP06dN/e7+iKAwaNIj77rvPKwED1q9H0lxVCBflq0uCz4rSOpUQPsVdUUHVHbdi7tGTiGuuO/IHVBS1a/6vR+RtbVFX2Yy0qkvrxoZLR3IRvAw6eDZFXXV2wT71vOhg+ffwRjUUOtUGm0II0V5ijfBECpwdpfZNmbgbpkbBLXHt//vXrcB/iuCzWvX48FMj2/f6wisO+qcoPDycH3/8kXfeeYeFCxdSUVFBTEwMY8eO5ZxzzsFsljOkD1moHl5KhTtL4MZiKHGpR1rIDKIQKE4nVXfcCkDUjIfQmUyH90BuRT33fn6dekxevhMi9HCMTT1De3Q4hEkjLiEAsO3v0H/8bri0QB2UNgX4a1K1G54uV2+2u1i0TiOECEbZYTCvE7xVDY+WwdcOdbXVmZHts63IqcC1hfCVY/+gr/QtCRSHNGRkMpmYNm0a06ZN81ae4GPQqcdxJBrh0XK14H8wUX2/EEGs9qkncG7dQuysFzDEHGJjmGYPLG1QC/yFdVDlVv+NjbfBBBsMtQZ+ASPE4epohldS4cy96mD0w4mBPQj9dDk4gRuk07QQQkNGnXpc94l2eKAUbiqG92rUuqBPqPeu26rA9AL1fumFVDje7r1riXYXJOvzfJxOB9fGQYIRbi5WG4XNSpFjf0TQavz6Kxo/+4SIm27B3LvPv38CQK0bFtXDfAd8Xw+NCmSa4exI9aibviHSdEuIgzXECg8lqavOulnUG9BAtLcVXq9Se3PEyS2REMIHxBnhqRT1/uWOEnWl1blRcHO8ug24LbV44LICWNIAL3WAcba2fXyhOXll8yVnRql7dy4vUGdU3uj4/+zdeZxO5f/H8feZ7Z7FbGYMYxmGCJFsIWLsewnZyt5ClJIIxdhrKpGsZYko7WkjS6pvaUEpKSW7LGMYM8bsc35/3Ll/prGM2W738Xo+HvPIfe7rnOtz3SfL+z7nXFfB/6YGrnFpv+9S/HPPyLfzHfLt0vXyjY+l22/NX5cofZMkZUi6xVt6pIT9Cj635AJ51ztY2p0qTTxm/+KsWTFnV1TwZpywL4f1ILNNA7jGNPCzTxS87JT0XKz9FvvxYVKPoIK5eJGcJd1/SNpyTlpSTmpuwT/jkbvZ+IcPH66jR48WaMfvvPOO3njjjQI9piW08pferiDtTbPPEH44zdkVAUUm8/RpnR43Rp6VblDgyCdkXOzW4b9Tpbkn7evT1v1LevqYfb3aSaWkHytLn1SUHg4l6AMF4emSUjM/+5fQeyw2Q//Wc/Zlr0aHcScdgGuTh2Ff+u6rSvY5hh4/KnXZL+3M56z957KkAf8G/WUEfSvL1d9u8+bNU6VKlTRixAjt2rUrz50lJyfr9ddf180336yePXvqr7/+yvOxLK22j/RBBfszNHful3alOLsioNCZGRk6PWG8zNQ0FZ/+rAzbv2HdNKUdydIzJ6Tmf0tN/5Zmxtofe5ldWtpxo7S6vH0Jm9J5nMQPwMW5G9K8svbfbwMO2SezswLTlKYcl6rbpO5MRAXgGlfSU5pTRnq3vHQ2S2q/Txp/1P4I49U6myn1PSj9lCytjJBuJ+hbWa7C/qJFixQYGKg5c+aoZs2aqlevnl544QX98MMPSku7/JXngwcP6u2331bfvn1VsmRJ9e/fXzt37lS3bt00YMCAghiDNVWySR9G2m/r77pf+jbJ2RUBhSph/lyl/fyTgqfNkHtImPS/JOmpo1L9v+zPq604bX/ufkk5aeeN0qvl7MvC8KgLULgC3O2PlZ3OtF/hTzedXVH+fZYobU2237nAhLgAXEVDP2ldRfufXe+ckW7fI62Ol7Jy+edyQqbU56B9GeJVEfbjwdJy9cz+fffdpz59+ujZZ5/Vyy+/rO3bt+unn36SZJ+h/8Ybb1SJEiVUvHhx2Ww2nT59WqdOndLevXsVGxsrSTJN+/+EzZs317Rp09SwYcNCGpKFhHnYv8G777B0z0HppTL2GToBi0le/7nOrXxbwa2ekm1ZSWnDn1J8plTaQ2ofYH/+voGv/XY2AEWvgpf0Slmp9wEp+pg0LdzZFeVdmilN2pq+sQAAj/xJREFUOyG1KCY15YoWABfjaUgPhEh3/Dtr/8h/pDdO2/9cvsn70vvFZ0r3HJD2pUlvlpduKcQZ/nHNyPUEfb6+vpo0aZLGjh2rN998U6+88oq+//57paWl6ddff3W0MwzDEezPCwsLU+/evfXggw+qatWqBVf99aCYu7Q8Qhp5RBp6WDpRUmru7KKAAnI6Uxkr98iYc1KlkufJWOohVUmR+gVL7f2lmt7WXvILcCW3+dn/MTnmqFTFJvV30Rn6V5ySDqZJi8s6uxIAyLtSntLLZaU+SfZZ+9vtlQYWty8jGvifux5PZUi9Dkr/pEtvlZdqEPSvF1c9G7+3t7cGDBigAQMGKCEhQf/73//0/fff659//lFsbKxSUlIUEhKiEiVKqHr16mratCkBP7+8DPtV/ZKe0oTjCr7HXXrWJATBNf3z7wz6axNlbkmSR6ZkBobKfDxMRqdg+yMsAK5N9/47Q//Tx6SKXq73rOeZTGnmSalXkFT1MlfAAMBV3OYnfV5RWnzKPqfRmjPSUyWlboGSYcjttCk9cMC+tPfb5aVq/Nl3PcnX0nsBAQHq0KGDOnToUFD14FLcDPvzOWEeCp58XKp62rrrHsN6/kqVPkuQ1iZKO1IkD8m8zVdJtb9WUuI6hayYI7cypZxdJYDcmFjSvirGkMPSR5FSRRf6gm7OSfu60qNKOLsSACg4noY0JES6M0CafFwa8Y+08rT0WAmVfjJNSnGX3qnASkXXIdaacTUPhii+p7t93eMvzzq7GuDiskxp+zlp+nGp6R4p6m/7P7LLekovl5F+uVGJzdcq4eQSBU5/Qh5lyji7YgC55WFI88tKxf+doT8vs0E7w6E0+5Wvh0Ltd8oBgNWEe9r/fH4zQjqVKfU+KLdkU3qnPEH/OpWvK/twjlNDPRQU6/P/V1Vu4DcvrgHJWdL35xTydrr03V/SsQypuLvUxt9+V0oTP8da1slfbtbZZUvkP+QheTds5OTCAVy1QHf72syd99nnk1kece1PoPnsCfvqHUNCnF0JABSu24tJ6ytJ75/RP+XiFOFKd2ChQBH2XZG7Ic0rI92xX+p/SPo4kuXHUPTSTOmnc9I356RvkqRt56R0ybeUpE7F7RPs1cs5g376/v2KnzJJ3lHNVaxvf+fUDiD/KtmkBWWlew/abxudfA0/ivNzsvR+gvR8uOTLTY0ArgNehtQzSBl7Tzm7EjgRYd9V+f97VaXjPvsV/tcj7M/rAIUl05R+TbEH+2+SpB/OScmmFOhmnxxmYinpNl8d8jiiipUu/o/+rKSzOv3kE3IPC1PQ+AkymGQScG1Ni9lD/vhj9hn67w12dkU5maY05bhU1Sb1CHJ2NQAAFBnCvisr7yUt+nfd44nHpOkuvO4xrj1Zpn3W7fPh/rtzUkKW5GtIDf3sE1w19pOqe9vvNjlv78UDvJmVpfgpk5QZd1IlXl0mNz+/IhoIgEI1oLj0Z6o0/qh9hv7brrHf25+ftf/59XpE9j+rAACwOMK+q7vNzx7yR/+77vEAZuhHHpmmtC/t/2/L/zZJisuUbIZU10d6MMQe7m/xydNdJGeXL1PKV1+q+LPPy6N8+UIYAACnmVRK+jtNuv+w9EmkVMHL2RXZpZvS1ONSUz8p6hr7EgIAgEJG2LeCe/5d93jCv+seN3WxdY/hPEfS///K/TdJ0tEMyV32QH9PsD3c1/VxTKyXVylbvlXiKwtVbNB98r69acHUDuDa4WnYn9/vtE8acFBaEykFXANzyaw8bf8Sc0FZiceGAADXGcK+VUy4YN3jj11s3WMUnZMZF4T7c9L+NMmQdJO3dEeAPdw38JWKFdw/0jMOH9bp6Kdla3Sb/AfdV2DHBXCNCXaXXvt3hv5hR+zzyjjztvmETOmFWPtz+jd5O68OAACchLBvFR6GNK+s/R9ZAw7Zl+QLvAauqsC5zmTan1U9H/D/SLVvr+xlv6W1cZjU0Ne+XnYhyEpO1qmxo+UWGKTgiZNluDELNmBpN1wwQ//U4/aJO51l7knpXJb0RAnn1QAAgBPl+V/4X331lZo25Xbca4orrnuMgnUuyz5L/vlw/2uKlCUpwtN+1X54qHSbr1TSs9BLMU1TZ2ZMU+Y/RxS6aInc/P0LvU8A14BmxaToktKE4/a5ZHo7YYb+I+nSq6fsc42EF/6fdwAAXIvyHPajoqJUtWpVPfDAA+rXr5+KF2diuGtCRZu0sJx0zwFp0nFpyjW87jHyLzVL2p78/+H+p2QpXVJJD3u47xdsn8Qxougny0p6c5WSN3yu4CnT5FmpUpH3D8CJBhW3zyUz9qgU6WVfwaMoPXtCKuYmPRRStP0CAHANydc9tX/88Ycef/xxlSlTRn379tVXX31VUHUhP5r42UP+klPSitPOrgYFKcO0B/o5J6VeB6Tqu6XuB6Slp6VQDym6lPRlJWlbZWlOGalXsFOCfuq2rUqY97L87rlXPi1bF3n/AJzMMKRp4VI9X/sM/QfTiq7vX5Old89Io8IKdP4RAABcTZ7D/l9//aXRo0crLCxMqampWrVqlZo3b67q1atr1qxZOnXqVEHWiavVr7g0IFh66qj9ii9cU5Yp7UqRXomzz3BdY7d9tus5JyUvQxodJq2rKP1aRXqlnH3pxRtszp11+uRJnX56nLxq11HAgw85rw4AzuVpSIvKSv5u0sBD0tnMwu/TNKXJx+3zkvQOKvz+AAC4huU57FeqVEnPPPOMDh06pHfeeUetW7eWYRiOq/1ly5blar+zTSolNfKTHjhsX3oI1z7TtK+qsPyU9OBhqdafUuu90jMnpGTTfkvqmgrSbzfa52R4MESq4S25XRtzM5ipKfKaPVOGt4+CJ0+T4cEcoMB1rbiHtCzC/gz9sCNSplm4/W08K317TnqqJHPWAACue/n+l7iHh4e6du2qrl276uDBg3rllVe0bNkyHTlyRCtXrtSqVat044038my/M3j8u+5x533SwGto3ePrWMr/vpbHt98oIfj/J6wy4m3y2Bco931B8tgXJLdEm0y3LGWWSVRmjTPKiIxXZtkEyfPffyRv//fnGpT++y4Zhw8peNFiuQcFObscANeCKjZpXhmp/yFpxgl7EC8MGaZ9BYDbfKWWxQqnDwAAXEiBXnaLiIjQlClTNGnSJH3yySd69dVX9emnnzqu9o8bN07dunXTkCFD1Lhx44LsGpcSdMEM/dfCusfXKdM0dXbFciUumCvPYuWUlVJNXgmV5JVQSR6poTKVpQzff5Qc8J3Swv9Wuv9+me5pUoqk3//9cQXu7kp/cKi8bqzq7EoAXEta+EtPl7RPHFvFJvUIKvg+3oiX/kqzz1fizEeZAAC4RhTKPbZubm7q3LmzPD09FRcXpy1btsg0TaWkpDiu9jds2FCzZs1S/fr1C6MEXKjSBeseTzlun8QNRcbMylLCyy/p3MoPFOb9ojx++/eqfhWb1MlXauwno6GfPINryFNSEc9ZXeD27t3r7BIAXIvuLy79mSqN+XeG/vq+BXfss5nS8yekboFSTZ+COy4AAC6swMP+0aNHtXjxYi1evFgHDx6UadpvPW7SpInuvvtuff755/rss8+0ZcsWNWnSROvWrVNUVFRBl4H/alrM/gz/U8ekG5207vF1yMzIUPz0KUr95AeVzJgpt5N+OjHeTWHdI6UwnmcHcB0xDGl6uLQ3TRp8SPo0UipbQKuFzIuTzmZJY8IK5ngAAFhAvpbeO880TX3yySfq0qWLypcvr4kTJ+rAgQPy9/fXsGHD9Ouvv+qrr77Sww8/rI8++kh//vmnWrdurfT0dD399NMFUQJyY0Cw1DfYvu7xd8zQX9iyUlJ06sknlP7J7yp5NkZunv7ShxV0tp07QR/A9cnLkF4pK/m6SQMOSUlZ+T/m0XRpYZx0X3GpjGf+jwcAgEXkK3EcPnxYixcv1pIlS3T48GHHVfw6depoyJAh6tOnj3x9c96mV7FiRb399tsKCwvTL7/8kp8ScDUMQ5pSyj7b+/2HpU8inbIG+/UgKyFBp0Y/LuMnqcSpiTIq+kgrIuwhn7vcAVzPQjzs88fcsV965Ig9/OdnRZHnYiU/N2l4aIGVCACAFeQ57Hfq1Enr1q1TVlaWTNOUr6+vevbsqSFDhuTqOfyAgACVKlVKhw4dymsJyAtPQ1r47wz9Aw5JH1aQ/JmhvyBlxsYqbuQIef5VVkHH+stoXMy+1nQxPmcAkCRV9ZbmlpEGHpKePSGNzeMM/b+lSG/FS1NL8XcZAAD/keew/+mnn0qSqlWrpgcffFD9+/dXYGDgVR2je/fuiouLy2sJyKvz6x6fn6F/KTP0F5SMQwcVN+Jh+RxprIDDnaTugdLzpe1fsgAA/l9rf2l8mDT1hH3C0m5BV7e/adonnY30ku5hHhoAAP4rz2H//FX8Zs2a5bnz559/Ps/7Ip8q26T5ZaV+Bwt33ePrSPru3Yp77FEFxN4t338aSo+ESqNLsAQUAFzKkBBpd6r0xFGpgpdU9ypm6N+cJH2dJC0pxxeqAABcRJ7D/htvvFGQdcAZmheTJpSUoo/bw3/PIGdX5LJSt2/TqVFPqnj8Q/KKvVF6Jtw+GSIA4NIMQ3o2XNr37wz9n1TM3SR7Gf9e1W/oK7UpVvh1AgDgggpkNn64sPuKS32CpCePSj+ec3Y1Lin5y806NWKsQuPGyOtMVRmLyxH0ASC3bG7S4nKSl5v9Gf5zuZih/614+x0BT5fk7ikAAC4hz2H/u+++U506dTRs2LArtr3vvvtUp04dbd26Na/dobAYhjQtXKrrY7+qcijN2RW5lKSPPlTCmBiFnYqWR2ZZGavLS238nV0WALiW0H9n6N+XKo04ImWZl26blCU9HyvdFSDd4lN0NQIA4GLyHPZXrVqlHTt26Pbbb79i24YNG+rnn3/WqlWr8todCpOXYZ8t3u/fqyoFse6xxZmmqcQVrylp0nKVODVVbv4lZHwYKdW7iudNAQD/r7q39HJZ6bNE6YXYS7dbGCedzpTGhBVdbQAAuKA8h/0vv/xSknI1QV/Hjh0lSV988UVeu0NhK/7vVZVD6dLDV7iqcp0zs7KUMGe2UmduUolTE2VUCpLxUaRUyebs0gDAtbX1l54Mk2adlD48k/P94+nSvJPS4OJSOa+irw8AABeS57B/+PBh2Ww2hYeHX7FteHi4bDabjhw5ktfuUBRu/Hfd488T7eseIwczI0Px0yYra/E+hcQ9IeO2QBnvVJBK5HmuSwDAhYaFSF0DpZH/SD8lZ3/v+Vj7M/4PhzqnNgAAXEiew35ycrK8vHL/rbrNZlNiYmJeu0NRaeVvX4bv5TjpnXhnV3NNyUpJ0aknR8v9LTcFn3xQRrdgaWmE/fEHAEDBMAzpuXD7bf2DD0lH0yVJnn9nSW/GSyNDpUB359YIAIALyHNKCQsLU2Jiov75558rtj1y5IgSEhIUGso38S7hweL2ZfieOCptY4Z+ScpKSNCpRx+R92eVFHCqu/RoqDSzNGs7A0Bh8P53hn53SYMOSclZCpmfIUV4SX2LO7s6AABcQp7DfsOGDSVJc+fOvWLb820aNGiQ1+5QlAxDmlFKuuXfqypH0p1dkVNlxsbq5JDhKvZlc/kmRNnXhH4ijOWeAKAwhXlIS8tJf6VK3fbL9/ssaXyYfVJZAABwRXkO+4MHD5ZpmoqJidGiRYsu2W7hwoWKiYmRYRgaPHhwXrvDv859vlZe459Uyjf/K9yObG7SK+Xs/83tuscWlHH4kOLue1hB23rKllpLxuII6d5gZ5cFANeHGj7SS2WkHSlKqWlI7VnaFACA3MrzrGKtW7dW9+7d9c4772jo0KF6+eWX1blzZ5UvX16GYWj//v366KOP9Ntvv8k0TXXr1k3t27cvyNqvOxmHD+vMszNkeNl06omR8m7SVAGPPiaP0mUKp8Pz6x7fuV965Ih9eT636+eKSvru3To9PFrF9w2Vuy1MxhvlpTosrQcARapDgLQyQsdtx1WeO6oAAMi1fE0h/tprr8kwDL399tvauXOnfvvtt2zvm6Z9+bZevXpp8eLF+enqumdmZOj0lGi5BRdX8qSpCj9+TGdeelEn+vSSf/8BKtbnXhm2Qlj6rZq39HIZ+zOTz8dKo6+PdY1Tf9quhEdeVMiRx+QWFihjVQWpIkvrAYBTRBVT5l5WiQEA4GrkaxpxHx8frV69Whs2bFCfPn1Uvnx52Ww2eXt7q0KFCrrnnnu0adMmrVq1Sj4+PgVV83Xp7OvLlf7bTgVNiJZ8fOTToqXCVr2lYj16KnHJqzpxb2+lbPm2cDpv4y+NDZNmn5Q+uMi6xxaT/OVmnX1gvkIOPi63ysVlfFSJoA8AAADApRTI4uAtWrRQixYtCuJQuIi0P35X4uJXVOzefrLdXEvau1eS5Obrq4CHhsunQ0edmfm8Tj3+qLybNlPAiMfkEV66YIt4KET6M9W+7nF5L6m2Nb+8SfroQ6U9tVnF40ZIzYrJWMTSegAAAABcDynmGpeVkqL4SRPleUNl+Q++/6JtPCtEKmT2ywqeMk1pu3Yptk9PJS5bIjMtreAKMQz7LPQ1vO239P9jrRn6TdNU4vLXlPnkzwo+eb/UI1jGsvIEfQAAAAAuiSRzjUucN0cZR48qaOIkGZ6el2xnGIZ8WrZW2Btvybf73Upc/IpO9O2tlO+2FFwx59c99pB9Sb5ka8zQb2ZlKeGll+Q2/YwC4u+W+ViojBdKS55MBAUAAADANRXIbfxpaWn6+eefdfjwYSUlJTkm5ruYfv36FUSX14WU77Yo6Z23FfDY4/KsEJmrfdz8/BQ47BH5duikMy88p1MjR8g7qrkCHnlMHqVK5b+oEh7S0gipyz7p0X+k+WVceoZ+MyND8VNnyHtlBXmn1JGeC5fRh6X1AAAAALi2fIX91NRUjR8/XosWLVJSUtIV2xuGQdjPpawz8YqfPkW2WxvIr9vdV72/Z2RFhcyZp5QN63VmzizF9umhYgMGqVivPjK8vPJXXA1vaU4Z6b7DUhUv6XHXnKE/KyVF8aMnqdjHDeVpVpKxNEJqxRrOAAAAAFxfnm/jz8jIUNu2bfXiiy/q7NmzKlGihEzTlGEYKlOmjGw2m0zTlGma8vPzU0REhMqVK1eQtVuWaZqKj3lGZlqagsZPkOGWt9NkGIZ8Wrex39p/VzclvrJQJ/r1UcoP3+e/yPYB0pgS0syT0hrXm6E/KzFR8Q+OV8BHreVpqyTjvUoEfQAAAACWkeewv3jxYn311VcqXbq0tm7dqmPHjkmSwsLCdPDgQZ09e1ZffPGFbrvtNmVkZGjq1Knat29fgRVuZclrP1XKF5sUNHqs3EuUyPfx3PyKKfDhESqx7HW5h4Tq1KMP69T4J5V5/Hj+DvxwqHRXgPTYP9Ivyfmus6hknjyp+L4TFLi5u9xDS8r4tIplVxcAAAAAcH3Kc9h/4403ZBiGpk2bpjp16uQ8sJubmjVrpi+//FJNmjTRoEGDtH379nwVez3IOPqPzrzwvHzatZdPi5YFemzPSpUU8vJ8BUVPVtovO3Si991KXPGazPQ8zqxvGNJzpaVqNmngIenYtT9Df8bhQ0ro9YyCtvWTUTlIxmc3SpH5fKwBAAAAAK4xeQ77O3fulCR179492/bMzMxsr93d3TVz5kylp6fr+eefz2t31wUzM1PxUybJLSBAgSOfKJQ+DMOQb5t2CnvzbfneeZcSFy1QbL97lLr1h7wd0OffGfoNXfMz9Kfv3q2zdy9U0B/9pUbF5LbmRim0QOaoBAAAAIBrSp7DfmJiogICAuTr6+vYZrPZdPbs2Rxta9SoIX9/f3399dd57e66cPaNlUrb8bOCnp4ot2LFCrUvN79iChzxmEosWyG3oCDFPTJcp54ep8zYE1d/sJKe0tJy0h+p0uP/SJdZjcFZUrdvV3LP9xV0sI/MrsXktuoGyZeVJwEAAABYU57TTlhYmM6dO5dtW/HixZWSkqITJ7IHRtM0lZaWptjY2Lx2Z3npf/6pxEUL5NfnHtlq53wsorB4VrpBIfMWKmjCJKX9tF0net2tsytXXP2t/TV9pNllpA8TpNknC6fYPEr+YrMy7v1OAbF3KOvhQLnNriB5uO5ygQAAAABwJXkO+2XLllVGRoZjYj7JfgVfktauXZut7ebNm5WamqrAwMC8dmdpZmqqTk+aII/ISAXcP6TI+zcMQ77t2ivszXfk2/lOJcyfq9j+9yp129arO1CnAGlUCem5WOmThMIp9iqde+8j6YHD8k1oKvOZMLk9WcY+1wAAAAAAWFiew36zZs0kSd98841j21133SXTNDVq1Ci9/fbb+uuvv/TOO++of//+MgxDLVq0yH/FFpSwYJ4yjhxW8ITJMrycN1mcW7FiCnx0pEosXS63gADFPfyQTk98SplXc0fGo6HSHQHSiCPSTufO0H924Sp5PG7KO+1maWk5GX1DnVoPAAAAABSVPIf9O+64Q6ZpauXKlY5tgwcPVo0aNXTy5En16tVLVatWVc+ePXX48GH5+flp4sSJBVK0laRu/UFJq99QwJCH5FmpkrPLkSR5Vq5iv7X/qQlK3bpVJ3rfrbNvrJSZkXHlnQ1DmllaqmKTBhySTuRinwJmZmUpYeoieU8vKQ/PCOmDG2S05q4SAAAAANePPIf9Ro0aad++fZozZ45jm6enpzZu3KjevXvLZrPJ/HeitiZNmmjz5s2qWrVq/iu2kKyEBJ2eOlledevJr0cvZ5eTjeHmJt8Oneyz9nfoqIS5c+y39v+Ui+UTz8/QnyVp0CEppehm6DczMpT42Bz5Lawpt6Dicvu8uozavlfeEQAAAAAsJM9h3zAMlS9fXmXKlMm2vUSJElq5cqUSEhJ05MgRJSQk6KuvvlKdOkU36ZyrOPNCjMzkZAU/NVGG27U5M7ybv78CRz6hEkuWy/DzU9ywITodPUGZJ68wCV+4p7SknPR7ivTE0SKZod9MTVFi/9kq9u7tUgVvuW2qKVVw3mMRAAAAAOAseU6YX331lb766ivFx8df9H0PDw+Fh4fLz88vr11Y2rnP1yl5/ecKfHy03EuWdHY5V+RZpYpCF7yioHFPK/WH7+yz9q9+4/K39t/iY7+l/70z0stxhVpfVmKiznadL//NbWTWcZf7ulpSiEeh9gkAAAAA16o8h/2oqCi1aNHCcas+ci/z+HGdef5Z+bRqI982bZ1dTq4Zbm7y7dRZYW++I5927ZUwZ7ZiB/ZT6s8/XXqnOwOlx0KlZ05I6xILpa7M2Fid67Bc/j+3VVZ7Q+7v3Sz5Xpt3SgAAAABAUchzIgoMDFRQUJCCg4MLsh7LM7OydHrqJBm+vgocNdrZ5eSJW0CAgkaNVujiZTK8vRX30IM6PXmiMuMucWv/yBJSB39p+GHpt5QCrSVj/0Gltv1YxfY2V+Z9HnJ/5SbJg6X1AAAAAFzf8hz2b7jhBiUmJio1NbUg67G8pLfeVNq2rQp+aoLcAgKcXU6+eN1YVaELX1Xg2PFK3fKt/db+t1bnvLXfzZBml5Eq2qSBh6TYgpmhP/2X3cpo/518jtdT5kQ/uU+qYl8NAAAAAACuc3kO+7169VJ6erreeuutgqzH0tL//lsJC+bJr2dv2erd6uxyCoTh5ia/zncqbPU78mnTVgmzZyp2UD+l7vg5e0NfN2lpOSndlO47JKXmb4b+1M3bZXbdI1tSFWXND5X7A+XzdTwAAAAAsJI8h/0RI0aoUaNGGj58uD799NOCrMmSzLQ0nZ48QR5lyipgyEPOLqfAuQUEKuiJJxX66lIZnl6KG/qATk+dpMxTF0zMV9pTWlxW+jVFGpP3GfpT3v5a7gPOyCOrpMy3IuR+R3gBjQIAAAAArCHP05VPnz5dTZs21a+//qrOnTvrpptuUuPGjRUWFiZ3d/dL7jdhwoS8dunSEl9ZqIx9+1Ri8TIZNpuzyyk0XtWqK/SVJTr30RolzH9ZKV99qYAHhsi3S1cZHh5SHV/phdLS8CPSjTZpaOhVHT957jp5PRMgFfOU8VE1GTew2gMAAAAA/Feew350dLQMw3DMxr9z50799ttvV9zvegz7qT9t19lVr8t/6DB5Vq7i7HIKneHmJr87u8gnKkoJC+brzIsvKOmjNQoaNVpeNW+W7gqUdqdK005IlWxSG/9cHffc0x/Ie2mEskqek/tn9WWEWfdLEwAAAADIjzyH/aZNm8pgMrQryjp7VvGTo+V1cy0V632Ps8spUm6BQQoaM1a+ne/QmedjdPLB++TTsbMChg6T++gS0p5U+xX+NRWkqt6XPI5pmkp+8B35fFJVGTfGy+Pj22T4XvruEQAAAAC43uU57G/evLkAy7CuMy8+r6zERIXMWyDjMo83WJlX9Zv+vbX/QyXMn6eUrzYr4IGh8p15p4xuB6UBh6RPIqWQnP87munpSrn7ffn+WEPpt8XJ840mLK0HAAAAAFeQ5wn6cGXJmzYq+bNPFfj4KHmEl3Z2OU5luLvLr0tX+6z9US105oUYnRwxWGljz0nJWdL9h6W07BP2mUnJSm31kXx+rKG0rvHyfIugDwAAAAC5QdgvJJmxsYqPmSHvqBbyadfB2eVcM9yDghQ0drxCFy2WJJ18arASm22Uuf2cNPb/Z+jPOn5G6bdvlG1PZaUPOyevObdJPDYCAAAAALmS59v4cWlmVpbip02W4eWloDFPMrfBRXjVqKnQV5fq3IfvK2HhfGWGHVLQm31lVvGUW+XTyhz2tzzOllHGNMlzQD1nlwsAAAAALiXPYb9FixZXvY9hGNq4cWNeu3QZ5957R6k/fK/iM2fLLTDI2eVcswx3d/l17S7v5i2VOP9lJa74RMUmt1dZrxQZWQHKXOQvz/Y3OLtMAAAAAHA5hT5B3/mr2qZpXhdXuNP379OZl+fIr/vd8m7YyNnluAT34GAFjXtaaR1+UdrAP+WWWFx6u7w865V1dmkAAAAA4JLyHPYnTpx42ffPnDmj77//Xlu2bFFISIiGDh0qd4vPRm+mpyt+0kR5hIfL/6GHnV2Oy/G65WaZ22po356/VbEKQR8AAAAA8qrQwv55mzZtUteuXbVr1y698847ee3OJSQueVXpe/5S6CtL5OZ96XXjcWmGm5vkYe0vhQAAAACgsBX6bPwtWrTQ7Nmz9f777+vVV18t7O6cJu3XX3R2xWvyH3y/vKpWc3Y5AAAAAIDrWJEsvdezZ0+5u7tbNuxnJSXp9KSJ8qx+k4rd28/Z5QAAAAAArnNFsvSet7e3/Pz89PvvvxdFd0UuYfZMZcWfVsisOTI8WM0QAAAAAOBcRXJl/8iRIzpz5oxM0yyK7opU8pebde7jjxQw4jF5lGVSOQAAAACA8xV62E9OTtZDDz0kSapZs2Zhd1ekMuNO6syz0+V9e1P5drrD2eUAAAAAACApH7fxT548+bLvp6Sk6NChQ1q3bp3i4uJkGIaGDRuW1+6uOaZpKn76NMlwU+CYcTIMw9klAQAAAAAgKR9hPzo6OlcB1zRNubm5afz48erTp09eu7vmnPvwfaVu+UbFn5sp9+LFnV0OAAAAAAAOeQ77TZs2vWzY9/DwUHBwsGrVqqUePXqocuXKee3qmpNx8IASXpol3y53ybtxE2eXAwAAAABANnkO+5s3by7AMlyHmZGh05Oj5RZaQgHDRzi7HAAAAAAAcmCduKuUuGyJ0nf/odAFr8jN19fZ5QAAAAAAkEORLL1nFWm/7dTZ15aqWP+B8rqphrPLAQAAAADgovIc9vfv36+RI0dq9uzZV2z7wgsvaOTIkTp06FBeu3O6rORknZ48UZ43VpX/gEHOLgcAAAAAgEvKc9hfsWKFZs+eLdM0r9j23Llzmj17tl5//fW8dud0CXNmKSs2VsETomV48PQDAAAAAODaleew/9lnn0mSOnXqdMW2vXr1kmma+uSTT/LanVOlfLdF5z54XwEPj5BHRHlnlwMAAAAAwGXl6zZ+d3d3RUZGXrFtZGSk3N3ddeDAgbx251RnXnhOtkaN5dulq7NLAQAAAADgivIc9k+dOiV/f3+5u7tfsa2Hh4cCAgIUGxub1+6cyrN6dQWNGy/DMJxdCgAAAAAAV5TnsB8UFKQzZ84oMTHxim0TExN15swZBQQE5LU7pyo+aarcQ0KdXQYAAAAAALmS57Bfu3Ztmaapt99++4ptV69eraysLNWsWTOv3QEAAAAAgFzKc9jv1q2bTNPU6NGj9csvv1yy3Y4dOzRmzBgZhqEePXrktTsAAAAAAJBLeQ77/fv310033aRTp06pYcOGGjFihNavX68///xTf/31l9avX69HHnlEjRo10unTp1W9enUNHjy4IGsHAAAAAAAXkecF4z09PbVmzRq1bdtWe/bs0csvv6yXX345RzvTNFW5cmV99NFH8mB9egAAAAAACl2er+xL9iX1tm3bpvHjxys8PFymaWb7KVOmjCZMmKBt27apQoUKBVQyAAAAAAC4nHxfavf399eUKVM0ZcoUHTx4UMeOHZMkhYeHq1y5cvkuEAAAAAAAXJ0Cva8+IiJCERERBXlIAAAAAABwlfJ1Gz8AAAAAALj25Dnsf/fdd6pTp46GDRt2xbb33Xef6tSpo61bt+a1OwAAAAAAkEt5DvurVq3Sjh07dPvtt1+xbcOGDfXzzz9r1apVee0OAAAAAADkUp7D/pdffilJatas2RXbduzYUZL0xRdf5LU7AAAAAACQS3kO+4cPH5bNZlN4ePgV24aHh8tms+nIkSN57Q4AAAAAAORSnsN+cnKyvLy8ct3eZrMpMTExr90BAAAAAIBcynPYDwsLU2Jiov75558rtj1y5IgSEhIUGhqa1+4AAAAAAEAu5TnsN2zYUJI0d+7cK7Y936ZBgwZ57Q4AAAAAAORSnsP+4MGDZZqmYmJitGjRoku2W7hwoWJiYmQYhgYPHpzX7gAAAAAAQC555HXH1q1bq3v37nrnnXc0dOhQvfzyy+rcubPKly8vwzC0f/9+ffTRR/rtt99kmqa6deum9u3bF2TtAAAAAADgIvIc9iXptddek2EYevvtt7Vz50799ttv2d43TVOS1KtXLy1evDg/XQEAAAAAgFzK8238kuTj46PVq1drw4YN6tOnj8qXLy+bzSZvb29VqFBB99xzjzZt2qRVq1bJx8enoGoGAAAAAACXka8r++e1aNFCLVq0KIhDAQAAAACAfMrXlf3cysrK0kcffaQuXboURXcAAAAAAFzXCuTK/qX8+eefWrJkiZYvX67jx48XZlcAAAAAAOBfBR72z507p7feektLlizRN998I+n/J+qrVq1aQXcHAAAAAAD+o8DC/nfffaclS5Zo9erVOnv2rCR7yK9ataruvvtu3X333apRo0ZBdQcAAAAAAC4hX2E/NjZWK1as0OLFi/XHH39I+v+r+IZh6Mcff1TdunXzXyUAAAAAAMi1qw77pmnqs88+0+LFi/Xxxx8rIyNDpmnKx8dHXbp0Uf/+/dWuXTtJ3LYPAAAAAIAz5Drs//3331qyZIlee+01HT16VKZpyjAMNWnSRP369VOPHj3k7+9fmLUCAAAAAIBcyHXYr1y5sgzDkGmaqlixovr27at+/fopMjKyMOsDAAAAAABX6apv43/kkUcUExMjLy+vwqgHAAAAAADkk1tuG3p5eck0Tc2ZM0elS5fWsGHD9N133xVmbQAAAAAAIA9yHfaPHTuml156STfffLNOnTql+fPnq3Hjxrrxxhs1ffp0HTx4sDDrBAAAAAAAuZTrsB8UFKThw4frp59+0rZt2zR06FAFBgbqr7/+0tNPP62KFSuqRYsWWrp0aWHWCwAAAAAAriDXYf9CtWvX1ty5c3X06FGtWLFCzZo1k2ma2rx5s+677z5Hu88//1wZGRkFViwAAAAAALiyPIX982w2m+655x5t2rRJe/bs0bhx41SmTBlJkmma6tatm8LCwjRw4EB9+umnBH8AAAAAAIpAvsL+hSIjIzV16lQdOHBAn376qbp27SoPDw/Fx8dr+fLl6ty5s0qWLFlQ3QEAAAAAgEsosLB/nmEYateund555x0dOXJEzz//vKpXry7TNBUfH1/Q3QEAAAAAgP8o8LB/odDQUI0cOVK//vqrvv32Ww0ePLgwuwMAAAAAAJI8iqqjhg0bqmHDhkXVHQAAAAAA161CvbIPAAAAAACKHmEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxlg77M2bMkGEYevTRRx3bTNNUdHS0SpcuLR8fH0VFRem3335zXpEAAAAAABQwy4b9H3/8UYsWLdLNN9+cbXtMTIxmzpypl19+WT/++KNKlSql1q1bKzEx0UmVAgAAAABQsCwZ9s+ePat77rlHr7zyioKDgx3bTdPUrFmzNH78eHXt2lU1atTQa6+9pnPnzmnVqlVOrBgAAAAAgIJjybA/bNgwdezYUa1atcq2fd++fTp27JjatGnj2Gaz2dSsWTN9++23RV0mAAAAAACFwsPZBRS0N998U9u2bdPWrVtzvHfs2DFJUsmSJbNtL1mypA4cOHDJYyYkJGR7bbPZZLPZCqBaAAAAAAAKnqXC/qFDhzRixAh9/vnn8vb2vmQ7wzCyvTZNM8e2C5UrVy7b60ceeUQjRozIX7H5cObMGe3du9dp/Rc2xufaGJ/rsvLYJMbn6hif67Ly2CTG5+oYn2uz8vgqVqyY72NYKuxv27ZNJ06cUN26dR3bMjMz9dVXX+nll1/W7t27Jdmv8IeHhzvanDhxIsfV/gsdOnRIAQEBjtfOvrK/d+/eAjn51yrG59oYn+uy8tgkxufqGJ/rsvLYJMbn6hifa7P6+PLLUmG/ZcuW+vXXX7NtGzhwoKpWraoxY8aoYsWKKlWqlNavX6/atWtLktLS0vTll1/q2WefveRxAwICsoV9AAAAAACuZZYK+/7+/qpRo0a2bX5+fgoJCXFsf/TRRzV9+nRVrlxZlStX1vTp0+Xr66s+ffo4o2QAAAAAAAqcpcJ+bowePVrJycl66KGHdPr0aTVo0ECff/65/P39nV0aAAAAAAAFwvJhf/PmzdleG4ah6OhoRUdHO6UeAAAAAAAKm5uzCwAAAAAAAAWLsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAAAAAAFkPYBwAAAADAYiwV9mfMmKH69evL399fYWFh6tKli3bv3p2tjWmaio6OVunSpeXj46OoqCj99ttvTqoYAAAAAICCZ6mw/+WXX2rYsGH67rvvtH79emVkZKhNmzZKSkpytImJidHMmTP18ssv68cff1SpUqXUunVrJSYmOrFyAAAAAAAKjoezCyhIa9euzfZ66dKlCgsL07Zt29S0aVOZpqlZs2Zp/Pjx6tq1qyTptddeU8mSJbVq1So9+OCDzigbAAAAAIACZakr+/915swZSVLx4sUlSfv27dOxY8fUpk0bRxubzaZmzZrp22+/dUqNAAAAAAAUNEtd2b+QaZoaOXKkmjRpoho1akiSjh07JkkqWbJktrYlS5bUgQMHLnmshISEbK9tNptsNlsBVwwAAAAAQMGwbNgfPny4fvnlF/3vf//L8Z5hGNlem6aZY9uFypUrl+31I488ohEjRhRMoXlw5swZ7d2712n9FzbG59oYn+uy8tgkxufqGJ/rsvLYJMbn6hifa7Py+CpWrJjvY1gy7D/88MNas2aNvvrqK5UtW9axvVSpUpLsV/jDw8Md20+cOJHjav+FDh06pICAAMdrZ1/Z37t3b4Gc/GsV43NtjM91WXlsEuNzdYzPdVl5bBLjc3WMz7VZfXz5Zaln9k3T1PDhw/Xee+9p06ZNioyMzPZ+ZGSkSpUqpfXr1zu2paWl6csvv9Rtt912yeMGBARk++EWfgAAAADAtcxSV/aHDRumVatW6cMPP5S/v7/jGf3AwED5+PjIMAw9+uijmj59uipXrqzKlStr+vTp8vX1VZ8+fZxcPQAAAAAABcNSYX/+/PmSpKioqGzbly5dqgEDBkiSRo8ereTkZD300EM6ffq0GjRooM8//1z+/v5FXC0AAAAAAIXDUmHfNM0rtjEMQ9HR0YqOji78ggAAAAAAcAJLPbMPAAAAAAAI+wAAAAAAWA5hHwAAAAAAiyHsAwAAAABgMYR9AAAAAAAshrAPAAAAAIDFEPYBAAAAALAYwj4AAAAAABZD2AcAAAAAwGII+wAAAAAAWAxhHwAAAAAAiyHsAwAAAABgMYR9AAAAAAAshrAPAAAAAIDFEPYBAAAAALAYwj4AAAAAABbj4ewCAADXl8zMTKWnpzul35SUlCLvt6gwPtdmhfF5enrK3d3d2WUAAP5F2AcAFAnTNHXs2DHFx8c7pf+MjAzt27fPKX0XBcbn2qwyvqCgIJUqVUqGYTi7FAC47hH2AQBF4nzQDwsLk6+vb5GHgbS0NHl5eRVpn0WJ8bk2Vx+faZo6d+6cTpw4IUkKDw93ckUAAMI+AKDQZWZmOoJ+SEiIU2owDEM2m80pfRcFxufarDA+Hx8fSdKJEycUFhbGLf0A4GRM0AcAKHTnn9H39fV1ciUACtP53+POmJcDAJAdYR8AUGR4jhewNn6PA8C1g7APAAAAAIDFEPYBAAAAALAYwj4AAPkwaNAg2Ww2/frrrznee+aZZ2QYhj766KNs2xMSEvTMM8+oQYMGCgoKkqenp0qWLKl27dpp1apVSk1NdbTdv3+/DMPI9hMQEKBatWpp1qxZyszMLPQxXsm8efO0bNkyZ5cBAAAuQNgHACAfZs2apVKlSql///7ZJiX79ddfNXHiRA0YMECdO3d2bP/rr79Uu3ZtTZs2TU2aNNHy5cu1adMmzZkzR2XKlNGgQYM0derUHP08/PDD2rJli7Zs2aK33npLjRs31mOPPabRo0cXyTgvh7APAMC1h6X3AADIh4CAAC1evFht2rTR1KlTNWnSJKWnp6tv374qWbKkZs2a5WibkZGhLl266NSpU/rhhx9UrVq1bMfq0aOHJkyYoJ9++ilHPxEREWrYsKHjdbt27bRz50698cYbeuGFFwptfAAAwDVxZR8AgHxq1aqVhgwZounTp2vbtm2Kjo7Wjh07tHjxYgUGBjravf/++9q1a5fGjx+fI+ifV758eXXp0iVX/QYGBsrT0zPbtqysLMXExKhq1aqy2WwKCwtTv379dPjw4Rz7L1myRLVq1ZK3t7eKFy+uu+66S7///nu2Nnv37lWvXr1UunRp2Ww2lSxZUi1bttTPP/8sSapQoYJ+++03ffnll47HDCpUqJCr+gEAQOHhyj4AAAXgueee07p169S9e3cdOnRIQ4YMUevWrbO1Wb9+vSTpjjvuuOrjZ2VlKSMjQ5J05swZffjhh1q7dq3GjBmTrd3QoUO1aNEiDR8+XJ06ddL+/fv19NNPa/Pmzdq+fbtCQ0MlSTNmzNC4cePUu3dvzZgxQ3FxcYqOjlajRo30448/qnLlypKkDh06KDMzUzExMYqIiNDJkyf17bffKj4+XpL9C4zu3bsrMDBQ8+bNkyTZbLarHh8AAChYhH0AgNNkpaQo48D+IukrIy1NhpfXZdt4lK8gN2/vPB3fz89PU6dOVZ8+fVSqVCk999xzOdocOnRIkv3q/YVM08w20Z5hGHJ3d8/WZsyYMTmC/YABAzRp0iTH6z/++EOLFi3SQw89pDlz5ji2165dWw0aNNCLL76oadOmKT4+XlOmTFGHDh20atUqR7uoqChVrlxZ0dHRWrlypeLi4rR7927NmjVL9957r6Nd165dsx3bx8dHAQEB2R4zAAAAzkXYBwA4TcaB/To5sJ+zy3AIXbpcXjdWzdO+WVlZmjNnjtzc3HTixAnt2LFDjRs3ztW+s2fP1mOPPeZ4fdNNN2nnzp3Z2owYMcIRuM+ePastW7Zo6tSpSkpK0ltvvSVJ+uKLLyTZvwS40K233qpq1app48aNmjZtmrZs2aLk5OQc7cqVK6cWLVpo48aNkqTixYurUqVKeu6555SZmanmzZurVq1acnPjKUAAAK51hH0AgNN4lK+g0KXLi6Sv9LQ0eebiyn5ePf/889qyZYvefPNNTZw4UYMGDdLPP/8sHx8fR5uIiAhJ0oEDB1SlShXH9j59+qhJkyaSpAcffDDb0nvnlS1bVvXq1XO8joqKkmEYGjt2rNatW6eoqCjFxcVJksLDw3PsX7p0aR04cECSrtju/OMGhmFo48aNmjx5smJiYvT444+rePHiuueeezRt2jT5+/tf3YcEAACKDGEfAOA0bt7eeb6SfrXM1FR5FdKz5Lt27dKECRPUr18/9ezZU+XLl1fjxo01fvx4zZw509GudevWWrRokdasWaNRo0Y5toeFhSksLEyS5O/vf9GwfzE333yzJGnHjh2KiopSSEiIJOno0aMqW7Zstrb//POP43n9C9v914XtJPsjB4sXL5Yk/fnnn3rrrbcUHR2ttLQ0LViwIFd1AgCAosd9eAAA5ENGRob69++v0NBQzZ49W5LUsGFDjRw5UrNnz9Y333zjaHvXXXepevXqmj59uv744498931+RvzzXxS0aNFCkvT6669na/fjjz/q999/V8uWLSVJjRo1ko+PT452hw8f1qZNmxzt/qtKlSp66qmnVLNmTW3fvt2x3WazKTk5Od/jAQAABYcr+wAA5MOMGTO0detWffbZZwoKCnJsnzJlij766KNst/O7u7vrgw8+UNu2bXXrrbfq/vvvV1RUlIKDgxUfH6/vv/9eO3bsuOiyfAcPHtR3330nSUpKStKWLVs0Y8YMlS9f3jFh3o033qgHHnjAMXdA+/btHbPxlytXzjEvQFBQkJ5++mmNGzdO/fr1U+/evRUXF6dJkybJ29tbEydOlCT98ssvGj58uO6++25VrlxZXl5e2rRpk3755Rc9+eSTjtpq1qypN998U6tXr1bFihXl7e2tmjVrFtZHDgAAcoGwDwBAHu3YsUNTpkzR/fffr3bt2mV7z9vbW8uWLctxO3/lypX1888/a+7cuXr//ff16quv6ty5cypevLhq1aqladOm5Zg4T5LmzJnjmGHf29tbEREReuCBBzRmzBgFBAQ4bv2fP3++KlWqpMWLF2vu3LkKDAxUu3btNGPGDMft+5I0duxYhYWF6aWXXtLq1avl4+OjqKgoTZ8+3bHsXqlSpVSpUiXNmzdPhw4dkmEYqlixol544QU9/PDDjmNNmjRJR48e1f3336/ExESVL19e+/fvL8iPGgAAXCXCPgAAeVSrVi2lpaVd8v2GDRtmW1LvvICAAI0dO1Zjx469Yh8VKlSQaZq5rsnNzU2jR4/W6NGjr9h28ODBGjx48CXfDwsL09KlS694nPLly2vdunW5rhEAABQ+ntkHAAAAAMBiCPsAAAAAAFgMYR8AAAAAAIsh7AMAAAAAYDGEfQAAAAAALIawDwAAAACAxRD2AQAAAACwGMI+AAAAAAAWQ9gHAAAAAMBiCPsAAAAAAFgMYR8AAAAAAIsh7AMAkE/ff/+97rrrLkVERMhms6lkyZJq1KiRHn/8cUlSbGysvLy81KtXr0seIyEhQb6+vrrjjjuybf/ll180cOBARUZGytvbW8WKFVOdOnUUExOjU6dOFeq4AACA6yLsAwCQD5988oluu+02JSQkKCYmRp9//rlmz56txo0ba/Xq1ZKkEiVK6I477tAHH3yg06dPX/Q4b775ppKTkzV48GDHtldeeUV169bVjz/+qCeeeEJr167V+++/r7vvvlsLFizI1hYAAOBCHs4uAAAAVxYTE6PIyEitW7dOHh7//9dqr169FBMT43g9ePBgvfvuu1q5cqWGDx+e4zhLlixRyZIl1bFjR0nSli1bNHToULVu3VoffPCBbDabo23r1q31+OOPa+3atYU4MgAA4Mq4sg8AQD7ExcUpNDQ0W9A/z83t//+abdu2rcqWLaulS5fmaPf777/r+++/V79+/RzHmT59ugzD0KJFi7IF/fO8vLxy3PIPAABwHlf2AQBOk5pp6nCyWSR9paWZ8krPumybsj6GbO7GVR23UaNGevXVV/XII4/onnvuUZ06deTp6ZmjnZubmwYMGKCpU6dqx44dqlWrluO9818ADBo0SJKUmZmpTZs2qW7duipXrtxV1QMAACAR9gEATnQ42dTjP6cVYY+X7+uFW7xUqdjVhf1nnnlGf/zxh+bMmaM5c+bI09NT9evXV+fOnTV8+HAVK1bM0XbQoEGaNm2alixZotmzZ0uSMjIytGLFCjVu3FhVq1aVJJ08eVLnzp1TZGTkVY4PAADAjrAPAHCasj6GXrjFq0j6SktLk5fX5fsq63N1QV+SQkJC9PXXX2vr1q3auHGjtm7dqs2bN2vs2LFauHChfvzxR4WGhkqSIiMj1bx5c61cuVLPPfecvLy89Nlnn+nYsWOaNm1ansYFAABwMYR9AIDT2NyNq76SnlepqYZstsKbqqZevXqqV6+eJCk9PV1jxozRiy++qJiYmBwT9d1zzz1as2aNunfvrqVLl6pYsWLq0aOHo01oaKh8fX21b9++QqsXAABYGxP0AQBQwDw9PTVx4kRJ0s6dO7O917VrVwUHB2vJkiWKjY3Vxx9/rJ49e2a73d/d3V0tW7bUtm3bdPjw4SKtHQAAWANhHwCAfDh69OhFt//++++SpNKlS2fb7u3trT59+ujzzz/Xs88+q/T0dMfEfBcaO3asTNPU/fffr7S0nHMNpKen66OPPiqAEQAAACviNn4AAPLh/JJ6nTt3VtWqVZWVlaWff/5ZL7zwgooVK6YRI0bk2Gfw4MGaO3euZs6cqapVq+q2227L0aZRo0aaP3++HnroIdWtW1dDhw7VTTfdpPT0dP30009atGiRatSooc6dOxfFMAEAgIsh7AMAkA9PPfWUPvzwQ7344os6evSoUlNTFR4erlatWmns2LGqVq1ajn1q166t2rVr66effrroVf3z7r//ft1666168cUX9eyzz+rYsWPy9PRUlSpV1KdPHw0fPrwwhwYAAFwYYR8AgHzo0aNHtsn1cmv79u25alerVi0tW7bsqo8PAACubzyzDwAAAACAxRD2AQAAAACwGMI+AAAAAAAWQ9gHAAAAAMBiCPsAAAAAAFgMYR8AAAAAAIsh7AMAAAAAYDGEfQAAAAAALIawDwAAAACAxRD2AQAAAACwGMI+AAD5sGzZMhmGoa1btxZpv1FRUYqKirqqfXbt2qXo6Gjt378/x3sDBgxQhQoV8lSHYRiOH29vb1WvXl1Tp05VWlraVR/PVVWoUEEDBgxwdhkAADh4OLsAAABw9ebNm3fV++zatUuTJk1SVFRUjmD/9NNPa8SIEXmqpWLFilq5cqUkKTY2Vq+++qqefvppHTx4UIsWLcrTMV3N+++/r4CAAGeXAQCAA2EfAAAXVL169QI9XqVKlfK8r4+Pjxo2bOh43b59e1WvXl2vvfaaXnrpJXl7exdEibmSnp4uwzDk4VG0/8SpXbt2kfYHAMCVcBs/AABF4H//+59atmwpf39/+fr66rbbbtMnn3xy0XaNGjWSt7e3ypQpo6efflqvvvqqDMPIdvv9xW7jnz9/vmrVqqVixYrJ399fVatW1bhx4yTZHze4++67JUnNmzd33Ha/bNkySRe/jT8rK0tz5szRLbfcIh8fHwUFBalhw4Zas2bNZcfq4eGhW265RWlpaYqPj3dsN01T8+bNcxwvODhY3bt31969e7Ptb5qmpk+frvLly8vb21v16tXThg0bcox58+bNMgxDK1as0OOPP64yZcrIZrNpz549kqQNGzaoZcuWCggIkK+vrxo3bqyNGzdm6ys2NlYPPPCAypUrJ5vNphIlSqhx48basGGDo81PP/2kTp06KSwsTDabTaVLl1bHjh11+PBhR5uL3cZ/8OBB3XvvvY79qlWrphdeeEFZWVmONvv375dhGHrxxRc1c+ZMRUZGqlixYmrUqJG+++67y37OAABcDlf2AQBOk6wU7deBIukrzUiTl7wu26aCystHBX8V+ssvv1Tr1q118803a/HixbLZbJo3b546d+6sN954Qz179pQk/fLLL2rdurWqVKmi1157Tb6+vlqwYIFef/31K/bx1ltv6aGHHtLDDz+s559/Xm5ubtqzZ4927dolSerYsaOmT5+ucePGae7cuapTp46ky1/RHzBggF5//XUNHjxYkydPlpeXl7Zv337RZ/7/a9++fQoKClKJEiUc2x588EEtW7ZMjzzyiJ599lmdOnVKkydP1m233aYdO3aoZMmSkqTx48drxowZeuCBB9S1a1cdOnRIQ4cOVUZGhqpUqZKjr7Fjx6pRo0ZasGCB3NzcFBYWptdff139+vXTnXfeqddee02enp5auHCh2rZtq3Xr1qlly5aSpL59+2r79u2aNm2aqlSpovj4eG3fvl1xcXGSpKSkJLVu3VqRkZGaO3euSpYsqWPHjumLL75QYmLiJccfGxur2267TWlpaZoyZYoqVKigjz/+WKNGjdLff/+d4zGMBQsWqFq1apo1a5Yk+2MVHTp00L59+xQYGHjFzxsAgP8i7AMAnGa/Dqi3BhRNZ5fP+ZKkN7RM1XRjgXf95JNPKjg4WJs3b1axYsUkSZ06ddItt9yiUaNGqUePHjIMQ1OnTpW7u7s2btyo0NBQSfaQXrNmzSv2sWXLFgUFBemll15ybDsfaCWpRIkSqly5siT7IwAX3nZ/MV9//bVWrFih8ePHa+rUqY7t7dq1u2j7jIwMSdLJkyc1f/58bd26VQsWLJC7u7sk6bvvvtMrr7yiF154QSNHjnTsd/vtt6tKlSqaOXOmnn32WZ0+fVozZ85Uz549tXDhQke7KlWqqFmzZhcN+5UqVdLbb7/teH3u3DmNGDFCnTp10vvvv+/Y3qFDB9WpU0fjxo3T999/L0n65ptvdN999+n+++93tLvzzjsdv/7jjz8UFxenxYsXZ9veo0ePy35+M2fO1JEjR/T999/r1ltvlSS1bdtWmZmZWrBggR599NFsY/H399fHH3/s+LxKly6tW2+9VZ999pl69ep12b4AALgYwj4AwGkqqLze0LIi6SstLU1eXle+sl/QkpKS9P3332vo0KGOoC9J7u7u6tu3r8aMGaPdu3eratWq+vLLL9WiRQtH0JckNzc39ejRQ9HR0Zftp169epo/f7569+6tXr16qXHjxtmOc7U+++wzSdKwYcOu2Pa3336Tp6dntm1jx47Vgw8+6Hj98ccfyzAM3XvvvY4vBiSpVKlSqlWrljZv3izJ/qVAampqjjDdoEGDS64W0K1bt2yvv/32W506dUr9+/fP1pdk/7IiJiZGSUlJ8vPz06233qply5YpJCRErVq1Ut26dbON5YYbblBwcLDGjBmjo0ePqmnTprmaL2HTpk2qXr26I+ifN2DAAM2fP1+bNm3KFvbbtWvnCPqSdPPNN0uSDhwomjtfAADWQ9gHADiNj7wL5Ur6xaSaqbLJViR9Xej06dMyTVPh4eE53itdurQkOW4Zj4uLc9zKfqGLbfuve+65R4Zh6JVXXlG3bt2UlZWl+vXra+rUqWrduvVV1x0bGyt3d3eVKlXqim0rVaqkN998U6Zp6sCBA5o6dapmzJihm2++2XFV+vjx4zJN85JjqVixoqT//yyu5nP472d7/PhxSVL37t0vWfOpU6fk5+en1atXa+rUqY4VBIoVK6a77rpLMTExKlWqlAIDA/Xll19q2rRpGjdunE6fPq3w8HDdf//9euqpp3J8yXFeXFzcRb+c+O85Py8kJCTba5vN/v9qcnLyJccAAMDlEPYBAChEwcHBcnNz09GjR3O8988//0iS4wp8SEiII6he6NixY7nqa+DAgRo4cKCSkpL01VdfaeLEierUqZP+/PNPlS9/dXctlChRQpmZmTp27NhFv6i40PlJ9CSpfv36at68uW666SY9+uij6tSpk4oVK6bQ0FAZhqGvv/7aEWQvdH7b+dB7qc/hYgHaMIxsr89/nnPmzLnk4wrnvzgIDQ3VrFmzNGvWLB08eFBr1qzRk08+qRMnTmjt2rWSpJo1azq+zPjll1+0bNkyTZ48WT4+PnryyScvevyQkJBcnXMAAAoLs/EDAFCI/Pz81KBBA7333nvZrtJmZWXp9ddfV9myZR23czdr1kybNm3SyZMns7W78Hn03PbZvn17jR8/Xmlpafrtt98kXd3V4vbt20uyz/B/tUJCQvTMM8/o+PHjmjNnjiT7HAWmaerIkSOqV69ejp/z8xI0aNBANptNq1evznbM77//Pte3tDdu3FhBQUHatWvXRfuqV6/eRR/piIiI0PDhw9W6dWtt3749x/uGYahWrVp68cUXFRQUdNE257Vs2VK7du3K0Wb58uUyDEPNmzfP1VgAAMgrruwDAFAANm3adNFZ6jt06KAZM2aodevWat68uUaNGiUvLy/NmzdPO3fu1BtvvOG4Mj1+/Hh99NFHatmypcaPHy8fHx8tWLBASUlJkuzP71/K+TkBGjdurPDwcB07dkwzZsxQYGCg6tevL0mqUaOGJGnRokXy9/eXt7e3IiMjc9xCLtknzuvbt6+mTp2q48ePq1OnTrLZbPrpp5/k6+urhx9++LKfR79+/TRz5kw9//zzGjZsmBo3bqwHHnhAAwcO1NatW9W0aVP5+fnp6NGj+t///qeaNWtq6NChKl68uEaOHKkZM2YoODhYd911lw4fPqzo6GiFh4df9jM4r1ixYpozZ4769++vU6dOqXv37goLC1NsbKx27Nih2NhYzZ8/X2fOnFHz5s3Vp08fVa1aVf7+/vrxxx+1du1ade3aVZJ9roF58+apS5cuqlixokzT1Hvvvaf4+PjLPh7x2GOPafny5erYsaMmT56s8uXL65NPPtG8efM0dOjQi040CABAQSLsAwBQAMaMGXPR7fv27XNcsZ84caIGDBigrKws1apVS2vWrFGnTp0cbWvVqqX169dr1KhR6tevn4KDg9W3b181a9ZMY8aMuewSbI0bN9bKlSv11ltv6fTp0woNDVWTJk20fPlyx/J3kZGRmjVrlmbPnq2oqChlZmZq6dKlOdaHP2/ZsmWqU6eOFi9erGXLlsnHx0fVq1fXuHHjrvh5uLm56ZlnnlHHjh01a9YsTZgwQQsXLlTDhg21cOFCzZs3T1lZWSpdurQaN26cbSK7adOmyc/PTwsWLNDSpUtVtWpVzZkzR9HR0QoKCrpi35J07733KiIiQjExMXrwwQeVmJiosLAw3XLLLY7xent7q0GDBlqxYoX279+v9PR0RUREaMyYMRo9erQkqXLlygoKClJMTIz++ecfeXl56cYbb9SyZcvUv3//S/ZfokQJffvttxo7dqzGjh2rhIQEVaxYUTExMdlWIwAAoLAYpmmazi7iWpWQkKDAwECdOXNGAQEBzi7HYe/evY6JjKyI8bk2xue6CnNsKSkp2rdvnyIjI+XtXfDr2OdGamrqRZ8VdwVt2rTR/v379eeff16yjSuPLzf++OMP1apVSxMnTszVlw2uxirn72K/163856bE+Fwd43NtVh9ffnFlHwCAa8jIkSNVu3ZtlStXTqdOndLKlSu1fv16LV682NmlFZkdO3bojTfe0G233aaAgADt3r1bzz77rAICAjR48GBnlwcAgEsg7AMAcA3JzMzUhAkTdOzYMRmGoerVq2vFihW69957nV1akfHz89PWrVu1ePFixcfHKzAwUE2bNtWMGTNytQwhAAAg7AMAcE2ZPXu2Zs+e7ewynOqGG27Qhg0bsm2zym3uAAAUFZbeAwAAAADAYgj7AAAAAABYDGEfAAAAAACLIewDAAAAAGAxhH0AAAAAACyGsA8AAAAAgMUQ9gEAAAAAsBjCPgAA+bBs2TIZhuH48fDwUHh4uHr16qW//vrLaXVFR0fLMAyn9n2xn5dfftkpNV3OuXPnFB0drc2bNzu7FAAACoyHswsAAMAKli5dqqpVqyolJUXffPONpk2bpi+++EJ//PGHgoODnV2eU6xdu1aBgYHZtkVGRjqpmks7d+6cJk2aJEmKiopybjEAABQQwj4AAAWgRo0aqlevniR7YMzMzNTEiRP1wQcfaODAgU6uzjnq1q2r0NDQAj/uuXPn5OvrW+DHBQDASriNHwCAQnA++B8/ftyxLSUlRY8//rhuueUWBQYGqnjx4mrUqJE+/PDDHPsbhqHhw4drxYoVqlatmnx9fVWrVi19/PHHOdp+8sknuvXWW2Wz2RQZGannn3/+ojWlpKRo7NixioyMlJeXl8qUKaNhw4YpPj4+W7sKFSqoU6dO+vjjj1W7dm35+PioWrVqjr6XLVumatWqyc/PT7feequ2bt2ap89oyZIlqlWrlry9vVW8eHHddddd+v3337O1GTBggIoVK6adO3eqTZs28vf3V8uWLSVJaWlpmjp1qqpWrSqbzaYSJUpo4MCBio2NzXaMTZs2KSoqSiEhIfLx8VFERIS6deumc+fOaf/+/SpRooQkadKkSY7HDQYMGJCnMQEAcK3gyj4AAIVg3759kqQqVao4tqWmpurUqVMaNWqUypQpo7S0NG3YsEFdu3bV0qVL1a9fv2zH+OSTT/Tjjz9q8uTJKlasmGJiYnTXXXdp9+7dqlixoiRp48aNuvPOO9WgQQO9+eabyszMVExMTLYvGSTJNE116dJFGzdu1NixY3X77bfrl19+0cSJE7VlyxZt2bJFNpvN0X7Hjh0aO3asxo8fr8DAQE2aNEldu3bV2LFjtXHjRk2fPl2GYWjMmDHq1KmT9u3bJx8fn2x9ZmZmKiMjw/HaMAy5u7tLkmbMmKFx48apd+/emjFjhuLi4hQdHa1GjRrpxx9/VOXKlR37paWlqVu3bhoyZIiefPJJZWRkKCsrS3feeae+/vprjR49WrfddpsOHDigiRMnKioqSlu3bpWPj4/279+vjh076vbbb9eSJUsUFBSkI0eOaO3atUpLS1N4eLjWrl2rdu3aafDgwbrvvvskyfEFAAAAroqwDwBwmqy0FKWcOFQkfaWlpSnTy+uybbzDysnNyztPxz8fbM8/sz916lQ1bdpUd9xxh6NNYGCgli5dmm2fli1b6vTp05o1a1aOsJ+cnKwNGzbI399fklSnTh2VLl1ab731lp588klJ0vjx41WyZEl9+umnjufj27ZtqwoVKmQ71ueff65169YpJiZGTzzxhCSpdevWKleunHr27Knly5fr/vvvd7SPi4vTd999pzJlykiSSpcurVtuuUWvvPKK9uzZ47iN3jAMdenSRRs2bFDnzp2z9VmqVKlsr8uUKaPDhw8rPj5eU6ZMUYcOHbRq1SrH+1FRUapcubKio6O1cuVKx/b09HSNGzdODzzwgGPbm2++qbVr1+rdd99V165dHdtr1aql+vXra9myZRo6dKi2bdumlJQUPffcc6pVq5ajXZ8+fRy/rlu3riSpbNmyatiwoQAAsALCPgDAaVJOHNKfs4Y5uwyHKo/OlW/ZyldueBH/DYnVqlXThx9+KA+P7H/Vvv3225o1a5Z27NihpKQkx3Zv75xfMjRv3twR9CWpZMmSCgsL04EDByRJSUlJ+vHHH/XQQw9l29/f31+dO3fWa6+95ti2adMmScpxe/rdd9+tQYMGaePGjdnC/i233OII+ufHI9kD+YXPy5/ffr6mC23YsCHbBH1e/37ZsmXLFiUnJ+eopVy5cmrRooU2btyY41h33XVXttcff/yxgoKC1Llz52x3D9xyyy0qVaqUNm/erKFDh+qWW26Rl5eXHnjgAT300EO6/fbbHXdFAABgZYR9AIDTeIeVU5VH5xZJX2lpaY6webl68mr58uWqVq2aEhMTtXr1ai1cuFC9e/fWZ5995mjz3nvvqUePHrr77rv1xBNPqFSpUvLw8ND8+fO1ZMmSHMcMCQnJsc1msyk5OVmSdPr0aWVlZeW4gi7lvKoeFxcnDw+PHLenG4ahUqVKKS4uLtv24sWLZ3t9/rO71PaUlJQcNdSqVeuiE/Sd7ys8PDzHe6VLl9b69euzbfP19VVAQEC2bcePH1d8fPwlz+nJkyclSZUqVdKGDRsUExOjYcOGKSkpSRUrVtQjjzyiESNGXHRfAACsgLAPAHAaNy/vPF9Jv1ruqanZnkkvaNWqVXNMyte8eXNlZmbq1Vdf1TvvvKPu3btLkl5//XVFRkZq9erVMgzDsW9qamqe+gwODpZhGDp27FiO9/67LSQkRBkZGYqNjc0W+E3T1LFjx1S/fv081ZAX57/EOHr0aI73/vnnnxxfEFz4WZ0XGhqqkJAQrV279qJ9XHhHxO23367bb79dmZmZ2rp1q+bMmaNHH31UJUuWVK9evfIzFAAArlnMxg8AQCGIiYlRcHCwJkyYoKysLEn20Orl5ZUtvB47duyis/HnxvnZ8N97771sV9YTExP10UcfZWt7fgb7119/Pdv2d999V0lJSY73i0KjRo3k4+OTo5bDhw9r06ZNuaqlU6dOiouLU2ZmpurVq5fj58Ybb8yxj7u7uxo0aKC5c+13k2zfvl2SHF8Cnb9jAgAAK+DKPgAAhSA4OFhjx47V6NGjtWrVKt17773q1KmT3nvvPT300EPq3r27Dh06pClTpig8PFx//fVXnvqZMmWK2rVrpw4dOuiJJ55QZmamnn32Wfn5+enUqVOOdq1bt1bbtm01ZswYJSQkqHHjxo7Z+GvXrq2+ffsW1NCvKCgoSE8//bTGjRunfv36qXfv3oqLi9OkSZPk7e2tiRMnXvEYvXr10sqVK9WhQweNGDFCt956qzw9PXX48GF98cUXuvPOO3XXXXdpwYIF2rRpkzp27KiIiAilpKQ4Hplo1aqVJPtdAOXLl9eHH36oli1bqnjx4goNDc0xySEAAK6EK/sAABSShx9+WBEREZo8ebIyMzM1cOBAPfPMM/rss8/UoUMHPfvss3ryySezzQx/tVq3bq0PPvhAiYmJ6tmzp0aOHKlu3bpp0KBB2doZhqEPPvhAI0eO1NKlS9WhQwc9//zz6tu3rzZt2lSojzhczNixY/Xqq69qx44d6tKli4YPH66bbrpJ3377bbZl9y7F3d1da9as0bhx4/Tee+/prrvuUpcuXfTMM8/I29tbNWvWlGSfsC8jI0MTJ05U+/bt1bdvX8XGxmrNmjVq06aN43iLFy+Wr6+v7rjjDtWvX1/R0dGFNXQAAIqEYZqm6ewirlUJCQkKDAzUmTNnckwM5Ex79+619EzCjM+1MT7XVZhjS0lJ0b59+xQZGXnRWeeLQmohP7PvbIzPtVllfBf7vW7lPzclxufqGJ9rs/r48osr+wAAAAAAWAxhHwAAAAAAiyHsAwAAAABgMYR9AAAAAAAshrAPAAAAAIDFEPYBAAAAALAYwj4AAAAAABZD2AcAAAAAwGII+wAAAAAAWAxhHwAAAAAAiyHsAwAAAABgMYR9AADyYdmyZTIMw/Hj7e2tUqVKqXnz5poxY4ZOnDhRqP3v379fhmFo+fLlV7XfgAEDVKFChcIp6jJ9XvhZXepnwIABRVoXAABW5OHsAgAAsIKlS5eqatWqSk9P14kTJ/S///1Pzz77rJ5//nmtXr1arVq1KpR+w8PDtWXLFpUtW/aq9nv66ac1YsSIQqnpcn0OGTLE8Xr79u0aNmyYpk+frubNmzu2lyhRokjrAgDAigj7AAAUgBo1aqhevXqO1926ddNjjz2mJk2aqGvXrvrrr79UsmTJAu/XZrOpYcOGSk1Nvar9KlWqVOC15KbPC/tNSUmRJFWuXFkNGza85H7JyckyDKPQ6wMAwEq4jR8AgEISERGhF154QYmJiVq4cGG297Zu3ao77rhDxYsXl7e3t2rXrq233norxzGOHDmiBx54QOXKlZOXl5dKly6t7t276/jx45Iufht/bGysYx+bzaYSJUqocePG2rBhg6PNxW7jT0lJ0dixYxUZGSkvLy+VKVNGw4YNU3x8fLZ2FSpUUKdOnbR27VrVqVNHPj4+qlq1qpYsWZLPT+z/H4v4/PPPNWjQIJUoUUK+vr6OLzNWr16tRo0ayc/PT8WKFVPbtm31008/5ThObj9fAACsiiv7AADnSc6S9lzdFem8MtLSJa+syze6wSb5FOz34B06dJC7u7u++uorx7YvvvhC7dq1U4MGDbRgwQIFBgbqzTffVM+ePXXu3DnHM+tHjhxR/fr1lZ6ernHjxunmm29WXFyc1q1bp9OnT1/yToG+fftq+/btmjZtmqpUqaL4+Hht375dcXFxl6zTNE116dJFGzdu1NixY3X77bfrl19+0cSJE7VlyxZt2bJFNpvN0X7Hjh16/PHH9eSTT6pkyZJ69dVXNXjwYN1www1q2rRpvj+3QYMGqWPHjlqxYoWSkpLk6emp6dOn66mnntLAgQP11FNPKS0tTc8995xuv/12/fDDD6pevfpVfb4AAFgZYR8A4Dx7UqV2+4qkK6/cNFobKdX0KdB+/fz8FBoaqn/++cex7aGHHtJNN92kTZs2ycPD/ldx27ZtdfLkSY0bN079+vWTm5ubJkyYoJMnT2rHjh2qVq2aY/8ePXpcts9vvvlG9913n+6//37HtjvvvPOy+3z++edat26dYmJi9MQTT0iSWrdurXLlyqlnz55avnx5tuOdPHlS33zzjSIiIiRJTZs21caNG7Vq1aoCCfstW7bMdjfEnj17NHHiRA0fPlwvvfSSY3vr1q1VuXJlTZo0SatXr5aU+88XAAArI+wDAJznBps9YBeBtLR0eXl5XrmeQmCapuPXe/bs0R9//KHnn39ekpSRkeF4r0OHDvr444+1e/duVatWTZ999pmaN2+eLejnxq233qply5YpJCRErVq1Ut26deXpefmxb9q0SZJyXPW+++67NWjQIG3cuDFb2L/lllscQV+SvL29VaVKFR04cOCqar2Ubt26ZXu9fv16ZWRkqF+/ftk+M29vbzVr1kxffPGFpKv7fAEAsDLCPgDAeXzcCvxK+qWYqW6SrXDC/OUkJSUpLi5ONWvWlCTHs/ajRo3SqFGjLrrPyZMnJdmfvb/aWfYl+3PtU6dO1auvvqqnn35axYoV01133aWYmBiVKlXqovvExcXJw8Mjx0z4hmGoVKlSOR4BCAkJyXEMm82m5OTkq673YsLDw7O9Pr+EYf369S/a/vyV+qv5fAEAsDLCPgAAheiTTz5RZmamoqKiJEmhoaGSpLFjx6pr164X3efGG2+UZF+C7vDhw1fdZ2hoqGbNmqVZs2bp4MGDWrNmjZ588kmdOHFCa9euveg+ISEhysjIUGxsbLbAb5qmjh07dsmQXVj+O/v++S8X3nnnHZUvX/6S+13N5wsAgJUR9gEAKCQHDx7UqFGjFBgYqAcffFCSPWhWrlxZO3bs0PTp0y+7f/v27bVixQrt3r07zwE1IiJCw4cP18aNG/XNN99csl3Lli0VExOj119/XY899phj+7vvvqukpCS1bNkyT/0XlNatW8vDw0N///13jlv8L3Q1ny8AAFZG2AcAoADs3LlTGRkZysjI0IkTJ/T1119r6dKlcnd31/vvv5/tavnChQvVvn17tW3bVgMGDFCZMmV06tQp/f7779q+fbvefvttSdLkyZP12WefqWnTpho3bpxq1qyp+Ph4rV27ViNHjlTVqlVz1HHmzBk1b95cffr0UdWqVeXv768ff/xRa9euveSVbskeptu2basxY8YoISFBjRs3dszGX7t2bfXt27fgP7SrUKFCBU2ePFnjx4/X3r171a5dOwUHB+v48eP64Ycf5Ofnp0mTJknK/ecLAICVEfYBACgAAwcOlCR5eXkpKChI1apV05gxY3TffffleA6+efPm+uGHHzRt2jQ9+uijOn36tEJCQlS9evVsM+2XKVNGP/zwgyZOnKhnnnlGcXFxKlGihJo0aaLixYtftA5vb281aNBAK1as0P79+5Wenq6IiAiNGTNGo0ePvmT9hmHogw8+UHR0tJYuXapp06YpNDRUffv21fTp07Mtu+csY8eOVfXq1TV79my98cYbSk1NValSpVS/fn0NGTLE0S63ny8AAFZmmBdOEYxsEhISFBgYqDNnziggIMDZ5Tjs3btXFStWdHYZhYbxuTbG57oKc2wpKSnat2+fIiMj5e3tXSh9XElqauo1EVgLC+NzbVYZ38V+r1v5z02J8bk6xufarD6+/GKRWQAAAAAALIawDwAAAACAxRD2AQAAAACwGMI+AAAAAAAWQ9gHAAAAAMBiCPsAAAAAAFgMYR8AAAAAAIsh7AMAAAAAYDGEfQAAAAAALIawDwAAAACAxRD2AQDIh2XLlskwDHl7e+vAgQM53o+KilKNGjXydMytW7fq5MmTMgxD0dHRBVTxlQ0YMECGYTh+3N3dVbZsWfXo0UM7d+4ssjoAAEDeeTi7AAAArCA1NVVPPfWUVqxYke9jdezYUVu2bFG1atVks9m0ZcsWlS1btgCqzD0fHx9t2rRJkpSRkaE9e/Zo6tSpuu222/T777+rTJkyRVoPAAC4OoR9AAAKQLt27bRq1SqNGjVKtWrVytexSpQooRIlSjheN2zYML/lXTU3N7ds/TZp0kQRERFq2bKlPvnkEz3wwANFXhMAAMg9buMHAKAAjB49WiEhIRozZswV286dO1dNmzZVWFiY/Pz8VLNmTcXExCg9PT1bu6ioKEVFRUmS0tPTFRYWpr59++Y4Xnx8vIKCgjRy5EjHtoSEBI0aNUqRkZHy8vJSmTJl9OijjyopKSnPYwwMDJQkeXp6OrbFxsbqoYceUvXq1VWsWDGFhYWpRYsW+vrrrx1tTNNU5cqV1bZt2xzHPHv2rAIDAzVs2LDL1j5q1Kgctb/99ttq0KCBAgMD5evrq4oVK2rQoEF5Hh8AAFbClX0AgNNkpErxR4qmr7Q0Q15el28TVEbysOXt+P7+/nrqqac0YsQIbdq0SS1atLhk27///lt9+vRxhNkdO3Zo2rRp+uOPP7RkyZKL7uPp6al7771XCxYs0Ny5cxUQEOB474033lBKSooGDhwoSTp37pyaNWumw4cPa9y4cbr55pv122+/acKECfr111+1YcMGGYZxxTFlZGQ4/rtnzx498cQTCg4OVseOHR1tTp06JUmaOHGiSpUqpbNnz+r9999XVFSUNm7cqKioKBmGoYcffliPPvqo/vrrL1WuXNmx//Lly5WQkOAI+5erfdeuXY7at2zZop49e6pnz56Kjo52zJlw/tEDAACud4R9AIDTxB+R3nuiqHq7QtKX1PU5KbRi3nsYMmSIZs+erTFjxuiHH364ZKCeOXOm49dZWVm6/fbbFRISooEDB+qFF15QcHDwRfcbOHCgXnzxRa1evVr333+/Y/uyZctUp04d1axZU5L00ksv6ZdfftH333+vevXqSZJatmypMmXKqHv37lq7dq3at29/2bEkJSVlu4IvSeHh4froo48UFhbm2HbjjTdq3rx5jteZmZlq27at9u/fr5deeslxZ8LAgQP11FNPae7cuZo1a5aj/dy5c9W8eXNVr179srWHhYWpd+/ejtq//fZbmaapBQsWOO44kOyTCwIAAMI+AMCJgsrYA3ZRSEtLk9cVLu0H5XPOOS8vL02dOlV9+vTRW2+9pZ49e1603U8//aSJEyfqm2++cVwZP+/PP/9UgwYNLrpfzZo1VbduXS1dutQR9n///Xf98MMPmj17tqPdxx9/rBo1auiWW25xXJ2XpLZt28owDG3evPmKYd/Hx0dfffWVJPsXEkeOHNHs2bPVoUMHrV27Vo0aNXK0XbBggRYtWqRdu3YpNTXVsb1q1aqOX/v7+2vgwIFatmyZpk2bJj8/P23atEm7du3SlClTrlh769ats9Vev359SVKPHj00ePBgNW7cmEkDAQC4AGEfAOA0Hrb8XUm/Gqmppmx5vEX/avTq1UvPP/+8xo8fr65du+Z4/+DBg7r99tt14403avbs2apQoYK8vb31ww8/aNiwYUpOTr7s8QcNGqRhw4bpjz/+UNWqVbV06VLZbDb16NHD0eb48ePas2dPjivz5508efKK43Bzc3NcWT+vbdu2KleunEaOHKktW7ZIst+l8Pjjj2vIkCGaMmWKQkND5e7urqefflq///57tv0ffvhhvfzyy1q5cqUeeOABvfzyyypbtqzuvPPOq669adOm+uCDD/TSSy+pX79+Sk1N1U033aTx48erd+/eVxwfAABWR9gHAKAAGYahZ599Vq1bt9aiRYtyvP/BBx8oKSlJ7733nsqXL+/Y/vPPP+fq+L1799bIkSMdV8hXrFihLl26ZLv1PzQ0VD4+Ppd8/j80NPTqBvUvX19fVapUSTt27HBse/311xUVFaX58+dna5uYmJhj/xtuuEHt27fX3Llz1b59e61Zs0aTJk2Su7v7FWs/f2fGhbXfeeeduvPOO5WamqrvvvtOM2bMUJ8+fVShQoVsdx4AAHA9IuwDAFDAWrVqpdatW2vy5MkqV65ctvfOP8dvu+A2A9M09corr+Tq2MHBwerSpYuWL1+uRo0a6dixYzlmoO/UqZOmT5+ukJAQRUZG5nM0/+/s2bPas2dPtmf2DcPINhZJ+uWXX7Rly5YcY5ekESNGqE2bNurfv7/c3d2zzT1wudpTU1Nz9HOezWZTs2bNFBQUpHXr1umnn34i7AMArnuEfQAACsGzzz6runXr6sSJE7rpppsc21u3bi0vLy/17t1bo0ePVkpKiubPn6/Tp0/n+tiDBg3S6tWrNXz4cJUtW1atWrXKtmzfo48+qnfffVdNmzbVY489pptvvllZWVk6ePCgPv/8cz3++OOXnBfgvKysLH333XeOXx85ckQvvfSSTp8+rejoaEe7Tp06acqUKZo4caKaNWum3bt3a/LkyYqMjMz2zP2F469evbq++OIL3Xvvvdm+OLhc7X///be++OILR+0TJkzQ4cOH1bJlS5UtW1bx8fGaPXu2PD091axZs1x/lgAAWBVhHwCAQlC7dm317t1bq1atyra9atWqevfdd/XUU0+pa9euCgkJUZ8+fTRy5MgrTpp3XqtWrVSuXDkdOnRI48ePl5ubW7b3/fz89PXXX+uZZ57RokWLtG/fPvn4+CgiIkKtWrVShQoVrthHcnJytqvjYWFhqlatmt5//3116dLFsX38+PE6d+6cFi9erJiYGFWvXl0LFizQ+++/r82bN1/02D169FB0dLSGDx+e471L1V6uXDm1bt3aUXuDBg20detWjRkzRrGxsQoKClK9evW0adOmbF+uAABwvTJM0zSdXcS1KiEhQYGBgTpz5ky29Yydbe/evapYsYhmtHICxufaGJ/rKsyxpaSkaN++fYqMjJS3t3eh9HEll7sN3ApcaXz16tWTYRj68ccfc72PK40vL6wyvov9Xrfyn5sS43N1jM+1WX18+cWVfQAAUOgSEhK0c+dOffzxx9q2bZvef/99Z5cEAIClEfYBAECh2759u5o3b66QkBBNnDgx26MAAACg4BH2AQBAoYuKihJPDgIAUHTcrtwEAAAAAAC4EsI+AAAAAAAWQ9gHABQZbuMGrI3f4wBw7SDsAwAKnaenpyTp3LlzTq4EQGE6/3v8/O95AIDzMEEfAKDQubu7KygoSCdOnJAk+fr6yjCMIq0hLS3N0lcdGZ9rc/Xxmaapc+fO6cSJEwoKCpK7u7uzSwKA6x5hHwBQJEqVKiVJjsBf1DIyMuThYd2/9hifa7PK+IKCghy/1wEAl5eamiovL69CuwDi+n+rAABcgmEYCg8PV1hYmNLT04u8/0OHDqlcuXJF3m9RYXyuzQrj8/T05Io+AOTSoUOHVL9+fUVERGjKlClq06ZNgYd+wj4AoEi5u7s7JRC4u7vL29u7yPstKozPtVl9fACA7GJjY3X8+HHFxsaqXbt2ql+/foGH/ut2gr558+YpMjJS3t7eqlu3rr7++uscbVJTU7P991qQmpqq2bNnX1M1FSTG59oYn+uy8tgkxufqGJ/rsvLYJMbn6hifa7PK+LKysiRJ27dvV7t27dSgQQOtW7euQOZxMUxXng0mj1avXq2+fftq3rx5aty4sRYuXKhXX31Vu3btUkREhKPd4cOHVa5cOR06dEhly5Z1YsX/LyEhQYGBgTpz5owCAgKcXU6BY3yujfG5LiuPTWJ8ro7xuS4rj01ifK6O8bk2Vx/f9u3bVbdu3Rzb3d3dlZmZWSBX+q/LK/szZ87U4MGDdd9996latWqaNWuWypUrp/nz5zu7NAAAAADAdSozM1NSwVzpv+7CflpamrZt26Y2bdpk296mTRt9++23TqoKAAAAAAC7ggj9190EfSdPnlRmZqZKliyZbXvJkiV17NixbNvOf5BHjx7Ntt1ms8lmsxVuoZeQkJCQ7b9Ww/hcG+NzXVYem8T4XB3jc11WHpvE+Fwd43Ntrj6+s2fP5qrdf0N//fr1NX36dLVq1eqK+153z+z/888/KlOmjL799ls1atTIsX3atGlasWKF/vjjD8e2vXv3qlKlSs4oEwAAAACAHKpVq6Zdu3Zdsd11d2U/NDRU7u7uOa7inzhxIsfV/goVKujvv/+Wp6dntkkRnHllHwAAAADg2n7++Wc1a9Ys1+0vnLhv+vTpudrnugv7Xl5eqlu3rtavX6+77rrLsX39+vW68847s7V1c3NTxYoVi7pEAAAAAICFFStWLFftzof8OnXqXPXs/Ndd2JekkSNHqm/fvqpXr54aNWqkRYsW6eDBgxoyZIizSwMAAAAAXOfyE/LPuy7Dfs+ePRUXF6fJkyfr6NGjqlGjhj799FOVL1/e2aUBAAAAAK5TBRHyz7vuJugDAAAAAMCZtm/frrp16zpeX/hMfn5D/nlu+S3S1WRkZOipp55SZGSkfHx8VLFiRU2ePFlZWVmONtHR0apatar8/PwUHBysVq1a6fvvv892nAcffFCVKlWSj4+PSpQooTvvvDPbTP4FXZNpmoqOjlbp0qXl4+OjqKgo/fbbb9mOk5qaqocfflihoaHy8/PTHXfcocOHD+eppoJUoUIFGYaR42fYsGGSpAEDBuR4r2HDhtmOca2OTbry+Fz53EnSkSNHdO+99yokJES+vr665ZZbtG3bNsf7rn7+rjQ+Vz5/0dHROc5NqVKlHO+7+rm70vhc+dz914wZM2QYhh599FHHNlc/fxe62Phc+fzNnz9fN998swICAhQQEKBGjRrps88+c7zv6ufuSuNz5XMn2f9/rF+/vvz9/RUWFqYuXbpo9+7d2dq48jnMzfhc+Rx+9dVX6ty5s0qXLi3DMPTBBx9ke9+Vz5105fG58rm7mIL4u/5a5+Zmj+R16tTR2rVr9f3336tt27b5DvqSJPM6M3XqVDMkJMT8+OOPzX379plvv/22WaxYMXPWrFmONitXrjTXr19v/v333+bOnTvNwYMHmwEBAeaJEyccbRYuXGh++eWX5r59+8xt27aZnTt3NsuVK2dmZGQUSk3PPPOM6e/vb7777rvmr7/+avbs2dMMDw83ExISHG2GDBlililTxly/fr25fft2s3nz5matWrXyVFNBOnHihHn06FHHz/r1601J5hdffGGapmn279/fbNeuXbY2cXFx2Y5xrY7NNK88Plc+d6dOnTLLly9vDhgwwPz+++/Nffv2mRs2bDD37NnjaOPK5y8343Pl8zdx4kTzpptuynZuLvxzzJXPnWleeXyufO4u9MMPP5gVKlQwb775ZnPEiBGO7a5+/s671Phc+fytWbPG/OSTT8zdu3ebu3fvNseNG2d6enqaO3fuNE3T9c/dlcbnyufONE2zbdu25tKlS82dO3eaP//8s9mxY0czIiLCPHv2rKONK5/D3IzPlc/hp59+ao4fP9589913TUnm+++/n+19Vz53pnnl8bnyubuYgvi7/lp16NAhs1SpUmb9+vXNtWvXmllZWQXex3UX9jt27GgOGjQo27auXbua99577yX3OXPmjCnJ3LBhwyXb7Nixw5SULSQUVE1ZWVlmqVKlzGeeecbxfkpKihkYGGguWLDANE3TjI+PNz09Pc0333zT0ebIkSOmm5ubuXbt2quuqTCNGDHCrFSpkuN/6P79+5t33nnnJdu70thMM/v4XP3cjRkzxmzSpMll27jy+bvS+Fz9/E2cONGsVavWJd935XNnmpcfn6ufu/MSExPNypUrm+vXrzebNWuWI+y78vkzzUuPzyrn70LBwcHmq6++apqmNc7df50fnxXP3YkTJ0xJ5pdffunYZqVz+N/xWekcXirsW+Xc/Xd8Vjp35+X37/prXUpKSqGE/POuu9v4mzRpoo0bN+rPP/+UJO3YsUP/+9//1KFDh4u2T0tL06JFixQYGKhatWpdtE1SUpKWLl2qyMhIlStXrsBr2rdvn44dO6Y2bdo49rHZbGrWrJm+/fZbSdK2bduUnp6erU3p0qVVo0YNR5trQVpaml5//XUNGjQo260pmzdvVlhYmKpUqaL7779fJ06ccLznKmOTco7P1c/dmjVrVK9ePd19990KCwtT7dq19corr+Ro56rn70rjc/XzJ0l//fWXSpcurcjISPXq1Ut79+7N9r6rnrvzLjU+K5w7SRo2bJg6duyoVq1aXfR9Vz9/lxqfVc6fJGVmZurNN99UUlKSGjVq5Nju6ufuvP+Oz0rn7rwzZ85IkooXL55tu1XO4X/HZ8Vz+F9WOXf/ZdVzl5+/6691NputYG7Xv4Trbjb+MWPG6MyZM6patapjEoRp06bp/9q786im7vR/4O9AQiKgAUEBQSIuVakWHalLpe52ZIa2LmPd2mJdzhxn3HFacak4Ks7S2mp7XNoK1epIZwQ7Wse6TbTjaKWgjFZrrRWCRcGlYlEQBJ7fH3xzfwSSgMpi4vt1Ts6J934+936e+4QTn8+9uXfcuHEW7T7//HOMHTsWhYWFCAgIwP79++Hr62vRZu3atXj99ddx584ddOrUCfv374ebm1udjyk3NxcA4OfnZ9HPz88PJpNJaePm5gZvb+9qbcz9HwWfffYZ8vPzMXHiRGVZZGQkRo8eDYPBgMzMTCxevBiDBg1Ceno6tFqtw8QGVI/P0XN38eJFrFu3DnPnzsWCBQuQmpqKmTNnQqvV4tVXXwXg2PmrKT5Hz1+vXr2wefNmPPHEE8jLy8Py5cvxzDPP4MyZM/Dx8XHo3AH243P03AFAUlIS0tPTkZaWZnW9o+fPXnzOkL/Tp0+jT58+uHv3Ljw9PbFjxw6EhoYCcPzcAbbjM/8H25FzV5mIYO7cuYiIiECXLl2U5c6QQ8B6fM7w92ePs+TOGmfM3cN+1z/uHrti/9NPP8WWLVvwt7/9DU8++SQyMjIwe/ZstGrVCtHR0Uq7gQMHIiMjA9evX8eHH36Il156CcePH0fLli2VNhMmTMDQoUNx5coVvPXWW3jppZfw3//+Fzqdrl7GVHXWR0RqnAmqTZuGtHHjRkRGRqJVq1bKsjFjxijvu3TpgvDwcBgMBuzevRsjR460ua1HLTbAenyA4+auvLwc4eHhiI+PBwB0794dZ86cwbp165Ri35HzV5v4AMfNX2RkpPK+a9eu6NOnD9q1a4dNmzZh7ty5Dp07wH585pstOWruLl26hFmzZmHfvn02v1McOX+1iQ9w3PwBQMeOHZGRkYH8/HwkJycjOjoahw8fRmhoqEPnzsxWfGaOnLvKpk+fjlOnTuHIkSMWy50hh4Dt+ADnyWFVzpI7e5wpd/X1Xf+4eOwu4//DH/6A+fPnY+zYsejatSteeeUVzJkzBytXrrRo5+Hhgfbt26N3797YuHEj1Go1Nm7caNFGr9ejQ4cO6NevH7Zv345z585hx44ddT4m8x0nq862Xb16VZnJ8vf3R0lJCW7evGmzTWMzmUw4cOAApkyZYrddQEAADAYDvv/+ewCOERtgPT5Hz11AQIByJsqsc+fOyM7OttvHUfJXU3yOnr+qPDw80LVrVyU3VTlS7qypHJ+j5y49PR1Xr15Fjx49oFaroVarcfjwYaxZswZqtRplZWXV+jhS/mqKzzw+R80fALi5uaF9+/YIDw/HypUrERYWhtWrV1tt60i5M7MVn6P/7VU2Y8YM7Ny5E0ajEUFBQXbbOmIObcXnTDmsDUfMnS2PQ+7u97v+cffYFfuFhYXK4w3MXF1dLR5zZ42IoLi4+KHbPMiYQkJC4O/vj/379yvrS0pKcPjwYTzzzDMAgB49ekCj0Vi0uXLlCr755hulTWNLTExEy5Yt8etf/9puuxs3buDSpUsICAgA4BixAdbjc/Tc9e3bt9rjeM6fPw+DwWCzjyPlr6b4HD1/VRUXF+Pbb79VclOVI+XOmsrxOXruBg8ejNOnTyMjI0N5hYeHY8KECcjIyICrq2u1Po6Uv5ria9u2rUPnzxp7/0dwpNzZYo7P0f/2gIpYpk+fjpSUFPz73/9GSEhIjX0cKYc1xecMObwfjpS7mjwOubvf7/rHXr3d+u8RFR0dLYGBgcpj7lJSUsTX11def/11ERG5ffu2xMbGyrFjxyQrK0vS09Nl8uTJotVqlUfK/PDDDxIfHy9paWliMpnk6NGj8uKLL0rz5s0lLy+vzsckUvFYCb1eLykpKXL69GkZN26c1cdoBAUFyYEDB+TEiRMyaNCgR+YxGmVlZRIcHCxvvPGGxfKCggKJiYmRo0ePSmZmphiNRunTp48EBgY6TGwituMTcezcpaamilqtlhUrVsj3338vW7duFXd3d9myZYuIOH7+aopPxLHzFxMTI4cOHZKLFy/KV199JVFRUdK0aVPJyspy+NyJ2I9PxLFzZ03lu9U7Q/6qqvq0AUfOX2xsrHz55ZeSmZkpp06dkgULFoiLi4vs27fPKXJnLz4Rx86diMi0adNEr9fLoUOHLB73VVhYKCKO//dXU3wijp3DgoICOXnypJw8eVIAyKpVq+TkyZNiMpkcPnci9uMTcezcWVMX3/WPs8eu2P/5559l1qxZEhwcLDqdTtq2bSsLFy6U4uJiEREpKiqSESNGSKtWrcTNzU0CAgLkhRdekNTUVGUbOTk5EhkZKS1bthSNRiNBQUEyfvx4OXfuXL2MSaTi0RJLliwRf39/0Wq10q9fPzl9+rTFdoqKimT69OnSvHlzadKkiURFRUl2dvYDjamu7d27VwDId999Z7G8sLBQnnvuOWnRooVoNBoJDg6W6OjoauN+lGMTsR2fiOPnbteuXdKlSxfRarXSqVMn+eCDD5R1zpA/e/GJOHb+zM+a1Wg00qpVKxk5cqScOXNGRJwjd/biE3Hs3FlTuRh2hvxVVbXYd+T8TZo0SQwGg7i5uUmLFi1k8ODBSiHsDLmzF5+IY+dOpOJxZtZeiYmJIuL4OawpPhHHzqHRaLQaX3R0tMPnTsR+fCKOnTtr6uK7/nGmEhFpqKsIiIiIiIiIiKj+PXa/2SciIiIiIiJydiz2iYiIiIiIiJwMi30iIiIiIiIiJ8Nin4iIiIiIiMjJsNgnIiIiIiIicjIs9omIiIiIiIicDIt9IiKiejRgwACoVCrExcU19lAaVVlZGVatWoXu3bvDw8MDKpUKKpUKn332WWMPjYiIyCmx2CciogYXFxenFHseHh64fPmyzbZZWVlK20OHDjXcIKlOzZ49GzExMcjIyEBpaSn8/Pzg5+cHnU5Xq/4TJ05UPgf2Xm3atKnfQGopLi4OcXFxyMrKauyhEBHRY0rd2AMgIqLHW2FhIZYuXYoNGzY09lConhQUFCj5/ctf/oJ58+ZBpVI90LZcXFzQokULm+vtrWtIS5cuBVBxZcejMgFBRESPFxb7RETU6BISEhATE4MnnniisYdC9eDcuXO4d+8eAGDatGkPXOgDQOvWrXm2nIiIqBZ4GT8RETWa1q1b46mnnkJpaSkWLFjQ2MOhelJYWKi89/T0bMSREBERPT5Y7BMRUaNxcXHBypUrAQDJyclITU29r/6Vf89v72xvmzZtoFKp8PHHH9vtbzKZMHXqVAQHB0On06Fdu3ZYtGgR7ty5o/T55ptv8PLLL6N169bQ6XTo0KEDli9frpy5tqekpAR/+tOf8NRTT8HDwwPe3t4YOnQo9uzZU2PfH374ATNmzEDnzp3h6ekJd3d3dO7cGbNnz0Z2drbVPh9//LHF79iNRiOGDx+OgIAAuLq6YuLEiTXut7KysjIkJCRg0KBB8PX1hVarRWBgIEaPHm31fgrm/Q8YMEBZVvn39ZWX16fc3FzMnz8fYWFh0Ov10Ol0aNu2LaZMmYKzZ8/a7HfixAn88Y9/RL9+/WAwGKDT6eDl5YXevXvjz3/+M27fvl2tj/neAmYDBw60eU+Bqvmxxt5n/H7ze/fuXaxZswb9+/eHr68v3Nzc4O/vj+HDh+OLL76wOYaioiK89dZb6NOnD7y9vaHRaNCiRQuEhoYiOjoaycnJNvsSEVEjEiIioga2ZMkSASAGg0FERPr37y8AZODAgdXaZmZmCgABIEaj0ea6zMxMm/szGAwCQBITE232T05OFi8vLwEgzZo1E1dXV2Xds88+KyUlJfL555+Lu7u7ABC9Xi8qlUppM2bMGKv7NscWGxsrzz77rAAQtVqt7Mv8WrJkic3xf/DBB6LRaJS2Wq1WmjRpovy7WbNmsm/fvmr9EhMTleO8evVqZbx6vV40Go1ER0fb3GdV+fn5MmDAAGWfrq6u4uXlZXEM5s2bZ9EnKSlJ/Pz8xNvbW2nj5+envEaMGFHr/UdHR1t8Zmpr165d4unpqexfo9GIh4eH8m83NzfZtGmT1b6V8+Pi4lItZ6GhoZKXl2fRZ+bMmeLn56e08fb2tog5PDxcaVs5P7bY+4zfT37Pnz8vHTp0ULalUqlEr9dbxDNt2rRq+//5558lLCzMop+Xl5eo1Wpl2f3mhIiIGgaLfSIianBVi/2vvvpKKRz27Nlj0bahin0vLy8ZPHiwnDlzRkRECgsLZc2aNUrRv2jRItHr9TJmzBjJysoSEZGCggJZuHChso39+/dX27e52Nfr9aLVamX9+vVSVFQkIiLZ2dnym9/8Run/z3/+s1r/HTt2KEXq/PnzJSsrS8rLy6W8vFzOnTsno0ePVgp+k8lk0ddcDOp0OnF1dZWJEydKdna2iIiUlpbKhQsXbB6zqkaNGqUUx2vWrJE7d+6IiMiVK1dk0qRJSgzr1q2r1tdoNCrrH9SDFPvHjx8XNzc3ASC//e1v5dtvv5XS0lIRETGZTPK73/1OmXz5+uuvq/UfMmSIJCQkiMlkknv37olIxeciJSVFOnbsKABsTljY+sxWVlfFfk35vXnzprRp00YAyKBBg+TLL7+Uu3fvikjFJM6qVauUCZF3333XYh/Lli0TANK8eXNJTk5W+pWVlUlOTo5s3rxZpk6danP8RETUeFjsExFRg6ta7IuIjBgxQgBIt27dpLy8XFneUMX+k08+qRQylb3yyitKm6FDh1qMzcx8xn7y5MnV1pmLfQCycePGauvLysqkX79+ypniyoqLiyUwMNBmX7MXXnhBAMisWbMslpuLQQAycuRIm/1rcvz4cWU7GzZssNrGPBng6+urTGaY1WWx7+LiYnGmvOrr1q1bSp+nn35aAMjixYttbnfmzJkCQF588cX7Gs+PP/4oWq1WVCpVtUkWkYYt9mvK77x585RC3zxpUVVKSoqSv8ptIiMjBYDEx8fb3D4RET2a+Jt9IiJ6JMTHx8PV1RUZGRnYtm1bg+9/zpw50Gq11Zb/8pe/VN7Pnz/f6p3kzW1OnTplc/utW7fGa6+9Vm25i4sLFi1aBAA4e/YsTp8+razbs2cPcnJy4OfnZ7Wv2auvvgoA2Lt3r802sbGxNtfVJCkpCQAQFBSEKVOmWG2zbNkyAMD169exf//+B95XTcrLy5GXl2fzVV5eDgD43//+h6+//hoajQYxMTE2t2c+dgcOHEBZWVmtxxEYGIiwsDCICI4ePfpwQdUBW/kVESQkJAAAYmJioFZbfxDT8OHD0axZM1y/fh3p6enKci8vLwDAlStX6nbARERU7/joPSIieiR06tQJr732Gj766CMsXrwYo0ePhkajabD99+zZ0+pyPz8/5f3TTz9tt83Nmzdtbn/AgAE2HznXr18/qNVqlJaWIi0tDV27dgUAHDlyRNluQECAzW2XlJQAAEwmk9X1TZo0wS9+8Qub/WuSlpYGoOJmcy4u1s8TdO7cGYGBgcjJyUFaWhqef/75B96fPQaDoVaP3jMfu/LycnTs2NFmO3OBf+fOHdy4cQMtW7ZU1pWXlyMpKQlJSUnIyMjAtWvXcPfu3Wrb+PHHH+8zirplL79nz57FTz/9BKDi5oG28gdAueGgyWRCr169AABRUVHYtm0b3n//fVy7dg1jxoxBREQEfH196zgKIiKqayz2iYjokREXF4etW7fi4sWLWL9+PWbMmNFg+27atKnV5ZXPhNbUxt4d+QMDA22u02q18PHxQV5eHq5evaosv3z5MoCKYj4vL8/24P9PUVGR1eU+Pj52i7yamMdkLwag4sx/Tk6ORQyNxXzsysrKanXsAMtHBBYWFiIqKgpGo1FZ5ubmhubNmyuTUD/99BPu3btn8bSGxmAvv+bjAADXrl2r1fYqH4fx48cjNTUV7733njLxAQDt27fHc889h0mTJqFHjx4PMXoiIqovvIyfiIgeGYGBgUqBv3z5cquPNnNUts7q22M+6zxs2DBIxX12anxZ4+rq+lBjN6ttDA8Sa10zH7tOnTrV+thVfgTeihUrYDQa0aRJE7zzzjswmUy4e/cubty4gdzcXOTm5ipnv20d94ZiL7+Vf5qQm5tbq+NQ9ZF97777Lr777jvEx8cjMjISXl5euHDhAtauXYvw8HDMnj27niIjIqKHwWKfiIgeKbGxsfD29sbVq1fx9ttv221b+ay7tcurzW7dulVn43tQ9i71Li4uxo0bNwDA4jJyf39/ALD4HX9jMI/p0qVLdtuZY2zRokW9j6km5mN38eLFBzrzbj6D/eabb2L27NkIDg6uNomRm5v7UGM0f37r87NrPg7Aw32O2rdvj9jYWPzrX//CjRs3cOzYMQwfPhwAsHr1auzcufOhxklERHWPxT4RET1SvLy8MH/+fADA22+/bfeScG9vb+W9rUL0/PnzyM/Pr9MxPojDhw/bPAP8n//8B6WlpQCA8PBwZXnfvn0BADk5Ocpv0BuDeUxGo1G5AV5V586dQ05ODgDb9zZoSOZjV1JSgh07dtx3f/PnqXv37lbXZ2Vl4cKFCzb7mycG7J31N39+r169iuLiYqttjh8/Xqvx2tKlSxc0a9YMwP+fwHhYLi4u6N27N7Zv347g4GAAqNebMhIR0YNhsU9ERI+cmTNnIigoCAUFBVi+fLnNdh4eHmjXrh0AIDk52WqbFStW1MsY71d2djY2bdpUbXl5eTni4+MBVNzkznxzPgB4/vnnlRvzzZo1y+K31NaYb8RW18aOHQugYtLho48+strmzTffBAD4+vpiyJAh9TKO+xEeHq4U6gsXLqzx9+pVj51erwdQcVd/a8wTUraYC2x7E01hYWEAKiYErE1IFBUV4Z133rG7n5qo1WpMmjQJALBp06YaJ42qHgdbkxBAxc8H3NzclPdERPRoYbFPRESPHJ1Oh7i4OADArl277LYdN24cACAhIQFr165VblJ36dIlTJkyBZ9++inc3d3rdby1odfrMW3aNHz44YfKZduXLl3CuHHjlJvAVZ2Y0Ol0WLt2LVQqFU6cOIG+ffti7969yt33ASAzMxMbNmxAz549sXbt2noZe8+ePTFq1CgAwIwZM/D+++8rEw+5ubmYOnUq/vGPfwCoeASfTqerl3HcD5VKhfXr10Or1SI7Oxu9evXC9u3bLSZMcnJysGXLFgwdOhRvvPGGRf9hw4YBqLh3REpKinLlRWZmJsaPH4+///3vFleWVNWlSxcAwNatW21O0gQFBSEiIgIAMHfuXIvH/6Wnp2PIkCF1crPDxYsXo127digtLcWwYcOwatUqi8mPW7du4YsvvkB0dDSeffZZi769evXCzJkzcejQIYufQ1y+fBkzZsxQrm741a9+9dDjJCKiOiZEREQNbMmSJQJADAaDzTalpaXSqVMnAaC8jEZjtXYFBQUSGhqqtHFxcREvLy8BIBqNRrZt2yYGg0EASGJiokXfzMxMpV9mZqbVcRiNRqWNLYmJiTbj6d+/vwCQ2NhYiYiIUMbl7e1tEduiRYtsbn/Lli3i7u6utFWr1eLj4yNardZiG8uXL6/1uO5Xfn6+Eot5DN7e3qJSqZRl8+bNs9q3NsewJtHR0Q8Uy759+8THx0fZv6urq/j4+FgcTwAyZcoUi35ZWVni5+dnEa9er1f+HR8frxyPJUuWVNvvJ598orTVaDQSGBgoBoNB+vbta9Hu5MmT0rRpU6WtTqcTDw8PASB+fn6ye/dum5/R+8nvxYsXJSwszCJmLy8vadasmcWy9u3bW/Qz/+0AEJVKJV5eXsr4zK85c+bUKhdERNSweGafiIgeSa6ursrl7fZ4enriyJEjmDt3LkJCQqBWq6HRaDBq1CgcO3ZMuQS9sbm5ueHgwYOIj49Hx44dUVxcDL1ej8GDB2P37t1YtmyZzb4TJkzAhQsXsGjRIoSHh8PT0xP5+fnQ6XTo1q0bpk+fjgMHDlQ7O12X9Ho9Dh48iI0bN2LAgAFo2rQpbt++DX9/f4waNQpGoxF//etf623/D2ro0KG4cOECVq5ciYiICOj1euTn58PFxQWhoaGYPHkydu7ciffee8+in8FgQFpaGiZPnoxWrVoBqLjSIioqCnv37kVsbKzd/b788sv45JNPEBERAXd3d1y5cgUmk6najRq7deuG1NRUjB07Fi1btkR5eTl8fX3x+9//HhkZGQgNDa2T4xASEoK0tDRs3rwZUVFRCAgIwJ07d1BSUoKQkBCMGDECCQkJOHbsmEW/pKQkLF26FIMHD0ZISAhKSkpw7949GAwGjBkzBgcPHsSqVavqZIxERFS3VCKN/LwYIiIiIiIiIqpTPLNPRERERERE5GRY7BMRERERERE5GRb7RERERERERE6GxT4RERERERGRk2GxT0RERERERORkWOwTERERERERORkW+0REREREREROhsU+ERERERERkZNhsU9ERERERETkZFjsExERERERETkZFvtERERERERETobFPhEREREREZGTYbFPRERERERE5GT+H7TcSGrjM2uqAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n",
    "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n",
    "from mpl_toolkits.axisartist.axislines import SubplotZero\n",
    "from sklearn.metrics import accuracy_score, balanced_accuracy_score, f1_score, confusion_matrix, roc_auc_score, roc_curve, precision_recall_curve\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from IPython.display import HTML, display, clear_output\n",
    "from sklearn.metrics import auc\n",
    "\n",
    "\n",
    "from xgboost import XGBClassifier\n",
    "xgb_model = XGBClassifier(booster='gblinear', learning_rate=0.19)\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "lr_model = LogisticRegression(random_state = 42)        #96.15: ANOVA50 4fold     # 94.13 7fold ANOVA50\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rf_model = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 42) \n",
    "\n",
    "from sklearn.svm import SVC\n",
    "svc_model = SVC(kernel = 'linear', random_state = 42, probability=True) \n",
    "\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "dt_model = DecisionTreeClassifier(criterion = 'entropy', random_state = 42)  \n",
    "\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "nb_model = GaussianNB()  \n",
    "\n",
    "\n",
    "k_values = [25,50,100,150,200,250,300,350,400,450,500,550,600,650,700,750,800,832]\n",
    "\n",
    "# Initialize lists to store the evaluation metrics\n",
    "xgb_accuracy = []\n",
    "lr_accuracy = []\n",
    "svc_accuracy= []\n",
    "rf_accuracy = []\n",
    "nb_accuracy = []\n",
    "dt_accuracy = []\n",
    "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n",
    "# Loop through the k_values and select the top k features using ANOVA\n",
    "for k in k_values[::-1]:\n",
    "    selector = SelectKBest(f_classif, k=k)\n",
    "    X_train_selected = selector.fit_transform(X, y)\n",
    "    # Train an XGBoost model on the selected features\n",
    "    \n",
    "    # Make predictions on the validation set and calculate accuracy\n",
    "    \n",
    "    xgb_accuracy_sc =cross_val_score(xgb_model, X_train_selected, y, cv=kf, scoring='accuracy')\n",
    "    xgb_accuracy.append(xgb_accuracy_sc.mean()*100)\n",
    "\n",
    "    rf_accuracy_sc =cross_val_score(rf_model, X_train_selected, y, cv=kf, scoring='accuracy')\n",
    "    rf_accuracy.append(rf_accuracy_sc.mean()*100)\n",
    "\n",
    "    svc_accuracy_sc =cross_val_score(svc_model, X_train_selected, y, cv=kf, scoring='accuracy')\n",
    "    svc_accuracy.append(svc_accuracy_sc.mean()*100)\n",
    "\n",
    "    lr_accuracy_sc =cross_val_score(lr_model, X_train_selected, y, cv=kf, scoring='accuracy')\n",
    "    lr_accuracy.append(lr_accuracy_sc.mean()*100)\n",
    "\n",
    "    dt_accuracy_sc =cross_val_score(dt_model, X_train_selected, y, cv=kf, scoring='accuracy')\n",
    "    dt_accuracy.append(dt_accuracy_sc.mean()*100)\n",
    "\n",
    "    nb_accuracy_sc =cross_val_score(nb_model, X_train_selected, y, cv=kf, scoring='accuracy')\n",
    "    nb_accuracy.append(nb_accuracy_sc.mean()*100)\n",
    "\n",
    "\n",
    "lw=1\n",
    "# Plot the performance metrics as a function of the number of features\n",
    "matplotlib.rcdefaults()\n",
    "plt.rcParams.update({'xtick.labelsize':10, \n",
    "                     'ytick.labelsize':10,\n",
    "                     'legend.fontsize':12,\n",
    "                     'axes.edgecolor' : 'black',\n",
    "                     'legend.title_fontsize' : 15,\n",
    "                     'figure.figsize': (12,12),\n",
    "                     'axes.labelsize' :18})\n",
    "\n",
    "#fig, ax = plt.subplots()\n",
    "fig = plt.figure(1)\n",
    "ax = SubplotZero(fig, 111)\n",
    "fig.add_subplot(ax)\n",
    "\n",
    "\n",
    "ax.axis['top'].set_visible(False)\n",
    "ax.axis['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_color('black')\n",
    "ax.spines['left'].set_color('black')\n",
    "ax.plot(834, 105, ls=\"\", marker=\"^\", ms=10, color=\"k\", clip_on=False)\n",
    "ax.plot(0, -0.05, ls=\"\", marker=\">\", ms=10, color=\"k\", clip_on=False)\n",
    "ax.set_ylim((-0.05), (105))\n",
    "ax.set_xlim((-0.05), (833))\n",
    "ax.grid(linewidth = 0.4, color='#C3C3C3')\n",
    "ax.set_facecolor('white')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "k_values_x= [833,800,750,700,650,600,550,500,450,400,350,300,250,200,150,100,50]\n",
    "ax.plot(k_values[::-1], xgb_accuracy, color=\"#E53935\", lw=lw, label= \"XGBoost   \")\n",
    "ax.plot(k_values[::-1], svc_accuracy, color=\"#4FC3F7\", lw=lw, label= \"SVC   \")\n",
    "ax.plot(k_values[::-1], lr_accuracy, color=\"#2FFF38\", lw=lw, label= \"LogisticRegression       \")\n",
    "ax.plot(k_values[::-1], rf_accuracy, color=\"#CF7345\", lw=lw, label= \"RandomForest      \")\n",
    "ax.plot(k_values[::-1], dt_accuracy, color=\"#FF1AD5\", lw=lw, label= \"Decision Tree      \")\n",
    "ax.plot(k_values[::-1], nb_accuracy, color=\"#9952FF\", lw=lw, label= \"Naïve Bayes      \")\n",
    "\n",
    "\n",
    "ax.set_xlabel('Number of Features')\n",
    "ax.set_ylabel('Accuracy (%)')\n",
    "\n",
    "ax.set_xticks(k_values_x)\n",
    "ax.invert_xaxis()\n",
    "ax.legend()\n",
    "leg = plt.legend(loc=\"lower center\")\n",
    "plt.savefig(\"performance_per_nfeatures_2.svg\", format=\"svg\", bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  98.18181818181819\n",
      "roc_auc:  100.0\n",
      "f1:  98.66666666666667\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import KFold, cross_val_score\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
    "\n",
    "\n",
    "# import lightgbm as lgb\n",
    "# model = lgb.LGBMClassifier()\n",
    "\n",
    " \n",
    "\n",
    "from xgboost import XGBClassifier\n",
    "model = XGBClassifier(booster='gblinear', learning_rate=0.19)       #learning_rate=0.9 with 833ftrs\n",
    "\n",
    "# from sklearn.ensemble import BaggingClassifier\n",
    "# model = BaggingClassifier()\n",
    "\n",
    "# from sklearn.linear_model import SGDClassifier\n",
    "# # model = SGDClassifier(random_state=42)\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "#model = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 42)           #86.53: ANOVA50      #ANOVA50 7fold: 92\n",
    "\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "#model = DecisionTreeClassifier(criterion = 'entropy', random_state = 42)  \n",
    "\n",
    "from sklearn.svm import SVC\n",
    "#model = SVC(kernel = 'linear', random_state = 42, probability=True)       #72.27      #96.15: ANOVA50 4fold     # 94.13 7fold ANOVA50\n",
    "\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "#model = GaussianNB()         #96.15: ANOVA50 4fold     # 94.13 7fold ANOVA50\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "#model = LogisticRegression(random_state = 42)        #96.15: ANOVA50 4fold     # 94.13 7fold ANOVA50\n",
    "\n",
    "\n",
    "# model.fit(X_train, y_train)\n",
    "# y_pred = model.predict(X_test)\n",
    "# cm = confusion_matrix(y_test, y_pred)\n",
    "# print(cm)\n",
    "# accuracy_score(y_test, y_pred)\n",
    "\n",
    "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n",
    "accuracy = cross_val_score(model, X_reduced, y, cv=kf, scoring='accuracy')\n",
    "print('Accuracy: ', accuracy.mean()*100)\n",
    "auc = cross_val_score(model, X_reduced, y, cv=kf, scoring='roc_auc')\n",
    "print('roc_auc: ', auc.mean()*100)\n",
    "f1 = cross_val_score(model, X_reduced, y, cv=kf, scoring='f1')\n",
    "print('f1: ', f1.mean()*100)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grid Search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n",
      "[21:25:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n",
      "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n",
      "\n",
      "  This could be a false alarm, with some parameters getting used by language bindings but\n",
      "  then being mistakenly passed down to XGBoost core, or some parameter actually being used\n",
      "  but getting flagged wrongly here. Please open an issue if you find any such cases.\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),\n",
       "             estimator=XGBClassifier(base_score=None, booster=None,\n",
       "                                     callbacks=None, colsample_bylevel=None,\n",
       "                                     colsample_bynode=None,\n",
       "                                     colsample_bytree=None,\n",
       "                                     early_stopping_rounds=None,\n",
       "                                     enable_categorical=False, eval_metric=None,\n",
       "                                     gamma=None, gpu_id=None, grow_policy=None,\n",
       "                                     importance_type=None,\n",
       "                                     interaction_constraint...\n",
       "                                     max_leaves=None, min_child_weight=None,\n",
       "                                     missing=nan, monotone_constraints=None,\n",
       "                                     n_estimators=100, n_jobs=None,\n",
       "                                     num_parallel_tree=None, predictor=None,\n",
       "                                     random_state=None, reg_alpha=None,\n",
       "                                     reg_lambda=None, ...),\n",
       "             param_grid={'booster': ['gblinear', 'dart'],\n",
       "                         'gamma': [0, 0.1, 1, 7],\n",
       "                         'learning_rate': [0.5, 0.6, 0.7, 1, 2],\n",
       "                         'max_depth': [2, 3, 4, 7, 10, 15],\n",
       "                         'n_estimators': [1, 10, 30, 50, 70]},\n",
       "             scoring='accuracy')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "\n",
    "# param_grid = {\n",
    "#     'n_estimators': [2,4,6,8,10],\n",
    "   \n",
    "#     'max_depth' : [2,3,5,7],\n",
    "   \n",
    "#     'criterion' : [ \"entropy\"]\n",
    "# }     \n",
    "\n",
    "param_grid = {\n",
    "    'learning_rate': [ 0.5, 0.6, 0.7, 1, 2],\n",
    "    'max_depth': [2,3, 4, 7, 10, 15],\n",
    "   \n",
    "    'gamma': [0, 0.1, 1, 7],\n",
    "\n",
    "    'booster':[\"gblinear\" , \"dart\"],\n",
    "    'n_estimators': [1, 10, 30, 50, 70]\n",
    "}\n",
    "\n",
    "\n",
    "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n",
    "grid_search = GridSearchCV(estimator=model, param_grid=param_grid, cv=kf, scoring='accuracy', refit=True)\n",
    "# refit=True: refit an estimator using the best found parameters on the whole dataset.      # cv: k-fold cross-validation\n",
    "\n",
    "grid_search.fit(X_reduced, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Accuracy: 98.18 %\n",
      "{'booster': 'gblinear', 'gamma': 0, 'learning_rate': 0.5, 'max_depth': 2, 'n_estimators': 50}\n",
      "XGBClassifier(base_score=0.5, booster='gblinear', callbacks=None,\n",
      "              colsample_bylevel=None, colsample_bynode=None,\n",
      "              colsample_bytree=None, early_stopping_rounds=None,\n",
      "              enable_categorical=False, eval_metric=None, gamma=0, gpu_id=-1,\n",
      "              grow_policy=None, importance_type=None,\n",
      "              interaction_constraints=None, learning_rate=0.5, max_bin=None,\n",
      "              max_cat_to_onehot=None, max_delta_step=None, max_depth=2,\n",
      "              max_leaves=None, min_child_weight=None, missing=nan,\n",
      "              monotone_constraints=None, n_estimators=50, n_jobs=0,\n",
      "              num_parallel_tree=None, predictor=None, random_state=0,\n",
      "              reg_alpha=0, reg_lambda=0, ...)\n"
     ]
    }
   ],
   "source": [
    "print(\"Best Accuracy: {:.2f} %\".format(grid_search.best_score_*100))\n",
    "print(grid_search.best_params_)\n",
    "print(grid_search.best_estimator_)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pearson Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Status                           1.000000\n",
       "gamma-glutamylthreonine          0.398611\n",
       "alpha-ketoglutarate              0.382099\n",
       "tauroursodeoxycholate            0.371904\n",
       "serine                           0.370319\n",
       "                                   ...   \n",
       "norfluoxetine                         NaN\n",
       "o-hydroxyatorvastatin lactone         NaN\n",
       "olmesartan                            NaN\n",
       "quetiapine                            NaN\n",
       "valsartan                             NaN\n",
       "Name: Status, Length: 833, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Original Data\n",
    "\n",
    "corr_matrix = data.corr()\n",
    "corr_matrix[\"Status\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Pearson Correlation')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x15000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "corr_matrix[\"Status\"].plot.barh(figsize=(12,150))\n",
    "plt.title('Pearson Correlation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['2-methylbutyrylcarnitine (C5)', '5-bromotryptophan',\n",
       "       'alpha-hydroxyisovalerate', 'creatine', 'cystine',\n",
       "       'isovalerylcarnitine (C5)', 'N-acetylaspartate (NAA)',\n",
       "       'N-acetylthreonine', 'N-delta-acetylornithine',\n",
       "       'N-trimethyl 5-aminovalerate', 'pro-hydroxy-pro', 'sarcosine',\n",
       "       'alpha-CEHC sulfate', 'gulonate*', 'aconitate [cis or trans]',\n",
       "       'diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])*',\n",
       "       'glycerol 3-phosphate', '1-arachidonylglycerol (20:4)',\n",
       "       'palmitoyl-oleoyl-glycerol (16:0/18:1) [2]*', 'suberate (octanedioate)',\n",
       "       'andro steroid monosulfate (1)*',\n",
       "       '1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)*',\n",
       "       '1-(1-enyl-palmitoyl)-GPE (P-16:0)*', '1-oleoylglycerol (18:1)',\n",
       "       '1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)*', '1-stearoyl-GPI (18:0)',\n",
       "       'acetylcarnitine (C2)', 'epiandrosterone sulfate',\n",
       "       'glycerophosphoethanolamine', 'linoleoylcarnitine (C18:2)*',\n",
       "       'oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]*',\n",
       "       'oleoyl-linoleoyl-glycerol (18:1/18:2) [2]', 'palmitoleate (16:1n7)',\n",
       "       'palmitoylcarnitine (C16)', 'sphingomyelin (d18:2/16:0, d18:1/16:1)*',\n",
       "       'sphingomyelin (d18:2/24:2)*', 'stearoylcarnitine (C18)',\n",
       "       '2'-O-methyluridine', 'hypoxanthine', 'N2,N2-dimethylguanosine',\n",
       "       'orotidine', 'gamma-glutamylphenylalanine', 'gamma-glutamylthreonine',\n",
       "       'phenylacetylglutamine', '7-methylurate', 'o-cresol sulfate',\n",
       "       'ferulic acid 4-sulfate', '4-ethylphenylsulfate', 'p-cresol sulfate',\n",
       "       'stachydrine'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols_idxs = selector.get_support(indices=True)\n",
    "features_df_new = data.iloc[:,cols_idxs]\n",
    "features_df_new.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Farbod\\AppData\\Local\\Temp\\ipykernel_8312\\4159012531.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  features_df_new['Status'] = data['Status'].copy()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Status                                                    1.000000\n",
       "gamma-glutamylthreonine                                   0.398611\n",
       "acetylcarnitine (C2)                                      0.282584\n",
       "gamma-glutamylphenylalanine                               0.273366\n",
       "1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)*               0.272594\n",
       "N-acetylthreonine                                         0.252210\n",
       "orotidine                                                 0.244607\n",
       "pro-hydroxy-pro                                           0.212626\n",
       "epiandrosterone sulfate                                   0.202501\n",
       "oleoyl-linoleoyl-glycerol (18:1/18:2) [2]                 0.195522\n",
       "palmitoleate (16:1n7)                                     0.188455\n",
       "p-cresol sulfate                                          0.180942\n",
       "sphingomyelin (d18:2/16:0, d18:1/16:1)*                   0.167889\n",
       "o-cresol sulfate                                          0.157020\n",
       "alpha-hydroxyisovalerate                                  0.155864\n",
       "palmitoyl-oleoyl-glycerol (16:0/18:1) [2]*                0.148649\n",
       "gulonate*                                                 0.145699\n",
       "isovalerylcarnitine (C5)                                  0.135575\n",
       "stearoylcarnitine (C18)                                   0.131743\n",
       "aconitate [cis or trans]                                  0.111244\n",
       "creatine                                                  0.100919\n",
       "hypoxanthine                                              0.097778\n",
       "sarcosine                                                 0.088048\n",
       "suberate (octanedioate)                                   0.084438\n",
       "palmitoylcarnitine (C16)                                  0.083674\n",
       "phenylacetylglutamine                                     0.076456\n",
       "stachydrine                                               0.058326\n",
       "N2,N2-dimethylguanosine                                   0.055028\n",
       "ferulic acid 4-sulfate                                    0.052453\n",
       "4-ethylphenylsulfate                                      0.038647\n",
       "glycerol 3-phosphate                                      0.038014\n",
       "1-oleoylglycerol (18:1)                                   0.035510\n",
       "linoleoylcarnitine (C18:2)*                               0.033059\n",
       "andro steroid monosulfate (1)*                            0.024794\n",
       "N-acetylaspartate (NAA)                                   0.013827\n",
       "5-bromotryptophan                                         0.013497\n",
       "cystine                                                   0.013181\n",
       "7-methylurate                                             0.011589\n",
       "oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]*            -0.011999\n",
       "diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])*           -0.018310\n",
       "alpha-CEHC sulfate                                       -0.095988\n",
       "N-delta-acetylornithine                                  -0.099160\n",
       "sphingomyelin (d18:2/24:2)*                              -0.103365\n",
       "2-methylbutyrylcarnitine (C5)                            -0.119570\n",
       "N-trimethyl 5-aminovalerate                              -0.122214\n",
       "1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)*   -0.124559\n",
       "1-arachidonylglycerol (20:4)                             -0.163492\n",
       "2'-O-methyluridine                                       -0.188818\n",
       "1-stearoyl-GPI (18:0)                                    -0.234448\n",
       "glycerophosphoethanolamine                               -0.294351\n",
       "1-(1-enyl-palmitoyl)-GPE (P-16:0)*                       -0.297307\n",
       "Name: Status, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_df_new['Status'] = data['Status'].copy()\n",
    "corr_matrix = features_df_new.corr()\n",
    "corr_matrix[\"Status\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Pearson Correlation (Selected Features)')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "corr_matrix[\"Status\"].plot.barh(figsize=(12,10))\n",
    "plt.title('Pearson Correlation (Selected Features)')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.9803921568627451\n",
      "f1:  0.9846153846153847\n",
      "roc_auc:  0.9736842105263158\n",
      "recall:  1.0\n",
      "precision:  0.9696969696969697\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[18,  1],\n",
       "       [ 0, 32]], dtype=int64)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_predict\n",
    "from sklearn.metrics import confusion_matrix, f1_score, recall_score, roc_auc_score, precision_score, accuracy_score\n",
    "\n",
    "y_pred = cross_val_predict(model, X_reduced, y, cv=kf)\n",
    "\n",
    "print('Accuracy: ', accuracy_score(y, y_pred))\n",
    "print('f1: ', f1_score(y, y_pred))\n",
    "print('roc_auc: ', roc_auc_score(y, y_pred))\n",
    "print('recall: ', recall_score(y, y_pred))\n",
    "print('precision: ', precision_score(y, y_pred))\n",
    "confusion_matrix(y, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.81818182 0.8        0.9        0.7        0.8       ]\n",
      "Accuracy: 80.36 %\n",
      "[[2 2]\n",
      " [0 7]]\n",
      "F1-score: 0.8750000000000001\n",
      "Precision: 0.7777777777777778\n",
      "Specificity: 0.5\n",
      "Sensitivity: 1.0\n",
      "==========================================================\n",
      "[0.81818182 0.8        0.9        0.7        0.8       ]\n",
      "Accuracy: 80.36 %\n",
      "[[3 1]\n",
      " [1 5]]\n",
      "F1-score: 0.8333333333333334\n",
      "Precision: 0.8333333333333334\n",
      "Specificity: 0.75\n",
      "Sensitivity: 0.8333333333333334\n",
      "==========================================================\n",
      "[0.81818182 0.8        0.9        0.7        0.8       ]\n",
      "Accuracy: 80.36 %\n",
      "[[3 1]\n",
      " [0 6]]\n",
      "F1-score: 0.923076923076923\n",
      "Precision: 0.8571428571428571\n",
      "Specificity: 0.75\n",
      "Sensitivity: 1.0\n",
      "==========================================================\n",
      "[0.81818182 0.8        0.9        0.7        0.8       ]\n",
      "Accuracy: 80.36 %\n",
      "[[2 1]\n",
      " [2 5]]\n",
      "F1-score: 0.7692307692307692\n",
      "Precision: 0.8333333333333334\n",
      "Specificity: 0.6666666666666666\n",
      "Sensitivity: 0.7142857142857143\n",
      "==========================================================\n",
      "[0.81818182 0.8        0.9        0.7        0.8       ]\n",
      "Accuracy: 80.36 %\n",
      "[[3 1]\n",
      " [1 5]]\n",
      "F1-score: 0.8333333333333334\n",
      "Precision: 0.8333333333333334\n",
      "Specificity: 0.75\n",
      "Sensitivity: 0.8333333333333334\n",
      "==========================================================\n",
      "Average:\n",
      "Accuracy: 80.36 %\n",
      "F1-score: 0.8467948717948717\n",
      "Precision: 0.826984126984127\n",
      "Specificity: 0.6833333333333333\n",
      "Sensitivity: 0.8761904761904763\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import statistics as st\n",
    "from sklearn.model_selection import KFold, cross_val_score, cross_val_predict\n",
    "from sklearn.metrics import confusion_matrix, f1_score, precision_score\n",
    "from mlxtend.plotting import plot_confusion_matrix\n",
    "sns.set()\n",
    "\n",
    "\n",
    "maxAccuracy=0\n",
    "sum_tn, sum_tp, sum_fp, sum_fn, sum_spe, sum_f1, sum_pre, sum_sen = 0, 0, 0, 0, 0, 0, 0, 0\n",
    "l =1\n",
    "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n",
    "for train_index, test_index in kf.split(X):\n",
    "      X_train, X_test = X[train_index], X[test_index]\n",
    "      y_train, y_test = y[train_index], y[test_index]\n",
    "      model.fit(X_train, y_train)\n",
    "      y_pred = model.predict(X_test)\n",
    "      cm = confusion_matrix(y_test, model.predict(X_test))\n",
    "      accuracy = cross_val_score(model, X, y, cv=kf, scoring='accuracy')\n",
    "      print(accuracy) \n",
    "      print(\"Accuracy: {:.2f} %\".format(accuracy.mean()*100))\n",
    "      print(cm)\n",
    "\n",
    "\n",
    "      group_counts = [\"{0:0.0f}\".format(value) for value in cm.flatten()]\n",
    "      labels = [f\"{v1}\" for v1 in group_counts]\n",
    "      labels = np.asarray(labels).reshape(2,2)\n",
    "\n",
    "      plt.rcParams.update({'font.size': 26})\n",
    "      \n",
    "      ax = sns.heatmap(cm, annot=labels, fmt='', cmap='Blues', cbar=False)\n",
    "      \n",
    "      ax.set_title('Fold '+ str(l));\n",
    "      ax.set_xlabel('Predicted Values')\n",
    "      ax.set_ylabel('Actual Values')\n",
    "      ax.label_font = {'size':'27'}\n",
    "      \n",
    "      ax.xaxis.set_ticklabels(['0','1'])\n",
    "      ax.yaxis.set_ticklabels(['0','1'])\n",
    "      ax.tick_params(axis='both', which='major', labelsize=13) \n",
    "      \n",
    "      # plt.show()\n",
    "      #ax.figure.savefig(\"Fold_\" + str(l) + \".svg\",  dpi='figure')\n",
    "\n",
    "\n",
    "      f1 = f1_score(y_test, y_pred)\n",
    "      print(f\"F1-score: {f1}\")\n",
    "      sum_f1 += f1 \n",
    "      pre = precision_score(y_test, y_pred)\n",
    "      print(f\"Precision: {pre}\")\n",
    "      sum_pre += pre\n",
    "      tn, fp, fn, tp = cm.ravel()\n",
    "      sum_tn += tn\n",
    "      sum_tp += tp\n",
    "      sum_fn += fn\n",
    "      sum_fp += fp\n",
    "      Specificity =  tn / (tn+fp)\n",
    "      print(f\"Specificity: {Specificity}\")\n",
    "      sum_spe += Specificity\n",
    "      Sensitivity = tp / (fn+tp)\n",
    "      print(f\"Sensitivity: {Sensitivity}\")\n",
    "      sum_sen += Sensitivity\n",
    "      l+=1\n",
    "      print('==========================================================')\n",
    "\n",
    "print('Average:')\n",
    "print(\"Accuracy: {:.2f} %\".format(accuracy.mean()*100))\n",
    "# cm = np.array([[sum_tn, sum_fp], [sum_fn, sum_tp]])\n",
    "# print(cm)\n",
    "print(f\"F1-score: {sum_f1 / 5}\")\n",
    "print(f\"Precision: {sum_pre / 5}\")\n",
    "print(f\"Specificity: {sum_spe / 5}\")\n",
    "print(f\"Sensitivity: {sum_sen / 5}\")\n",
    "\n",
    "\n",
    "group_counts = [\"{0:0.0f}\".format(value) for value in cm.flatten()]\n",
    "labels = [f\"{v1}\" for v1 in group_counts]\n",
    "labels = np.asarray(labels).reshape(2,2)\n",
    "\n",
    "plt.rcParams.update({'font.size': 26})\n",
    "\n",
    "ax = sns.heatmap(cm, annot=labels, fmt='', cmap='Blues', cbar=False)\n",
    "\n",
    "ax.set_title('Overlapped');      \n",
    "ax.set_xlabel('Predicted Values')\n",
    "ax.set_ylabel('Actual Values');\n",
    "\n",
    "ax.xaxis.set_ticklabels(['0','1'])\n",
    "ax.yaxis.set_ticklabels(['0','1'])\n",
    "ax.tick_params(axis='both', which='major', labelsize=13) \n",
    " \n",
    "\n",
    "\n",
    "plt.show()\n",
    "#ax.figure.savefig(\"overlapped.svg\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ROC Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n",
    "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n",
    "from mpl_toolkits.axisartist.axislines import SubplotZero\n",
    "from sklearn.metrics import accuracy_score, balanced_accuracy_score, f1_score, confusion_matrix, roc_auc_score, roc_curve, precision_recall_curve\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from IPython.display import HTML, display, clear_output\n",
    "from sklearn.metrics import auc\n",
    "\n",
    "\n",
    "\n",
    "matplotlib.rcdefaults()\n",
    "plt.rcParams.update({'xtick.labelsize':10, \n",
    "                     'ytick.labelsize':10,\n",
    "                     'legend.fontsize':12,\n",
    "                     'axes.edgecolor' : 'black',\n",
    "                     'legend.title_fontsize' : 15,\n",
    "                     'figure.figsize': (12,12),\n",
    "                     'axes.labelsize' :18})\n",
    "\n",
    "\n",
    "def mplot(y, ax, lw = 1):\n",
    "  f_x, t_x, _ = roc_curve(y, pred1)\n",
    "  f_l, t_l, _ = roc_curve(y, pred2)\n",
    "  f_g, t_g, _ = roc_curve(y, pred3)\n",
    "  f_b, t_b, _ = roc_curve(y, pred4)\n",
    "  f_dt, t_dt, _ = roc_curve(y, pred5)\n",
    "  f_nb, t_nb, _ = roc_curve(y, pred6)\n",
    "\n",
    "  # f_RN51, t_RN51, _ = roc_curve(y, y_prob)\n",
    "\n",
    "  ax.axis['top'].set_visible(False)\n",
    "  ax.axis['right'].set_visible(False)\n",
    "  ax.spines['bottom'].set_color('black')\n",
    "  ax.spines['left'].set_color('black')\n",
    "\n",
    "  ax.plot(f_x, t_x, color=\"#E53935\", lw=lw, label= f\" (AUC = {auc(f_x, t_x):.4f})  XGBoost   \")\n",
    "  ax.plot(f_l, t_l, color=\"#4FC3F7\", lw=lw, label= f\" (AUC = {auc(f_l, t_l):.4f})  SVC   \")\n",
    "  ax.plot(f_g, t_g, color=\"#66BB6A\", lw=lw, label= f\" (AUC = {auc(f_g, t_g):.4f})  LogisticRegression       \")\n",
    "  ax.plot(f_b, t_b, color=\"#CF7345\", lw=lw, label= f\" (AUC = {auc(f_b, t_b):.4f})  RandomForest      \")\n",
    "  ax.plot(f_dt, t_dt, color=\"#FF1AD5\", lw=lw, label= f\" (AUC = {auc(f_dt, t_dt):.4f})  Decision Tree      \")\n",
    "  ax.plot(f_nb, t_nb, color=\"#9952FF\", lw=lw, label= f\" (AUC = {auc(f_nb, t_nb):.4f})  Naïve Bayes      \")\n",
    "\n",
    "  # ax.plot(f_RN51, t_RN51, color=\"#000000\", lw=lw, label= f\" (AUC = {auc(f_RN51, t_RN51):.4f})  Hard Voting         \")\n",
    "  ax.plot([0, 1], [0, 1], color=\"#ECEFF1\", lw=2.5, linestyle=\"--\")\n",
    "\n",
    "  \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statistics as st\n",
    "from sklearn.model_selection import KFold, cross_val_score, cross_val_predict\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#%matplotlib inline\n",
    "\n",
    "# dataset = pd.read_csv('NewDataset.csv')\n",
    "# X = dataset.iloc[:, :-1].values\n",
    "# y = dataset.iloc[:, -1].values\n",
    "\n",
    "# from sklearn.preprocessing import StandardScaler\n",
    "# sc = StandardScaler()\n",
    "# X = sc.fit_transform(X)\n",
    "\n",
    "from xgboost import XGBClassifier\n",
    "model1 = XGBClassifier(booster='gblinear', learning_rate=0.19)\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "model3 = LogisticRegression(random_state = 42)        #96.15: ANOVA50 4fold     # 94.13 7fold ANOVA50\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "model4 = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 42) \n",
    "\n",
    "from sklearn.svm import SVC\n",
    "model2 = SVC(kernel = 'linear', random_state = 42, probability=True)  \n",
    "\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "model5 = DecisionTreeClassifier(criterion = 'entropy', random_state = 42)  \n",
    "\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "model6 = GaussianNB()         #96.15: ANOVA50 4fold     # 94.13 7fold ANOVA50\n",
    "\n",
    "\n",
    "# model2 = lgb.LGBMClassifier()\n",
    "# model1 = XGBClassifier(eta=0.001, gamma=0, n_estimators=94)\n",
    "# model3= GradientBoostingClassifier()\n",
    "# model4 = BaggingClassifier(XGBClassifier(eta=0.001, gamma=0, n_estimators=94))\n",
    "# model = VotingClassifier(estimators=[('lgb', model2),('xgb', model1), ('gb', model3), ('bc', model4)],weights=(6,13,6,1), voting='hard')\n",
    "\n",
    "l =1\n",
    "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n",
    "# for train_index, test_index in kf.split(X):\n",
    "#       X_train, X_test = X[train_index], X[test_index]\n",
    "#       y_train, y_test = y[train_index], y[test_index]\n",
    "#       model.fit(X_train, y_train)\n",
    "#       y_pred += model.predict(X_test)\n",
    "#       accuracy = cross_val_score(model, X_reduced, y, cv=kf, scoring='accuracy')\n",
    "#       print(accuracy) \n",
    "#       print(\"Accuracy: {:.2f} %\".format(accuracy.mean()*100))\n",
    "# y_pred = cross_val_predict(model, X, y, cv=kf)\n",
    "pred11 = cross_val_predict(model1, X_reduced, y, cv=kf)\n",
    "pred22 = cross_val_predict(model2, X_reduced, y, cv=kf)\n",
    "pred33 = cross_val_predict(model3, X_reduced, y, cv=kf)\n",
    "pred44 = cross_val_predict(model4, X_reduced, y, cv=kf)\n",
    "pred55 = cross_val_predict(model5, X_reduced, y, cv=kf)\n",
    "pred66 = cross_val_predict(model6, X_reduced, y, cv=kf)\n",
    "\n",
    "# final_predi = np.array([])\n",
    "# final = np.array([])\n",
    "# for i in range(240):\n",
    "#   final_predi = np.append(final_predi, ( ((13*pred11[i])+(6*pred22[i])+(6*pred33[i])+(pred44[i])) / 26 ) ) \n",
    "#   final = np.append(         final, (           1 if  ((   (13*pred11[i]) + (6*pred22[i]) + (6*pred33[i]) + (pred44[i])          ) / 26 )  > 0.5  else 0            )                     )\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "import sklearn.metrics as metrics\n",
    "# calculate the fpr and tpr for all thresholds of the classification\n",
    "probs1 = cross_val_predict(model1, X_reduced, y, cv=kf, method='predict_proba')\n",
    "probs2 = cross_val_predict(model2, X_reduced, y, cv=kf, method='predict_proba')\n",
    "probs3 = cross_val_predict(model3, X_reduced, y, cv=kf, method='predict_proba')\n",
    "probs4 = cross_val_predict(model4, X_reduced, y, cv=kf, method='predict_proba')\n",
    "probs5 = cross_val_predict(model5, X_reduced, y, cv=kf, method='predict_proba')\n",
    "probs6 = cross_val_predict(model6, X_reduced, y, cv=kf, method='predict_proba')\n",
    "#probs = model1.predict_proba(X)\n",
    "pred1 = probs1[:,1]\n",
    "pred2 = probs2[:,1]\n",
    "pred3 = probs3[:,1]\n",
    "pred4 = probs4[:,1]\n",
    "pred5 = probs5[:,1]\n",
    "pred6 = probs6[:,1]\n",
    "\n",
    "\n",
    "fig = plt.figure(1)\n",
    "ax = SubplotZero(fig, 111)\n",
    "fig.add_subplot(ax)\n",
    "mplot(y, ax)\n",
    "ax.plot(-0.05, 1.05, ls=\"\", marker=\"^\", ms=10, color=\"k\", clip_on=False)\n",
    "ax.plot(1.05, -0.05, ls=\"\", marker=\">\", ms=10, color=\"k\", clip_on=False)\n",
    "ax.set_ylim((-0.05), (1.05))\n",
    "ax.set_xlim((-0.05), (1.05))\n",
    "ax.grid(linewidth = 0.4, color='#C3C3C3')\n",
    "ax.set_facecolor('white')\n",
    "\n",
    "plt.xlabel(\"False Positive Rate\")\n",
    "plt.ylabel(\"True Positive Rate\")\n",
    "leg = plt.legend(loc=\"lower center\", title = f\"ROC curves\")\n",
    "\n",
    "for line in leg.get_lines():\n",
    "    line.set_linewidth(4.0)\n",
    "\n",
    "\n",
    "# axin1 = zoomed_inset_axes(ax, 2.5, loc='right')\n",
    "# mplot(y, axin1, 2)\n",
    "# axin1.plot(0.09, 0.89, ls=\"\", marker=\"^\", ms=10, color=\"k\", clip_on=False)\n",
    "# axin1.plot(0.29, 0.69, ls=\"\", marker=\">\", ms=10, color=\"k\", clip_on=False)\n",
    "# axin1.set_xlim(0.09, 0.29)\n",
    "# axin1.set_ylim(0.69, 0.89)\n",
    "# axin1.grid(linewidth = 0.4, color='#C3C3C3')\n",
    "# axin1.set_facecolor('white')\n",
    "# axin1.spines['bottom'].set_color('black')\n",
    "# axin1.spines['left'].set_color('black')\n",
    "\n",
    "#mark_inset(ax, axin1, loc1=1, loc2=3, fc=\"none\", ec=\"0.9\")\n",
    "\n",
    "\n",
    "# plt.savefig(\"ROC_Curve3.png\", format=\"png\", bbox_inches='tight')\n",
    "plt.savefig(\"ROC_Curve.svg\", format=\"svg\", bbox_inches='tight')\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Brier Score"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Brier score is a common performance metric for evaluating the quality of probabilistic predictions made by a classification model. It measures the mean squared difference between the predicted probabilities and the actual binary outcomes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Brier score: 0.4793\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import brier_score_loss\n",
    "\n",
    "y_prob = cross_val_predict(model, X, y, cv=kf, method='predict_proba')\n",
    "y_prob = y_prob[:, 1]\n",
    "\n",
    "brier_score = brier_score_loss(y, y_prob)\n",
    "print(\"Brier score: {:.4f}\".format(brier_score))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calibration Curve "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A calibration curve is a plot of predicted probabilities against the actual fraction of positive classes in a dataset. It is a useful tool for evaluating the calibration of a classification model, which refers to how well the predicted probabilities reflect the true probabilities of a positive outcome."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.calibration import calibration_curve\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fraction_of_positives, mean_predicted_value = calibration_curve(y, y_prob, n_bins = 10, normalize = True)\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.plot([0, 1], [0, 1],  'k--', label = 'Ideally Calibrated')\n",
    "plt.plot(mean_predicted_value, fraction_of_positives, marker = '.', label = 'LogisticRegression')\n",
    "leg = plt.legend(loc = 'upper left')\n",
    "plt.xlabel('Mean predicted value', fontsize=15)\n",
    "plt.title('LogisticRegression Calibration curve', fontsize=17)\n",
    "plt.ylabel('Ratio of positives', fontsize=15)\n",
    "\n",
    "plt.yticks(fontsize=12)\n",
    "\n",
    "# Set tick label font size\n",
    "plt.tick_params(labelsize=12)\n",
    "plt.grid(linewidth = 0.4, color='#C3C3C3')\n",
    "\n",
    "plt.savefig(\"calibrationcurve_xgb.svg\" , bbox_inches=\"tight\")\n",
    "plt.show()\n",
    " "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SHAP"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SHAP Scatter Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'shap' has no attribute 'Explainer'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32mc:\\Projects\\New folder\\project.ipynb Cell 38\u001b[0m in \u001b[0;36m<cell line: 8>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m model \u001b[39m=\u001b[39m xgb\u001b[39m.\u001b[39mXGBClassifier(booster\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mgblinear\u001b[39m\u001b[39m'\u001b[39m, learning_rate\u001b[39m=\u001b[39m\u001b[39m0.19\u001b[39m)\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m model\u001b[39m.\u001b[39mfit(X_reduced, y)\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m explainer \u001b[39m=\u001b[39m shap\u001b[39m.\u001b[39;49mExplainer(model, X_reduced)\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m \u001b[39m# TrainDataFrame = pd.DataFrame(data = X_train, \u001b[39;00m\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m \u001b[39m#                         columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\u001b[39;00m\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=10'>11</a>\u001b[0m \u001b[39m# TestDataFrame = pd.DataFrame(data = X_test, \u001b[39;00m\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=11'>12</a>\u001b[0m \u001b[39m#                         columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\u001b[39;00m\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m DatasetDataFrame \u001b[39m=\u001b[39m  pd\u001b[39m.\u001b[39mDataFrame(data \u001b[39m=\u001b[39m X_reduced, \n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=13'>14</a>\u001b[0m                         columns \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39m2-methylbutyrylcarnitine (C5)\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m5-bromotryptophan\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=14'>15</a>\u001b[0m        \u001b[39m'\u001b[39m\u001b[39malpha-hydroxyisovalerate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcreatine\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcystine\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=35'>36</a>\u001b[0m        \u001b[39m'\u001b[39m\u001b[39mferulic acid 4-sulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m4-ethylphenylsulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mp-cresol sulfate\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X52sZmlsZQ%3D%3D?line=36'>37</a>\u001b[0m        \u001b[39m'\u001b[39m\u001b[39mstachydrine\u001b[39m\u001b[39m'\u001b[39m])\n",
      "\u001b[1;31mAttributeError\u001b[0m: module 'shap' has no attribute 'Explainer'"
     ]
    }
   ],
   "source": [
    "import shap\n",
    "import matplotlib.pyplot as plt\n",
    "import xgboost as xgb\n",
    "import numpy as np\n",
    "model = xgb.XGBClassifier(booster='gblinear', learning_rate=0.19)\n",
    "model.fit(X_reduced, y)\n",
    "\n",
    "explainer = shap.Explainer(model, X_reduced)\n",
    "# TrainDataFrame = pd.DataFrame(data = X_train, \n",
    "#                         columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n",
    "# TestDataFrame = pd.DataFrame(data = X_test, \n",
    "#                         columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n",
    "DatasetDataFrame =  pd.DataFrame(data = X_reduced, \n",
    "                        columns = ['2-methylbutyrylcarnitine (C5)', '5-bromotryptophan',\n",
    "       'alpha-hydroxyisovalerate', 'creatine', 'cystine',\n",
    "       'isovalerylcarnitine (C5)', 'N-acetylaspartate (NAA)',\n",
    "       'N-acetylthreonine', 'N-delta-acetylornithine',\n",
    "       'N-trimethyl 5-aminovalerate', 'pro-hydroxy-pro', 'sarcosine',\n",
    "       'alpha-CEHC sulfate', 'gulonate*', 'aconitate [cis or trans]',\n",
    "       'diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])*',\n",
    "       'glycerol 3-phosphate', '1-arachidonylglycerol (20:4)',\n",
    "       'palmitoyl-oleoyl-glycerol (16:0/18:1) [2]*', 'suberate (octanedioate)',\n",
    "       'andro steroid monosulfate (1)*',\n",
    "       '1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)*',\n",
    "       '1-(1-enyl-palmitoyl)-GPE (P-16:0)*', '1-oleoylglycerol (18:1)',\n",
    "       '1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)*', '1-stearoyl-GPI (18:0)',\n",
    "       'acetylcarnitine (C2)', 'epiandrosterone sulfate',\n",
    "       'glycerophosphoethanolamine', 'linoleoylcarnitine (C18:2)*',\n",
    "       'oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]*',\n",
    "       'oleoyl-linoleoyl-glycerol (18:1/18:2) [2]', 'palmitoleate (16:1n7)',\n",
    "       'palmitoylcarnitine (C16)', 'sphingomyelin (d18:2/16:0, d18:1/16:1)*',\n",
    "       'sphingomyelin (d18:2/24:2)*', 'stearoylcarnitine (C18)',\n",
    "       \"2'-O-methyluridine\", 'hypoxanthine', 'N2,N2-dimethylguanosine',\n",
    "       'orotidine', 'gamma-glutamylphenylalanine', 'gamma-glutamylthreonine',\n",
    "       'phenylacetylglutamine', '7-methylurate', 'o-cresol sulfate',\n",
    "       'ferulic acid 4-sulfate', '4-ethylphenylsulfate', 'p-cresol sulfate',\n",
    "       'stachydrine'])\n",
    "#print(DatasetDataFrame.count)\n",
    "# shap_values = explainer(TrainDataFrame)\n",
    "\n",
    "## Train\n",
    "# for featureName in ['Solid Percentage','Frother Dosage','Collector', 'Airflow', 'Washing Water', 'Froth Level','SG']:\n",
    "#     plt.figure()   \n",
    "#     shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n",
    "#     plt.savefig('Scatter_Plots_Train\\\\'+featureName+'.pdf', bbox_inches='tight')\n",
    "#     plt.savefig('Scatter_Plots_Train\\\\'+featureName+'.png', bbox_inches='tight')\n",
    "#     plt.close()\n",
    "\n",
    "## Test\n",
    "# shap_values = explainer(TestDataFrame)\n",
    "# for featureName in ['Solid Percentage','Frother Dosage','Collector', 'Airflow', 'Washing Water', 'Froth Level','SG']:\n",
    "#     plt.figure()   \n",
    "#     shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n",
    "#     plt.savefig('Scatter_Plots_Test\\\\'+featureName+'.pdf', bbox_inches='tight')\n",
    "#     plt.savefig('Scatter_Plots_Test\\\\'+featureName+'.png', bbox_inches='tight')\n",
    "#     plt.close()\n",
    "## Whole Dataset\n",
    "shap_values = explainer(DatasetDataFrame)\n",
    "# for featureName in ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)']:\n",
    "#     plt.figure()   \n",
    "#     shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n",
    "#     plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.pdf', bbox_inches='tight')\n",
    "#     plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.png', bbox_inches='tight')\n",
    "#     #plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.eps', bbox_inches='tight',format='eps')\n",
    "    \n",
    "#     plt.close()\n",
    "\n",
    "#for featureName in ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)']:\n",
    "plt.figure()   \n",
    "featureName = 'orotidine'\n",
    "shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n",
    "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.pdf', bbox_inches='tight')\n",
    "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.png', bbox_inches='tight')\n",
    "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.svg', bbox_inches='tight')\n",
    "#plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.eps', bbox_inches='tight',format='eps')\n",
    "\n",
    "print(shap_values[:,featureName].values.shape)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "posx and posy should be finite values\n",
      "posx and posy should be finite values\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x468 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.plots.bar(shap_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2-methylbutyrylcarnitine (C5)</th>\n",
       "      <th>5-bromotryptophan</th>\n",
       "      <th>alpha-hydroxyisovalerate</th>\n",
       "      <th>creatine</th>\n",
       "      <th>cystine</th>\n",
       "      <th>isovalerylcarnitine (C5)</th>\n",
       "      <th>N-acetylaspartate (NAA)</th>\n",
       "      <th>N-acetylthreonine</th>\n",
       "      <th>N-delta-acetylornithine</th>\n",
       "      <th>N-trimethyl 5-aminovalerate</th>\n",
       "      <th>...</th>\n",
       "      <th>orotidine</th>\n",
       "      <th>gamma-glutamylphenylalanine</th>\n",
       "      <th>gamma-glutamylthreonine</th>\n",
       "      <th>phenylacetylglutamine</th>\n",
       "      <th>7-methylurate</th>\n",
       "      <th>o-cresol sulfate</th>\n",
       "      <th>ferulic acid 4-sulfate</th>\n",
       "      <th>4-ethylphenylsulfate</th>\n",
       "      <th>p-cresol sulfate</th>\n",
       "      <th>stachydrine</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.542576</td>\n",
       "      <td>-0.293139</td>\n",
       "      <td>-0.288080</td>\n",
       "      <td>0.688078</td>\n",
       "      <td>0.377437</td>\n",
       "      <td>-0.576673</td>\n",
       "      <td>-0.337930</td>\n",
       "      <td>-0.897691</td>\n",
       "      <td>1.032811</td>\n",
       "      <td>-0.330524</td>\n",
       "      <td>...</td>\n",
       "      <td>0.333506</td>\n",
       "      <td>-0.267687</td>\n",
       "      <td>-1.224637</td>\n",
       "      <td>-0.344916</td>\n",
       "      <td>0.347300</td>\n",
       "      <td>-0.535747</td>\n",
       "      <td>-0.798051</td>\n",
       "      <td>-0.052097</td>\n",
       "      <td>-0.090113</td>\n",
       "      <td>-0.977788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.340873</td>\n",
       "      <td>-0.627154</td>\n",
       "      <td>0.356639</td>\n",
       "      <td>-1.586773</td>\n",
       "      <td>-1.009534</td>\n",
       "      <td>-0.417633</td>\n",
       "      <td>0.091068</td>\n",
       "      <td>-1.474600</td>\n",
       "      <td>-0.814704</td>\n",
       "      <td>-1.373961</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.667155</td>\n",
       "      <td>-0.911381</td>\n",
       "      <td>0.040076</td>\n",
       "      <td>0.797383</td>\n",
       "      <td>-0.118782</td>\n",
       "      <td>0.322001</td>\n",
       "      <td>-0.584960</td>\n",
       "      <td>-0.855181</td>\n",
       "      <td>-0.983521</td>\n",
       "      <td>-0.212440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.534469</td>\n",
       "      <td>-0.565138</td>\n",
       "      <td>-0.486149</td>\n",
       "      <td>-1.645625</td>\n",
       "      <td>0.864911</td>\n",
       "      <td>-1.246499</td>\n",
       "      <td>-1.209814</td>\n",
       "      <td>1.126468</td>\n",
       "      <td>-1.143237</td>\n",
       "      <td>0.634469</td>\n",
       "      <td>...</td>\n",
       "      <td>0.131175</td>\n",
       "      <td>0.313852</td>\n",
       "      <td>0.013446</td>\n",
       "      <td>0.589295</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.791327</td>\n",
       "      <td>-0.910544</td>\n",
       "      <td>-1.045751</td>\n",
       "      <td>-0.944496</td>\n",
       "      <td>-0.632435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.753710</td>\n",
       "      <td>-0.893746</td>\n",
       "      <td>3.311487</td>\n",
       "      <td>0.560470</td>\n",
       "      <td>-0.249494</td>\n",
       "      <td>-0.753670</td>\n",
       "      <td>-1.203073</td>\n",
       "      <td>-0.181177</td>\n",
       "      <td>-1.295795</td>\n",
       "      <td>0.312043</td>\n",
       "      <td>...</td>\n",
       "      <td>0.604664</td>\n",
       "      <td>-0.088887</td>\n",
       "      <td>-0.438065</td>\n",
       "      <td>-0.410447</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>0.327514</td>\n",
       "      <td>1.259316</td>\n",
       "      <td>-0.592873</td>\n",
       "      <td>-0.418351</td>\n",
       "      <td>0.208449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.837987</td>\n",
       "      <td>-0.820368</td>\n",
       "      <td>-0.575060</td>\n",
       "      <td>-0.276813</td>\n",
       "      <td>-0.087038</td>\n",
       "      <td>-0.658370</td>\n",
       "      <td>0.834689</td>\n",
       "      <td>-0.984130</td>\n",
       "      <td>-0.592073</td>\n",
       "      <td>-1.310020</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.855873</td>\n",
       "      <td>-0.735918</td>\n",
       "      <td>-1.035859</td>\n",
       "      <td>-0.542822</td>\n",
       "      <td>-0.394081</td>\n",
       "      <td>-0.492790</td>\n",
       "      <td>-0.196227</td>\n",
       "      <td>-0.705337</td>\n",
       "      <td>-0.189566</td>\n",
       "      <td>1.136677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.841884</td>\n",
       "      <td>-0.572432</td>\n",
       "      <td>-1.073200</td>\n",
       "      <td>-1.438284</td>\n",
       "      <td>0.390584</td>\n",
       "      <td>-0.912548</td>\n",
       "      <td>0.171984</td>\n",
       "      <td>0.726557</td>\n",
       "      <td>0.154166</td>\n",
       "      <td>-0.434197</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.125464</td>\n",
       "      <td>-1.104093</td>\n",
       "      <td>-0.148857</td>\n",
       "      <td>0.712356</td>\n",
       "      <td>-0.076931</td>\n",
       "      <td>0.122030</td>\n",
       "      <td>-0.337999</td>\n",
       "      <td>-0.401953</td>\n",
       "      <td>-0.698265</td>\n",
       "      <td>-1.029030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.950530</td>\n",
       "      <td>-0.503678</td>\n",
       "      <td>1.339452</td>\n",
       "      <td>-0.326342</td>\n",
       "      <td>-1.559419</td>\n",
       "      <td>0.274303</td>\n",
       "      <td>-0.901683</td>\n",
       "      <td>0.447019</td>\n",
       "      <td>0.745030</td>\n",
       "      <td>-1.213988</td>\n",
       "      <td>...</td>\n",
       "      <td>0.258726</td>\n",
       "      <td>-1.071045</td>\n",
       "      <td>-1.353704</td>\n",
       "      <td>5.371158</td>\n",
       "      <td>0.121267</td>\n",
       "      <td>-0.204051</td>\n",
       "      <td>-0.857973</td>\n",
       "      <td>-0.124315</td>\n",
       "      <td>-0.738951</td>\n",
       "      <td>1.495889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.719712</td>\n",
       "      <td>-0.463777</td>\n",
       "      <td>-0.366525</td>\n",
       "      <td>-0.676921</td>\n",
       "      <td>-0.062112</td>\n",
       "      <td>-0.757229</td>\n",
       "      <td>0.142617</td>\n",
       "      <td>-0.566206</td>\n",
       "      <td>-1.484094</td>\n",
       "      <td>-0.034700</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.620487</td>\n",
       "      <td>-1.476207</td>\n",
       "      <td>0.678664</td>\n",
       "      <td>-0.620527</td>\n",
       "      <td>-0.126519</td>\n",
       "      <td>3.813687</td>\n",
       "      <td>-0.791882</td>\n",
       "      <td>-0.899240</td>\n",
       "      <td>-0.437093</td>\n",
       "      <td>-1.153123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.973908</td>\n",
       "      <td>-0.399688</td>\n",
       "      <td>1.383770</td>\n",
       "      <td>-0.758698</td>\n",
       "      <td>-1.603685</td>\n",
       "      <td>0.542557</td>\n",
       "      <td>-0.544105</td>\n",
       "      <td>-1.408086</td>\n",
       "      <td>-0.827848</td>\n",
       "      <td>0.430725</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.545438</td>\n",
       "      <td>-0.890468</td>\n",
       "      <td>0.168302</td>\n",
       "      <td>-0.244048</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>0.939535</td>\n",
       "      <td>-0.868613</td>\n",
       "      <td>-0.802387</td>\n",
       "      <td>-0.725323</td>\n",
       "      <td>-0.627984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.646111</td>\n",
       "      <td>-0.757086</td>\n",
       "      <td>-0.540587</td>\n",
       "      <td>-1.157480</td>\n",
       "      <td>-0.383399</td>\n",
       "      <td>-0.025936</td>\n",
       "      <td>-1.322109</td>\n",
       "      <td>-0.992074</td>\n",
       "      <td>-0.839120</td>\n",
       "      <td>-0.623351</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.009981</td>\n",
       "      <td>-1.043695</td>\n",
       "      <td>-1.083979</td>\n",
       "      <td>-0.360479</td>\n",
       "      <td>-0.644395</td>\n",
       "      <td>0.867229</td>\n",
       "      <td>-0.233458</td>\n",
       "      <td>-0.269882</td>\n",
       "      <td>0.076057</td>\n",
       "      <td>0.169524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-1.013529</td>\n",
       "      <td>-0.761195</td>\n",
       "      <td>-0.834249</td>\n",
       "      <td>-0.451286</td>\n",
       "      <td>-0.678862</td>\n",
       "      <td>-0.810027</td>\n",
       "      <td>-0.952797</td>\n",
       "      <td>-1.043558</td>\n",
       "      <td>-0.465679</td>\n",
       "      <td>-1.024771</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.348150</td>\n",
       "      <td>-1.378285</td>\n",
       "      <td>-1.425436</td>\n",
       "      <td>-0.587715</td>\n",
       "      <td>-0.004563</td>\n",
       "      <td>2.846276</td>\n",
       "      <td>-0.288053</td>\n",
       "      <td>-0.017587</td>\n",
       "      <td>-0.698468</td>\n",
       "      <td>-1.039448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3.406748</td>\n",
       "      <td>0.232900</td>\n",
       "      <td>2.365282</td>\n",
       "      <td>-0.552625</td>\n",
       "      <td>-0.848354</td>\n",
       "      <td>-0.760878</td>\n",
       "      <td>-0.551630</td>\n",
       "      <td>-1.330711</td>\n",
       "      <td>-1.195742</td>\n",
       "      <td>1.202265</td>\n",
       "      <td>...</td>\n",
       "      <td>0.904079</td>\n",
       "      <td>0.261949</td>\n",
       "      <td>0.966831</td>\n",
       "      <td>2.046061</td>\n",
       "      <td>-0.604581</td>\n",
       "      <td>0.742449</td>\n",
       "      <td>-0.614867</td>\n",
       "      <td>-0.681681</td>\n",
       "      <td>-0.216823</td>\n",
       "      <td>0.152921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3.550801</td>\n",
       "      <td>0.256685</td>\n",
       "      <td>2.553644</td>\n",
       "      <td>-0.189363</td>\n",
       "      <td>-1.084026</td>\n",
       "      <td>-0.205517</td>\n",
       "      <td>0.042827</td>\n",
       "      <td>-0.379963</td>\n",
       "      <td>1.759290</td>\n",
       "      <td>0.881724</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.433815</td>\n",
       "      <td>-0.835774</td>\n",
       "      <td>-0.432810</td>\n",
       "      <td>-0.358964</td>\n",
       "      <td>-0.101124</td>\n",
       "      <td>0.591400</td>\n",
       "      <td>-0.961086</td>\n",
       "      <td>-1.150798</td>\n",
       "      <td>-0.976565</td>\n",
       "      <td>-0.700630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.681127</td>\n",
       "      <td>0.559894</td>\n",
       "      <td>1.612028</td>\n",
       "      <td>0.381288</td>\n",
       "      <td>0.438959</td>\n",
       "      <td>0.043843</td>\n",
       "      <td>-1.249611</td>\n",
       "      <td>-0.655431</td>\n",
       "      <td>-0.491200</td>\n",
       "      <td>-1.412636</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.483397</td>\n",
       "      <td>0.660442</td>\n",
       "      <td>-0.264486</td>\n",
       "      <td>0.728831</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>0.426127</td>\n",
       "      <td>-0.395389</td>\n",
       "      <td>-0.612480</td>\n",
       "      <td>-0.551012</td>\n",
       "      <td>-0.377193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.658624</td>\n",
       "      <td>-0.467680</td>\n",
       "      <td>-0.662275</td>\n",
       "      <td>-1.524474</td>\n",
       "      <td>-1.603439</td>\n",
       "      <td>-1.021942</td>\n",
       "      <td>-0.884750</td>\n",
       "      <td>0.345352</td>\n",
       "      <td>-0.259991</td>\n",
       "      <td>-1.491051</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.379535</td>\n",
       "      <td>-1.422184</td>\n",
       "      <td>-1.338770</td>\n",
       "      <td>2.425141</td>\n",
       "      <td>-0.395687</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>0.226804</td>\n",
       "      <td>-0.400889</td>\n",
       "      <td>-0.639516</td>\n",
       "      <td>-1.402058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.066680</td>\n",
       "      <td>-0.255615</td>\n",
       "      <td>1.674881</td>\n",
       "      <td>0.746921</td>\n",
       "      <td>0.003100</td>\n",
       "      <td>-0.015905</td>\n",
       "      <td>-0.541808</td>\n",
       "      <td>-0.518430</td>\n",
       "      <td>-0.049078</td>\n",
       "      <td>-0.921801</td>\n",
       "      <td>...</td>\n",
       "      <td>0.631001</td>\n",
       "      <td>0.375220</td>\n",
       "      <td>-0.444561</td>\n",
       "      <td>-0.359825</td>\n",
       "      <td>-0.323845</td>\n",
       "      <td>0.412962</td>\n",
       "      <td>-0.663234</td>\n",
       "      <td>-0.176741</td>\n",
       "      <td>-0.591178</td>\n",
       "      <td>-1.243901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.109534</td>\n",
       "      <td>-0.832288</td>\n",
       "      <td>-0.617388</td>\n",
       "      <td>-1.063756</td>\n",
       "      <td>-1.027828</td>\n",
       "      <td>0.846459</td>\n",
       "      <td>1.273421</td>\n",
       "      <td>-1.038762</td>\n",
       "      <td>-1.054813</td>\n",
       "      <td>-0.133875</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.544529</td>\n",
       "      <td>-0.012542</td>\n",
       "      <td>-1.005845</td>\n",
       "      <td>-0.623117</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.278993</td>\n",
       "      <td>-0.961086</td>\n",
       "      <td>-0.196883</td>\n",
       "      <td>0.099634</td>\n",
       "      <td>-1.017337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1.235532</td>\n",
       "      <td>0.075950</td>\n",
       "      <td>1.180378</td>\n",
       "      <td>0.607025</td>\n",
       "      <td>-0.323699</td>\n",
       "      <td>-0.846024</td>\n",
       "      <td>0.000759</td>\n",
       "      <td>0.623127</td>\n",
       "      <td>-0.201743</td>\n",
       "      <td>0.345521</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.395213</td>\n",
       "      <td>-0.509272</td>\n",
       "      <td>0.134856</td>\n",
       "      <td>-0.606290</td>\n",
       "      <td>-0.085571</td>\n",
       "      <td>0.618197</td>\n",
       "      <td>0.524094</td>\n",
       "      <td>-0.289391</td>\n",
       "      <td>0.762557</td>\n",
       "      <td>-0.426524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.240341</td>\n",
       "      <td>-0.751254</td>\n",
       "      <td>-0.321818</td>\n",
       "      <td>1.255535</td>\n",
       "      <td>0.756886</td>\n",
       "      <td>-0.790326</td>\n",
       "      <td>-0.658539</td>\n",
       "      <td>0.105662</td>\n",
       "      <td>-0.862340</td>\n",
       "      <td>-1.238765</td>\n",
       "      <td>...</td>\n",
       "      <td>1.738417</td>\n",
       "      <td>0.307172</td>\n",
       "      <td>-0.449450</td>\n",
       "      <td>0.854302</td>\n",
       "      <td>-0.261458</td>\n",
       "      <td>-0.158201</td>\n",
       "      <td>0.005621</td>\n",
       "      <td>0.487077</td>\n",
       "      <td>-0.232890</td>\n",
       "      <td>-0.621285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.262438</td>\n",
       "      <td>-0.311625</td>\n",
       "      <td>-0.677677</td>\n",
       "      <td>0.144447</td>\n",
       "      <td>-0.510041</td>\n",
       "      <td>0.602247</td>\n",
       "      <td>-0.363457</td>\n",
       "      <td>-0.706157</td>\n",
       "      <td>-0.357957</td>\n",
       "      <td>-1.311498</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.514745</td>\n",
       "      <td>-0.243001</td>\n",
       "      <td>0.490011</td>\n",
       "      <td>-0.606077</td>\n",
       "      <td>1.108413</td>\n",
       "      <td>-0.681096</td>\n",
       "      <td>0.887102</td>\n",
       "      <td>-0.861383</td>\n",
       "      <td>-0.884697</td>\n",
       "      <td>-0.837280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.471817</td>\n",
       "      <td>-0.521288</td>\n",
       "      <td>0.843382</td>\n",
       "      <td>2.074873</td>\n",
       "      <td>-0.422731</td>\n",
       "      <td>0.106427</td>\n",
       "      <td>3.403259</td>\n",
       "      <td>1.518650</td>\n",
       "      <td>0.986548</td>\n",
       "      <td>0.087831</td>\n",
       "      <td>...</td>\n",
       "      <td>0.529945</td>\n",
       "      <td>-1.052982</td>\n",
       "      <td>0.533252</td>\n",
       "      <td>-0.615876</td>\n",
       "      <td>2.081206</td>\n",
       "      <td>1.400630</td>\n",
       "      <td>0.475662</td>\n",
       "      <td>3.364360</td>\n",
       "      <td>-0.724847</td>\n",
       "      <td>-0.242266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.463925</td>\n",
       "      <td>-0.628320</td>\n",
       "      <td>-0.075290</td>\n",
       "      <td>-1.714332</td>\n",
       "      <td>-1.396035</td>\n",
       "      <td>2.186924</td>\n",
       "      <td>-0.968876</td>\n",
       "      <td>0.410169</td>\n",
       "      <td>-0.116101</td>\n",
       "      <td>0.039235</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.561384</td>\n",
       "      <td>-0.407003</td>\n",
       "      <td>-0.605232</td>\n",
       "      <td>-0.576663</td>\n",
       "      <td>0.063253</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>0.518543</td>\n",
       "      <td>0.104399</td>\n",
       "      <td>-0.703418</td>\n",
       "      <td>1.082406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.734555</td>\n",
       "      <td>0.176015</td>\n",
       "      <td>-0.491739</td>\n",
       "      <td>1.107521</td>\n",
       "      <td>-0.252350</td>\n",
       "      <td>-0.568398</td>\n",
       "      <td>-0.242876</td>\n",
       "      <td>-0.400069</td>\n",
       "      <td>-1.043042</td>\n",
       "      <td>0.368351</td>\n",
       "      <td>...</td>\n",
       "      <td>0.087743</td>\n",
       "      <td>1.335276</td>\n",
       "      <td>0.422687</td>\n",
       "      <td>-0.390812</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.734411</td>\n",
       "      <td>-0.108154</td>\n",
       "      <td>0.269686</td>\n",
       "      <td>0.851559</td>\n",
       "      <td>-0.054168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-0.396529</td>\n",
       "      <td>1.464689</td>\n",
       "      <td>-0.412523</td>\n",
       "      <td>1.848704</td>\n",
       "      <td>1.395925</td>\n",
       "      <td>-0.987062</td>\n",
       "      <td>1.325571</td>\n",
       "      <td>1.517958</td>\n",
       "      <td>1.049290</td>\n",
       "      <td>0.576621</td>\n",
       "      <td>...</td>\n",
       "      <td>1.044446</td>\n",
       "      <td>-0.297422</td>\n",
       "      <td>1.744550</td>\n",
       "      <td>0.767925</td>\n",
       "      <td>0.204934</td>\n",
       "      <td>-0.353973</td>\n",
       "      <td>-0.449933</td>\n",
       "      <td>0.599318</td>\n",
       "      <td>2.000761</td>\n",
       "      <td>2.181512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1.360644</td>\n",
       "      <td>-0.635216</td>\n",
       "      <td>0.613859</td>\n",
       "      <td>0.459088</td>\n",
       "      <td>0.566722</td>\n",
       "      <td>-0.568980</td>\n",
       "      <td>0.587061</td>\n",
       "      <td>0.028963</td>\n",
       "      <td>-0.642670</td>\n",
       "      <td>1.770440</td>\n",
       "      <td>...</td>\n",
       "      <td>0.882991</td>\n",
       "      <td>0.203448</td>\n",
       "      <td>1.463379</td>\n",
       "      <td>-0.072153</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.129421</td>\n",
       "      <td>2.165283</td>\n",
       "      <td>-0.259605</td>\n",
       "      <td>-0.358982</td>\n",
       "      <td>1.965989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-0.206434</td>\n",
       "      <td>-0.699832</td>\n",
       "      <td>-0.274952</td>\n",
       "      <td>1.181301</td>\n",
       "      <td>1.560711</td>\n",
       "      <td>1.671320</td>\n",
       "      <td>0.802179</td>\n",
       "      <td>-1.154701</td>\n",
       "      <td>0.361941</td>\n",
       "      <td>0.092407</td>\n",
       "      <td>...</td>\n",
       "      <td>0.118604</td>\n",
       "      <td>0.983867</td>\n",
       "      <td>1.828934</td>\n",
       "      <td>-0.475985</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>0.427815</td>\n",
       "      <td>0.194412</td>\n",
       "      <td>1.329628</td>\n",
       "      <td>2.173420</td>\n",
       "      <td>-0.223650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.147337</td>\n",
       "      <td>-0.214833</td>\n",
       "      <td>-1.169688</td>\n",
       "      <td>-1.541117</td>\n",
       "      <td>-1.114438</td>\n",
       "      <td>0.934253</td>\n",
       "      <td>0.055620</td>\n",
       "      <td>-1.010795</td>\n",
       "      <td>0.691651</td>\n",
       "      <td>-1.088071</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.319096</td>\n",
       "      <td>3.439666</td>\n",
       "      <td>0.559807</td>\n",
       "      <td>-0.635268</td>\n",
       "      <td>0.566698</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>-0.546682</td>\n",
       "      <td>-0.626809</td>\n",
       "      <td>-0.532961</td>\n",
       "      <td>1.710016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.696543</td>\n",
       "      <td>1.001379</td>\n",
       "      <td>0.920440</td>\n",
       "      <td>-0.373029</td>\n",
       "      <td>-2.035875</td>\n",
       "      <td>-1.337297</td>\n",
       "      <td>-1.292962</td>\n",
       "      <td>-0.604507</td>\n",
       "      <td>1.480301</td>\n",
       "      <td>-1.304220</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011739</td>\n",
       "      <td>0.644981</td>\n",
       "      <td>-1.452617</td>\n",
       "      <td>-0.511047</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>-0.698198</td>\n",
       "      <td>1.744309</td>\n",
       "      <td>0.511322</td>\n",
       "      <td>-1.155898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-0.367693</td>\n",
       "      <td>0.057262</td>\n",
       "      <td>-0.841961</td>\n",
       "      <td>-0.043545</td>\n",
       "      <td>0.885225</td>\n",
       "      <td>-0.244925</td>\n",
       "      <td>1.661772</td>\n",
       "      <td>0.879692</td>\n",
       "      <td>-0.691823</td>\n",
       "      <td>0.059284</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008701</td>\n",
       "      <td>1.087948</td>\n",
       "      <td>1.465376</td>\n",
       "      <td>-0.433844</td>\n",
       "      <td>1.488365</td>\n",
       "      <td>-0.422281</td>\n",
       "      <td>-0.129534</td>\n",
       "      <td>-0.467599</td>\n",
       "      <td>0.254703</td>\n",
       "      <td>-0.631534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.021144</td>\n",
       "      <td>0.495246</td>\n",
       "      <td>-0.334471</td>\n",
       "      <td>-0.543423</td>\n",
       "      <td>-0.053711</td>\n",
       "      <td>0.541019</td>\n",
       "      <td>2.589024</td>\n",
       "      <td>1.229289</td>\n",
       "      <td>-0.342049</td>\n",
       "      <td>0.655629</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.693493</td>\n",
       "      <td>1.198568</td>\n",
       "      <td>0.403765</td>\n",
       "      <td>-0.444556</td>\n",
       "      <td>0.364570</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>1.908849</td>\n",
       "      <td>1.169097</td>\n",
       "      <td>-0.368149</td>\n",
       "      <td>0.764212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-0.609148</td>\n",
       "      <td>-0.728126</td>\n",
       "      <td>-0.577755</td>\n",
       "      <td>0.050314</td>\n",
       "      <td>-0.333457</td>\n",
       "      <td>-0.363633</td>\n",
       "      <td>-0.209879</td>\n",
       "      <td>1.609802</td>\n",
       "      <td>0.344373</td>\n",
       "      <td>1.377689</td>\n",
       "      <td>...</td>\n",
       "      <td>0.745426</td>\n",
       "      <td>0.658524</td>\n",
       "      <td>0.137013</td>\n",
       "      <td>0.196456</td>\n",
       "      <td>2.965494</td>\n",
       "      <td>0.191442</td>\n",
       "      <td>-0.961086</td>\n",
       "      <td>0.022827</td>\n",
       "      <td>-0.117178</td>\n",
       "      <td>-1.000129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.205949</td>\n",
       "      <td>-0.690864</td>\n",
       "      <td>0.237911</td>\n",
       "      <td>0.006780</td>\n",
       "      <td>-0.480466</td>\n",
       "      <td>0.680694</td>\n",
       "      <td>-1.205433</td>\n",
       "      <td>-0.293095</td>\n",
       "      <td>-0.781745</td>\n",
       "      <td>-0.177691</td>\n",
       "      <td>...</td>\n",
       "      <td>0.227996</td>\n",
       "      <td>-0.694610</td>\n",
       "      <td>0.459392</td>\n",
       "      <td>-0.437001</td>\n",
       "      <td>-0.504623</td>\n",
       "      <td>0.556966</td>\n",
       "      <td>-0.551896</td>\n",
       "      <td>1.186715</td>\n",
       "      <td>1.359648</td>\n",
       "      <td>2.602704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>-0.355744</td>\n",
       "      <td>3.444473</td>\n",
       "      <td>-0.584353</td>\n",
       "      <td>-1.422758</td>\n",
       "      <td>0.681552</td>\n",
       "      <td>0.211409</td>\n",
       "      <td>0.657309</td>\n",
       "      <td>1.756543</td>\n",
       "      <td>0.004230</td>\n",
       "      <td>1.189040</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.072843</td>\n",
       "      <td>1.533076</td>\n",
       "      <td>1.184967</td>\n",
       "      <td>0.694464</td>\n",
       "      <td>-0.361992</td>\n",
       "      <td>0.186154</td>\n",
       "      <td>-0.961086</td>\n",
       "      <td>-1.760286</td>\n",
       "      <td>-0.878966</td>\n",
       "      <td>-0.260169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>-0.175160</td>\n",
       "      <td>-0.215023</td>\n",
       "      <td>0.550539</td>\n",
       "      <td>0.810612</td>\n",
       "      <td>-0.566301</td>\n",
       "      <td>-0.841742</td>\n",
       "      <td>0.100538</td>\n",
       "      <td>0.078503</td>\n",
       "      <td>-0.094503</td>\n",
       "      <td>-0.796111</td>\n",
       "      <td>...</td>\n",
       "      <td>0.404394</td>\n",
       "      <td>-0.174336</td>\n",
       "      <td>0.699999</td>\n",
       "      <td>-0.420293</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.451800</td>\n",
       "      <td>-0.631255</td>\n",
       "      <td>-0.907290</td>\n",
       "      <td>0.024983</td>\n",
       "      <td>-0.810768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>-1.016593</td>\n",
       "      <td>-0.318600</td>\n",
       "      <td>-0.855323</td>\n",
       "      <td>-0.973988</td>\n",
       "      <td>0.199608</td>\n",
       "      <td>-1.024268</td>\n",
       "      <td>0.711719</td>\n",
       "      <td>-0.553632</td>\n",
       "      <td>0.059500</td>\n",
       "      <td>-1.125769</td>\n",
       "      <td>...</td>\n",
       "      <td>0.310603</td>\n",
       "      <td>-0.605744</td>\n",
       "      <td>-0.968340</td>\n",
       "      <td>-0.007441</td>\n",
       "      <td>-0.026581</td>\n",
       "      <td>2.245407</td>\n",
       "      <td>0.530890</td>\n",
       "      <td>-1.165487</td>\n",
       "      <td>-1.083275</td>\n",
       "      <td>-1.032434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>-0.596590</td>\n",
       "      <td>0.070717</td>\n",
       "      <td>-0.502772</td>\n",
       "      <td>-0.677928</td>\n",
       "      <td>0.101324</td>\n",
       "      <td>-0.436817</td>\n",
       "      <td>-0.321939</td>\n",
       "      <td>-0.104066</td>\n",
       "      <td>0.036332</td>\n",
       "      <td>0.657622</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.186449</td>\n",
       "      <td>-0.032154</td>\n",
       "      <td>-0.180457</td>\n",
       "      <td>0.152208</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>-0.140776</td>\n",
       "      <td>-0.118888</td>\n",
       "      <td>-0.467734</td>\n",
       "      <td>-0.972649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>-0.179313</td>\n",
       "      <td>-0.152866</td>\n",
       "      <td>-0.144055</td>\n",
       "      <td>1.237940</td>\n",
       "      <td>-1.420017</td>\n",
       "      <td>0.585453</td>\n",
       "      <td>-0.500711</td>\n",
       "      <td>-0.199223</td>\n",
       "      <td>-0.041748</td>\n",
       "      <td>-1.540376</td>\n",
       "      <td>...</td>\n",
       "      <td>1.189968</td>\n",
       "      <td>-1.401435</td>\n",
       "      <td>-1.694425</td>\n",
       "      <td>-0.407680</td>\n",
       "      <td>-0.532132</td>\n",
       "      <td>0.882759</td>\n",
       "      <td>-0.790354</td>\n",
       "      <td>-0.367391</td>\n",
       "      <td>-0.720765</td>\n",
       "      <td>0.014203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>-0.550955</td>\n",
       "      <td>-0.692843</td>\n",
       "      <td>-0.551436</td>\n",
       "      <td>0.595484</td>\n",
       "      <td>0.453944</td>\n",
       "      <td>3.193188</td>\n",
       "      <td>-0.159234</td>\n",
       "      <td>0.055364</td>\n",
       "      <td>-0.238482</td>\n",
       "      <td>0.360768</td>\n",
       "      <td>...</td>\n",
       "      <td>0.958380</td>\n",
       "      <td>1.097068</td>\n",
       "      <td>-0.603176</td>\n",
       "      <td>-0.455800</td>\n",
       "      <td>1.055413</td>\n",
       "      <td>-0.869426</td>\n",
       "      <td>-0.943370</td>\n",
       "      <td>0.266982</td>\n",
       "      <td>-0.714245</td>\n",
       "      <td>0.823054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>-0.346549</td>\n",
       "      <td>-0.163594</td>\n",
       "      <td>0.263191</td>\n",
       "      <td>0.605877</td>\n",
       "      <td>1.027290</td>\n",
       "      <td>-1.199004</td>\n",
       "      <td>-0.571681</td>\n",
       "      <td>0.311402</td>\n",
       "      <td>-0.064933</td>\n",
       "      <td>-0.751681</td>\n",
       "      <td>...</td>\n",
       "      <td>1.479839</td>\n",
       "      <td>-0.080892</td>\n",
       "      <td>0.008051</td>\n",
       "      <td>-0.371746</td>\n",
       "      <td>-0.230857</td>\n",
       "      <td>0.373862</td>\n",
       "      <td>-0.607883</td>\n",
       "      <td>-0.154010</td>\n",
       "      <td>-0.220136</td>\n",
       "      <td>0.185462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>-0.587997</td>\n",
       "      <td>-0.634703</td>\n",
       "      <td>-0.785522</td>\n",
       "      <td>-1.114263</td>\n",
       "      <td>-0.429382</td>\n",
       "      <td>0.389013</td>\n",
       "      <td>0.330032</td>\n",
       "      <td>-0.206128</td>\n",
       "      <td>1.680014</td>\n",
       "      <td>1.278558</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.593334</td>\n",
       "      <td>0.439736</td>\n",
       "      <td>0.834816</td>\n",
       "      <td>-0.733135</td>\n",
       "      <td>1.139196</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>2.261385</td>\n",
       "      <td>0.090003</td>\n",
       "      <td>3.095708</td>\n",
       "      <td>0.617827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>-0.321702</td>\n",
       "      <td>2.014898</td>\n",
       "      <td>-0.481048</td>\n",
       "      <td>1.618412</td>\n",
       "      <td>0.930811</td>\n",
       "      <td>1.108705</td>\n",
       "      <td>0.196288</td>\n",
       "      <td>-0.637434</td>\n",
       "      <td>1.554547</td>\n",
       "      <td>0.940946</td>\n",
       "      <td>...</td>\n",
       "      <td>1.359717</td>\n",
       "      <td>0.448359</td>\n",
       "      <td>0.980239</td>\n",
       "      <td>-0.208027</td>\n",
       "      <td>1.945672</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>1.258251</td>\n",
       "      <td>0.750014</td>\n",
       "      <td>2.710801</td>\n",
       "      <td>1.856340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>-0.356998</td>\n",
       "      <td>-0.944502</td>\n",
       "      <td>-0.855377</td>\n",
       "      <td>0.820325</td>\n",
       "      <td>-0.116708</td>\n",
       "      <td>0.795669</td>\n",
       "      <td>-1.121996</td>\n",
       "      <td>1.077374</td>\n",
       "      <td>-0.337519</td>\n",
       "      <td>-1.200961</td>\n",
       "      <td>...</td>\n",
       "      <td>1.331601</td>\n",
       "      <td>0.659628</td>\n",
       "      <td>-1.009229</td>\n",
       "      <td>-0.117866</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>0.018082</td>\n",
       "      <td>3.277144</td>\n",
       "      <td>0.339225</td>\n",
       "      <td>-0.133391</td>\n",
       "      <td>-0.301537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>-1.028137</td>\n",
       "      <td>0.116833</td>\n",
       "      <td>-0.923705</td>\n",
       "      <td>1.093867</td>\n",
       "      <td>1.532907</td>\n",
       "      <td>-0.990608</td>\n",
       "      <td>-1.271548</td>\n",
       "      <td>0.575351</td>\n",
       "      <td>-1.057363</td>\n",
       "      <td>1.457336</td>\n",
       "      <td>...</td>\n",
       "      <td>1.442154</td>\n",
       "      <td>-0.186926</td>\n",
       "      <td>0.207915</td>\n",
       "      <td>-0.224794</td>\n",
       "      <td>-0.926353</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>0.414907</td>\n",
       "      <td>-0.292549</td>\n",
       "      <td>0.423594</td>\n",
       "      <td>1.481076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>-0.746125</td>\n",
       "      <td>-0.171945</td>\n",
       "      <td>-0.465275</td>\n",
       "      <td>0.428447</td>\n",
       "      <td>0.588694</td>\n",
       "      <td>-0.393417</td>\n",
       "      <td>0.993917</td>\n",
       "      <td>-0.329945</td>\n",
       "      <td>2.984302</td>\n",
       "      <td>-0.589341</td>\n",
       "      <td>...</td>\n",
       "      <td>1.006214</td>\n",
       "      <td>-1.050368</td>\n",
       "      <td>-0.152600</td>\n",
       "      <td>-0.103163</td>\n",
       "      <td>-0.271025</td>\n",
       "      <td>-0.109770</td>\n",
       "      <td>0.173772</td>\n",
       "      <td>-0.677626</td>\n",
       "      <td>-0.329691</td>\n",
       "      <td>-0.582831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>-0.993310</td>\n",
       "      <td>-0.392473</td>\n",
       "      <td>-0.716049</td>\n",
       "      <td>0.271083</td>\n",
       "      <td>0.924772</td>\n",
       "      <td>-1.143467</td>\n",
       "      <td>-0.127662</td>\n",
       "      <td>-0.079873</td>\n",
       "      <td>0.722754</td>\n",
       "      <td>0.424145</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.561770</td>\n",
       "      <td>0.132058</td>\n",
       "      <td>0.045847</td>\n",
       "      <td>-0.538226</td>\n",
       "      <td>0.232658</td>\n",
       "      <td>-0.912079</td>\n",
       "      <td>-0.458297</td>\n",
       "      <td>0.371993</td>\n",
       "      <td>1.681939</td>\n",
       "      <td>0.182632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>-0.232640</td>\n",
       "      <td>0.927717</td>\n",
       "      <td>-0.280335</td>\n",
       "      <td>0.453599</td>\n",
       "      <td>2.351110</td>\n",
       "      <td>1.217595</td>\n",
       "      <td>1.813453</td>\n",
       "      <td>-1.978914</td>\n",
       "      <td>-0.282873</td>\n",
       "      <td>2.419849</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028054</td>\n",
       "      <td>2.617281</td>\n",
       "      <td>0.002201</td>\n",
       "      <td>-0.516899</td>\n",
       "      <td>-0.390780</td>\n",
       "      <td>0.657810</td>\n",
       "      <td>-0.232770</td>\n",
       "      <td>2.008808</td>\n",
       "      <td>0.309306</td>\n",
       "      <td>1.177326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>-0.880127</td>\n",
       "      <td>4.048111</td>\n",
       "      <td>-0.929489</td>\n",
       "      <td>1.821393</td>\n",
       "      <td>2.349181</td>\n",
       "      <td>0.536588</td>\n",
       "      <td>0.538186</td>\n",
       "      <td>1.528472</td>\n",
       "      <td>-0.184515</td>\n",
       "      <td>0.557739</td>\n",
       "      <td>...</td>\n",
       "      <td>1.331462</td>\n",
       "      <td>-1.414522</td>\n",
       "      <td>-1.042580</td>\n",
       "      <td>-0.253853</td>\n",
       "      <td>0.525223</td>\n",
       "      <td>0.153859</td>\n",
       "      <td>2.643531</td>\n",
       "      <td>-0.150858</td>\n",
       "      <td>-0.172069</td>\n",
       "      <td>0.954232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>-0.226098</td>\n",
       "      <td>-0.492392</td>\n",
       "      <td>0.658645</td>\n",
       "      <td>0.399418</td>\n",
       "      <td>1.773537</td>\n",
       "      <td>1.746357</td>\n",
       "      <td>-0.781227</td>\n",
       "      <td>2.279644</td>\n",
       "      <td>1.960108</td>\n",
       "      <td>1.843025</td>\n",
       "      <td>...</td>\n",
       "      <td>1.546490</td>\n",
       "      <td>-0.202126</td>\n",
       "      <td>-0.062801</td>\n",
       "      <td>-0.283637</td>\n",
       "      <td>2.930912</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>-0.525161</td>\n",
       "      <td>0.862834</td>\n",
       "      <td>0.204905</td>\n",
       "      <td>-0.149505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.579847</td>\n",
       "      <td>0.256724</td>\n",
       "      <td>-0.667737</td>\n",
       "      <td>-1.063234</td>\n",
       "      <td>-0.501081</td>\n",
       "      <td>2.275300</td>\n",
       "      <td>0.528291</td>\n",
       "      <td>1.330544</td>\n",
       "      <td>2.143841</td>\n",
       "      <td>0.423512</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.271007</td>\n",
       "      <td>0.673204</td>\n",
       "      <td>2.858541</td>\n",
       "      <td>0.613168</td>\n",
       "      <td>0.508080</td>\n",
       "      <td>-0.632843</td>\n",
       "      <td>0.747131</td>\n",
       "      <td>3.177911</td>\n",
       "      <td>-0.479360</td>\n",
       "      <td>-0.405357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>-0.820025</td>\n",
       "      <td>1.307707</td>\n",
       "      <td>-0.897604</td>\n",
       "      <td>-0.413301</td>\n",
       "      <td>-0.089367</td>\n",
       "      <td>-0.269522</td>\n",
       "      <td>0.282655</td>\n",
       "      <td>-1.412074</td>\n",
       "      <td>-1.515198</td>\n",
       "      <td>0.180339</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.677447</td>\n",
       "      <td>0.170546</td>\n",
       "      <td>-1.630240</td>\n",
       "      <td>-0.573236</td>\n",
       "      <td>1.599618</td>\n",
       "      <td>-0.405080</td>\n",
       "      <td>-0.870008</td>\n",
       "      <td>-1.154314</td>\n",
       "      <td>-0.867644</td>\n",
       "      <td>-0.557280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.156361</td>\n",
       "      <td>1.066080</td>\n",
       "      <td>0.395938</td>\n",
       "      <td>0.260554</td>\n",
       "      <td>0.087655</td>\n",
       "      <td>-0.321009</td>\n",
       "      <td>0.363092</td>\n",
       "      <td>1.579528</td>\n",
       "      <td>-0.381053</td>\n",
       "      <td>0.862247</td>\n",
       "      <td>...</td>\n",
       "      <td>0.212569</td>\n",
       "      <td>0.349095</td>\n",
       "      <td>1.715237</td>\n",
       "      <td>-0.474523</td>\n",
       "      <td>-0.989723</td>\n",
       "      <td>-0.996446</td>\n",
       "      <td>-0.402834</td>\n",
       "      <td>0.094373</td>\n",
       "      <td>2.348743</td>\n",
       "      <td>-0.083819</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>51 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    2-methylbutyrylcarnitine (C5)  5-bromotryptophan  \\\n",
       "0                       -0.542576          -0.293139   \n",
       "1                        1.340873          -0.627154   \n",
       "2                       -0.534469          -0.565138   \n",
       "3                        1.753710          -0.893746   \n",
       "4                       -0.837987          -0.820368   \n",
       "5                       -0.841884          -0.572432   \n",
       "6                        0.950530          -0.503678   \n",
       "7                       -0.719712          -0.463777   \n",
       "8                        0.973908          -0.399688   \n",
       "9                       -0.646111          -0.757086   \n",
       "10                      -1.013529          -0.761195   \n",
       "11                       3.406748           0.232900   \n",
       "12                       3.550801           0.256685   \n",
       "13                       1.681127           0.559894   \n",
       "14                      -0.658624          -0.467680   \n",
       "15                       0.066680          -0.255615   \n",
       "16                      -0.109534          -0.832288   \n",
       "17                       1.235532           0.075950   \n",
       "18                      -0.240341          -0.751254   \n",
       "19                      -0.262438          -0.311625   \n",
       "20                       0.471817          -0.521288   \n",
       "21                      -0.463925          -0.628320   \n",
       "22                      -0.734555           0.176015   \n",
       "23                      -0.396529           1.464689   \n",
       "24                       1.360644          -0.635216   \n",
       "25                      -0.206434          -0.699832   \n",
       "26                       0.147337          -0.214833   \n",
       "27                       0.696543           1.001379   \n",
       "28                      -0.367693           0.057262   \n",
       "29                       0.021144           0.495246   \n",
       "30                      -0.609148          -0.728126   \n",
       "31                       0.205949          -0.690864   \n",
       "32                      -0.355744           3.444473   \n",
       "33                      -0.175160          -0.215023   \n",
       "34                      -1.016593          -0.318600   \n",
       "35                      -0.596590           0.070717   \n",
       "36                      -0.179313          -0.152866   \n",
       "37                      -0.550955          -0.692843   \n",
       "38                      -0.346549          -0.163594   \n",
       "39                      -0.587997          -0.634703   \n",
       "40                      -0.321702           2.014898   \n",
       "41                      -0.356998          -0.944502   \n",
       "42                      -1.028137           0.116833   \n",
       "43                      -0.746125          -0.171945   \n",
       "44                      -0.993310          -0.392473   \n",
       "45                      -0.232640           0.927717   \n",
       "46                      -0.880127           4.048111   \n",
       "47                      -0.226098          -0.492392   \n",
       "48                       0.579847           0.256724   \n",
       "49                      -0.820025           1.307707   \n",
       "50                       0.156361           1.066080   \n",
       "\n",
       "    alpha-hydroxyisovalerate  creatine   cystine  isovalerylcarnitine (C5)  \\\n",
       "0                  -0.288080  0.688078  0.377437                 -0.576673   \n",
       "1                   0.356639 -1.586773 -1.009534                 -0.417633   \n",
       "2                  -0.486149 -1.645625  0.864911                 -1.246499   \n",
       "3                   3.311487  0.560470 -0.249494                 -0.753670   \n",
       "4                  -0.575060 -0.276813 -0.087038                 -0.658370   \n",
       "5                  -1.073200 -1.438284  0.390584                 -0.912548   \n",
       "6                   1.339452 -0.326342 -1.559419                  0.274303   \n",
       "7                  -0.366525 -0.676921 -0.062112                 -0.757229   \n",
       "8                   1.383770 -0.758698 -1.603685                  0.542557   \n",
       "9                  -0.540587 -1.157480 -0.383399                 -0.025936   \n",
       "10                 -0.834249 -0.451286 -0.678862                 -0.810027   \n",
       "11                  2.365282 -0.552625 -0.848354                 -0.760878   \n",
       "12                  2.553644 -0.189363 -1.084026                 -0.205517   \n",
       "13                  1.612028  0.381288  0.438959                  0.043843   \n",
       "14                 -0.662275 -1.524474 -1.603439                 -1.021942   \n",
       "15                  1.674881  0.746921  0.003100                 -0.015905   \n",
       "16                 -0.617388 -1.063756 -1.027828                  0.846459   \n",
       "17                  1.180378  0.607025 -0.323699                 -0.846024   \n",
       "18                 -0.321818  1.255535  0.756886                 -0.790326   \n",
       "19                 -0.677677  0.144447 -0.510041                  0.602247   \n",
       "20                  0.843382  2.074873 -0.422731                  0.106427   \n",
       "21                 -0.075290 -1.714332 -1.396035                  2.186924   \n",
       "22                 -0.491739  1.107521 -0.252350                 -0.568398   \n",
       "23                 -0.412523  1.848704  1.395925                 -0.987062   \n",
       "24                  0.613859  0.459088  0.566722                 -0.568980   \n",
       "25                 -0.274952  1.181301  1.560711                  1.671320   \n",
       "26                 -1.169688 -1.541117 -1.114438                  0.934253   \n",
       "27                  0.920440 -0.373029 -2.035875                 -1.337297   \n",
       "28                 -0.841961 -0.043545  0.885225                 -0.244925   \n",
       "29                 -0.334471 -0.543423 -0.053711                  0.541019   \n",
       "30                 -0.577755  0.050314 -0.333457                 -0.363633   \n",
       "31                  0.237911  0.006780 -0.480466                  0.680694   \n",
       "32                 -0.584353 -1.422758  0.681552                  0.211409   \n",
       "33                  0.550539  0.810612 -0.566301                 -0.841742   \n",
       "34                 -0.855323 -0.973988  0.199608                 -1.024268   \n",
       "35                 -0.502772 -0.677928  0.101324                 -0.436817   \n",
       "36                 -0.144055  1.237940 -1.420017                  0.585453   \n",
       "37                 -0.551436  0.595484  0.453944                  3.193188   \n",
       "38                  0.263191  0.605877  1.027290                 -1.199004   \n",
       "39                 -0.785522 -1.114263 -0.429382                  0.389013   \n",
       "40                 -0.481048  1.618412  0.930811                  1.108705   \n",
       "41                 -0.855377  0.820325 -0.116708                  0.795669   \n",
       "42                 -0.923705  1.093867  1.532907                 -0.990608   \n",
       "43                 -0.465275  0.428447  0.588694                 -0.393417   \n",
       "44                 -0.716049  0.271083  0.924772                 -1.143467   \n",
       "45                 -0.280335  0.453599  2.351110                  1.217595   \n",
       "46                 -0.929489  1.821393  2.349181                  0.536588   \n",
       "47                  0.658645  0.399418  1.773537                  1.746357   \n",
       "48                 -0.667737 -1.063234 -0.501081                  2.275300   \n",
       "49                 -0.897604 -0.413301 -0.089367                 -0.269522   \n",
       "50                  0.395938  0.260554  0.087655                 -0.321009   \n",
       "\n",
       "    N-acetylaspartate (NAA)  N-acetylthreonine  N-delta-acetylornithine  \\\n",
       "0                 -0.337930          -0.897691                 1.032811   \n",
       "1                  0.091068          -1.474600                -0.814704   \n",
       "2                 -1.209814           1.126468                -1.143237   \n",
       "3                 -1.203073          -0.181177                -1.295795   \n",
       "4                  0.834689          -0.984130                -0.592073   \n",
       "5                  0.171984           0.726557                 0.154166   \n",
       "6                 -0.901683           0.447019                 0.745030   \n",
       "7                  0.142617          -0.566206                -1.484094   \n",
       "8                 -0.544105          -1.408086                -0.827848   \n",
       "9                 -1.322109          -0.992074                -0.839120   \n",
       "10                -0.952797          -1.043558                -0.465679   \n",
       "11                -0.551630          -1.330711                -1.195742   \n",
       "12                 0.042827          -0.379963                 1.759290   \n",
       "13                -1.249611          -0.655431                -0.491200   \n",
       "14                -0.884750           0.345352                -0.259991   \n",
       "15                -0.541808          -0.518430                -0.049078   \n",
       "16                 1.273421          -1.038762                -1.054813   \n",
       "17                 0.000759           0.623127                -0.201743   \n",
       "18                -0.658539           0.105662                -0.862340   \n",
       "19                -0.363457          -0.706157                -0.357957   \n",
       "20                 3.403259           1.518650                 0.986548   \n",
       "21                -0.968876           0.410169                -0.116101   \n",
       "22                -0.242876          -0.400069                -1.043042   \n",
       "23                 1.325571           1.517958                 1.049290   \n",
       "24                 0.587061           0.028963                -0.642670   \n",
       "25                 0.802179          -1.154701                 0.361941   \n",
       "26                 0.055620          -1.010795                 0.691651   \n",
       "27                -1.292962          -0.604507                 1.480301   \n",
       "28                 1.661772           0.879692                -0.691823   \n",
       "29                 2.589024           1.229289                -0.342049   \n",
       "30                -0.209879           1.609802                 0.344373   \n",
       "31                -1.205433          -0.293095                -0.781745   \n",
       "32                 0.657309           1.756543                 0.004230   \n",
       "33                 0.100538           0.078503                -0.094503   \n",
       "34                 0.711719          -0.553632                 0.059500   \n",
       "35                -0.321939          -0.104066                 0.036332   \n",
       "36                -0.500711          -0.199223                -0.041748   \n",
       "37                -0.159234           0.055364                -0.238482   \n",
       "38                -0.571681           0.311402                -0.064933   \n",
       "39                 0.330032          -0.206128                 1.680014   \n",
       "40                 0.196288          -0.637434                 1.554547   \n",
       "41                -1.121996           1.077374                -0.337519   \n",
       "42                -1.271548           0.575351                -1.057363   \n",
       "43                 0.993917          -0.329945                 2.984302   \n",
       "44                -0.127662          -0.079873                 0.722754   \n",
       "45                 1.813453          -1.978914                -0.282873   \n",
       "46                 0.538186           1.528472                -0.184515   \n",
       "47                -0.781227           2.279644                 1.960108   \n",
       "48                 0.528291           1.330544                 2.143841   \n",
       "49                 0.282655          -1.412074                -1.515198   \n",
       "50                 0.363092           1.579528                -0.381053   \n",
       "\n",
       "    N-trimethyl 5-aminovalerate  ...  orotidine  gamma-glutamylphenylalanine  \\\n",
       "0                     -0.330524  ...   0.333506                    -0.267687   \n",
       "1                     -1.373961  ...  -1.667155                    -0.911381   \n",
       "2                      0.634469  ...   0.131175                     0.313852   \n",
       "3                      0.312043  ...   0.604664                    -0.088887   \n",
       "4                     -1.310020  ...  -0.855873                    -0.735918   \n",
       "5                     -0.434197  ...  -0.125464                    -1.104093   \n",
       "6                     -1.213988  ...   0.258726                    -1.071045   \n",
       "7                     -0.034700  ...  -1.620487                    -1.476207   \n",
       "8                      0.430725  ...  -0.545438                    -0.890468   \n",
       "9                     -0.623351  ...  -0.009981                    -1.043695   \n",
       "10                    -1.024771  ...  -0.348150                    -1.378285   \n",
       "11                     1.202265  ...   0.904079                     0.261949   \n",
       "12                     0.881724  ...  -2.433815                    -0.835774   \n",
       "13                    -1.412636  ...  -0.483397                     0.660442   \n",
       "14                    -1.491051  ...  -1.379535                    -1.422184   \n",
       "15                    -0.921801  ...   0.631001                     0.375220   \n",
       "16                    -0.133875  ...  -1.544529                    -0.012542   \n",
       "17                     0.345521  ...  -1.395213                    -0.509272   \n",
       "18                    -1.238765  ...   1.738417                     0.307172   \n",
       "19                    -1.311498  ...  -0.514745                    -0.243001   \n",
       "20                     0.087831  ...   0.529945                    -1.052982   \n",
       "21                     0.039235  ...  -0.561384                    -0.407003   \n",
       "22                     0.368351  ...   0.087743                     1.335276   \n",
       "23                     0.576621  ...   1.044446                    -0.297422   \n",
       "24                     1.770440  ...   0.882991                     0.203448   \n",
       "25                     0.092407  ...   0.118604                     0.983867   \n",
       "26                    -1.088071  ...  -1.319096                     3.439666   \n",
       "27                    -1.304220  ...   0.011739                     0.644981   \n",
       "28                     0.059284  ...   0.008701                     1.087948   \n",
       "29                     0.655629  ...  -0.693493                     1.198568   \n",
       "30                     1.377689  ...   0.745426                     0.658524   \n",
       "31                    -0.177691  ...   0.227996                    -0.694610   \n",
       "32                     1.189040  ...  -1.072843                     1.533076   \n",
       "33                    -0.796111  ...   0.404394                    -0.174336   \n",
       "34                    -1.125769  ...   0.310603                    -0.605744   \n",
       "35                     0.657622  ...  -1.186449                    -0.032154   \n",
       "36                    -1.540376  ...   1.189968                    -1.401435   \n",
       "37                     0.360768  ...   0.958380                     1.097068   \n",
       "38                    -0.751681  ...   1.479839                    -0.080892   \n",
       "39                     1.278558  ...  -1.593334                     0.439736   \n",
       "40                     0.940946  ...   1.359717                     0.448359   \n",
       "41                    -1.200961  ...   1.331601                     0.659628   \n",
       "42                     1.457336  ...   1.442154                    -0.186926   \n",
       "43                    -0.589341  ...   1.006214                    -1.050368   \n",
       "44                     0.424145  ...  -0.561770                     0.132058   \n",
       "45                     2.419849  ...   0.028054                     2.617281   \n",
       "46                     0.557739  ...   1.331462                    -1.414522   \n",
       "47                     1.843025  ...   1.546490                    -0.202126   \n",
       "48                     0.423512  ...  -0.271007                     0.673204   \n",
       "49                     0.180339  ...  -0.677447                     0.170546   \n",
       "50                     0.862247  ...   0.212569                     0.349095   \n",
       "\n",
       "    gamma-glutamylthreonine  phenylacetylglutamine  7-methylurate  \\\n",
       "0                 -1.224637              -0.344916       0.347300   \n",
       "1                  0.040076               0.797383      -0.118782   \n",
       "2                  0.013446               0.589295      -0.989723   \n",
       "3                 -0.438065              -0.410447      -0.989723   \n",
       "4                 -1.035859              -0.542822      -0.394081   \n",
       "5                 -0.148857               0.712356      -0.076931   \n",
       "6                 -1.353704               5.371158       0.121267   \n",
       "7                  0.678664              -0.620527      -0.126519   \n",
       "8                  0.168302              -0.244048      -0.989723   \n",
       "9                 -1.083979              -0.360479      -0.644395   \n",
       "10                -1.425436              -0.587715      -0.004563   \n",
       "11                 0.966831               2.046061      -0.604581   \n",
       "12                -0.432810              -0.358964      -0.101124   \n",
       "13                -0.264486               0.728831      -0.989723   \n",
       "14                -1.338770               2.425141      -0.395687   \n",
       "15                -0.444561              -0.359825      -0.323845   \n",
       "16                -1.005845              -0.623117      -0.989723   \n",
       "17                 0.134856              -0.606290      -0.085571   \n",
       "18                -0.449450               0.854302      -0.261458   \n",
       "19                 0.490011              -0.606077       1.108413   \n",
       "20                 0.533252              -0.615876       2.081206   \n",
       "21                -0.605232              -0.576663       0.063253   \n",
       "22                 0.422687              -0.390812      -0.989723   \n",
       "23                 1.744550               0.767925       0.204934   \n",
       "24                 1.463379              -0.072153      -0.989723   \n",
       "25                 1.828934              -0.475985      -0.989723   \n",
       "26                 0.559807              -0.635268       0.566698   \n",
       "27                -1.452617              -0.511047      -0.989723   \n",
       "28                 1.465376              -0.433844       1.488365   \n",
       "29                 0.403765              -0.444556       0.364570   \n",
       "30                 0.137013               0.196456       2.965494   \n",
       "31                 0.459392              -0.437001      -0.504623   \n",
       "32                 1.184967               0.694464      -0.361992   \n",
       "33                 0.699999              -0.420293      -0.989723   \n",
       "34                -0.968340              -0.007441      -0.026581   \n",
       "35                -0.180457               0.152208      -0.989723   \n",
       "36                -1.694425              -0.407680      -0.532132   \n",
       "37                -0.603176              -0.455800       1.055413   \n",
       "38                 0.008051              -0.371746      -0.230857   \n",
       "39                 0.834816              -0.733135       1.139196   \n",
       "40                 0.980239              -0.208027       1.945672   \n",
       "41                -1.009229              -0.117866      -0.989723   \n",
       "42                 0.207915              -0.224794      -0.926353   \n",
       "43                -0.152600              -0.103163      -0.271025   \n",
       "44                 0.045847              -0.538226       0.232658   \n",
       "45                 0.002201              -0.516899      -0.390780   \n",
       "46                -1.042580              -0.253853       0.525223   \n",
       "47                -0.062801              -0.283637       2.930912   \n",
       "48                 2.858541               0.613168       0.508080   \n",
       "49                -1.630240              -0.573236       1.599618   \n",
       "50                 1.715237              -0.474523      -0.989723   \n",
       "\n",
       "    o-cresol sulfate  ferulic acid 4-sulfate  4-ethylphenylsulfate  \\\n",
       "0          -0.535747               -0.798051             -0.052097   \n",
       "1           0.322001               -0.584960             -0.855181   \n",
       "2          -0.791327               -0.910544             -1.045751   \n",
       "3           0.327514                1.259316             -0.592873   \n",
       "4          -0.492790               -0.196227             -0.705337   \n",
       "5           0.122030               -0.337999             -0.401953   \n",
       "6          -0.204051               -0.857973             -0.124315   \n",
       "7           3.813687               -0.791882             -0.899240   \n",
       "8           0.939535               -0.868613             -0.802387   \n",
       "9           0.867229               -0.233458             -0.269882   \n",
       "10          2.846276               -0.288053             -0.017587   \n",
       "11          0.742449               -0.614867             -0.681681   \n",
       "12          0.591400               -0.961086             -1.150798   \n",
       "13          0.426127               -0.395389             -0.612480   \n",
       "14         -0.996446                0.226804             -0.400889   \n",
       "15          0.412962               -0.663234             -0.176741   \n",
       "16         -0.278993               -0.961086             -0.196883   \n",
       "17          0.618197                0.524094             -0.289391   \n",
       "18         -0.158201                0.005621              0.487077   \n",
       "19         -0.681096                0.887102             -0.861383   \n",
       "20          1.400630                0.475662              3.364360   \n",
       "21         -0.996446                0.518543              0.104399   \n",
       "22         -0.734411               -0.108154              0.269686   \n",
       "23         -0.353973               -0.449933              0.599318   \n",
       "24         -0.129421                2.165283             -0.259605   \n",
       "25          0.427815                0.194412              1.329628   \n",
       "26         -0.996446               -0.546682             -0.626809   \n",
       "27         -0.996446               -0.698198              1.744309   \n",
       "28         -0.422281               -0.129534             -0.467599   \n",
       "29         -0.996446                1.908849              1.169097   \n",
       "30          0.191442               -0.961086              0.022827   \n",
       "31          0.556966               -0.551896              1.186715   \n",
       "32          0.186154               -0.961086             -1.760286   \n",
       "33         -0.451800               -0.631255             -0.907290   \n",
       "34          2.245407                0.530890             -1.165487   \n",
       "35         -0.996446               -0.140776             -0.118888   \n",
       "36          0.882759               -0.790354             -0.367391   \n",
       "37         -0.869426               -0.943370              0.266982   \n",
       "38          0.373862               -0.607883             -0.154010   \n",
       "39         -0.996446                2.261385              0.090003   \n",
       "40         -0.996446                1.258251              0.750014   \n",
       "41          0.018082                3.277144              0.339225   \n",
       "42         -0.996446                0.414907             -0.292549   \n",
       "43         -0.109770                0.173772             -0.677626   \n",
       "44         -0.912079               -0.458297              0.371993   \n",
       "45          0.657810               -0.232770              2.008808   \n",
       "46          0.153859                2.643531             -0.150858   \n",
       "47         -0.996446               -0.525161              0.862834   \n",
       "48         -0.632843                0.747131              3.177911   \n",
       "49         -0.405080               -0.870008             -1.154314   \n",
       "50         -0.996446               -0.402834              0.094373   \n",
       "\n",
       "    p-cresol sulfate  stachydrine  \n",
       "0          -0.090113    -0.977788  \n",
       "1          -0.983521    -0.212440  \n",
       "2          -0.944496    -0.632435  \n",
       "3          -0.418351     0.208449  \n",
       "4          -0.189566     1.136677  \n",
       "5          -0.698265    -1.029030  \n",
       "6          -0.738951     1.495889  \n",
       "7          -0.437093    -1.153123  \n",
       "8          -0.725323    -0.627984  \n",
       "9           0.076057     0.169524  \n",
       "10         -0.698468    -1.039448  \n",
       "11         -0.216823     0.152921  \n",
       "12         -0.976565    -0.700630  \n",
       "13         -0.551012    -0.377193  \n",
       "14         -0.639516    -1.402058  \n",
       "15         -0.591178    -1.243901  \n",
       "16          0.099634    -1.017337  \n",
       "17          0.762557    -0.426524  \n",
       "18         -0.232890    -0.621285  \n",
       "19         -0.884697    -0.837280  \n",
       "20         -0.724847    -0.242266  \n",
       "21         -0.703418     1.082406  \n",
       "22          0.851559    -0.054168  \n",
       "23          2.000761     2.181512  \n",
       "24         -0.358982     1.965989  \n",
       "25          2.173420    -0.223650  \n",
       "26         -0.532961     1.710016  \n",
       "27          0.511322    -1.155898  \n",
       "28          0.254703    -0.631534  \n",
       "29         -0.368149     0.764212  \n",
       "30         -0.117178    -1.000129  \n",
       "31          1.359648     2.602704  \n",
       "32         -0.878966    -0.260169  \n",
       "33          0.024983    -0.810768  \n",
       "34         -1.083275    -1.032434  \n",
       "35         -0.467734    -0.972649  \n",
       "36         -0.720765     0.014203  \n",
       "37         -0.714245     0.823054  \n",
       "38         -0.220136     0.185462  \n",
       "39          3.095708     0.617827  \n",
       "40          2.710801     1.856340  \n",
       "41         -0.133391    -0.301537  \n",
       "42          0.423594     1.481076  \n",
       "43         -0.329691    -0.582831  \n",
       "44          1.681939     0.182632  \n",
       "45          0.309306     1.177326  \n",
       "46         -0.172069     0.954232  \n",
       "47          0.204905    -0.149505  \n",
       "48         -0.479360    -0.405357  \n",
       "49         -0.867644    -0.557280  \n",
       "50          2.348743    -0.083819  \n",
       "\n",
       "[51 rows x 50 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DatasetDataFrame"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SHAP Bee Swarm Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer = shap.Explainer(regressor)\n",
    "TrainDataFrame = pd.DataFrame(data = X_train, \n",
    "                        columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n",
    "TestDataFrame = pd.DataFrame(data = X_test, \n",
    "                        columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n",
    "\n",
    "DatasetDataFrame =  pd.DataFrame(data = X, \n",
    "                        columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n",
    "\n",
    "## Train\n",
    "shap_values = explainer(TrainDataFrame)\n",
    "plt.figure()   \n",
    "shap.plots.beeswarm(shap_values, show=False)\n",
    "plt.savefig('Other_Plots\\\\Beeswarm_Train.pdf', bbox_inches='tight')\n",
    "plt.savefig('Other_Plots\\\\Beeswarm_Train.png', bbox_inches='tight')\n",
    "plt.close()\n",
    "\n",
    "## Test\n",
    "shap_values = explainer(TestDataFrame)\n",
    "plt.figure()   \n",
    "shap.plots.beeswarm(shap_values, show=False)\n",
    "plt.savefig('Other_Plots\\\\Beeswarm_Test.pdf', bbox_inches='tight')\n",
    "plt.savefig('Other_Plots\\\\Beeswarm_Test.png', bbox_inches='tight')\n",
    "plt.close()\n",
    "\n",
    "## Whole Dataset\n",
    "shap_values = explainer(DatasetDataFrame)\n",
    "plt.figure()   \n",
    "shap.plots.beeswarm(shap_values, show=False)\n",
    "plt.savefig('Other_Plots\\\\Beeswarm_WholeDataset.pdf', bbox_inches='tight')\n",
    "plt.savefig('Other_Plots\\\\Beeswarm_WholeDataset.png', bbox_inches='tight')\n",
    "plt.savefig('Other_Plots\\\\Beeswarm_WholeDataset.svg', bbox_inches='tight')\n",
    "plt.close()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shap Simplified plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Shape of passed values is (51, 832), indices imply (51, 11)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32mc:\\Projects\\New folder\\project.ipynb Cell 44\u001b[0m in \u001b[0;36m<cell line: 4>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X61sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpyplot\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mplt\u001b[39;00m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X61sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mshap\u001b[39;00m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X61sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m DatasetDataFrame \u001b[39m=\u001b[39m  pd\u001b[39m.\u001b[39;49mDataFrame(data \u001b[39m=\u001b[39;49m X, \n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X61sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m                         columns \u001b[39m=\u001b[39;49m [\u001b[39m'\u001b[39;49m\u001b[39mFeed Rate\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39m Hopper Level\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mRoller Speed\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mWorking Gap\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mWorking Pressure\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mPower-FIX\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mPower-FLOAT\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mFe\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mFeO\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mRatio\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mK80(Input)\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X61sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m shap_values \u001b[39m=\u001b[39m shap\u001b[39m.\u001b[39mTreeExplainer(regressor)\u001b[39m.\u001b[39mshap_values(DatasetDataFrame)\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X61sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m \u001b[39m# shap.summary_plot(shap_values, DatasetDataFrame, plot_type=\"bar\")\u001b[39;00m\n",
      "File \u001b[1;32mc:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:694\u001b[0m, in \u001b[0;36mDataFrame.__init__\u001b[1;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[0;32m    684\u001b[0m         mgr \u001b[39m=\u001b[39m dict_to_mgr(\n\u001b[0;32m    685\u001b[0m             \u001b[39m# error: Item \"ndarray\" of \"Union[ndarray, Series, Index]\" has no\u001b[39;00m\n\u001b[0;32m    686\u001b[0m             \u001b[39m# attribute \"name\"\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    691\u001b[0m             typ\u001b[39m=\u001b[39mmanager,\n\u001b[0;32m    692\u001b[0m         )\n\u001b[0;32m    693\u001b[0m     \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 694\u001b[0m         mgr \u001b[39m=\u001b[39m ndarray_to_mgr(\n\u001b[0;32m    695\u001b[0m             data,\n\u001b[0;32m    696\u001b[0m             index,\n\u001b[0;32m    697\u001b[0m             columns,\n\u001b[0;32m    698\u001b[0m             dtype\u001b[39m=\u001b[39;49mdtype,\n\u001b[0;32m    699\u001b[0m             copy\u001b[39m=\u001b[39;49mcopy,\n\u001b[0;32m    700\u001b[0m             typ\u001b[39m=\u001b[39;49mmanager,\n\u001b[0;32m    701\u001b[0m         )\n\u001b[0;32m    703\u001b[0m \u001b[39m# For data is list-like, or Iterable (will consume into list)\u001b[39;00m\n\u001b[0;32m    704\u001b[0m \u001b[39melif\u001b[39;00m is_list_like(data):\n",
      "File \u001b[1;32mc:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py:351\u001b[0m, in \u001b[0;36mndarray_to_mgr\u001b[1;34m(values, index, columns, dtype, copy, typ)\u001b[0m\n\u001b[0;32m    346\u001b[0m \u001b[39m# _prep_ndarray ensures that values.ndim == 2 at this point\u001b[39;00m\n\u001b[0;32m    347\u001b[0m index, columns \u001b[39m=\u001b[39m _get_axes(\n\u001b[0;32m    348\u001b[0m     values\u001b[39m.\u001b[39mshape[\u001b[39m0\u001b[39m], values\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m], index\u001b[39m=\u001b[39mindex, columns\u001b[39m=\u001b[39mcolumns\n\u001b[0;32m    349\u001b[0m )\n\u001b[1;32m--> 351\u001b[0m _check_values_indices_shape_match(values, index, columns)\n\u001b[0;32m    353\u001b[0m \u001b[39mif\u001b[39;00m typ \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39marray\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m    355\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39missubclass\u001b[39m(values\u001b[39m.\u001b[39mdtype\u001b[39m.\u001b[39mtype, \u001b[39mstr\u001b[39m):\n",
      "File \u001b[1;32mc:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py:422\u001b[0m, in \u001b[0;36m_check_values_indices_shape_match\u001b[1;34m(values, index, columns)\u001b[0m\n\u001b[0;32m    420\u001b[0m passed \u001b[39m=\u001b[39m values\u001b[39m.\u001b[39mshape\n\u001b[0;32m    421\u001b[0m implied \u001b[39m=\u001b[39m (\u001b[39mlen\u001b[39m(index), \u001b[39mlen\u001b[39m(columns))\n\u001b[1;32m--> 422\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mShape of passed values is \u001b[39m\u001b[39m{\u001b[39;00mpassed\u001b[39m}\u001b[39;00m\u001b[39m, indices imply \u001b[39m\u001b[39m{\u001b[39;00mimplied\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n",
      "\u001b[1;31mValueError\u001b[0m: Shape of passed values is (51, 832), indices imply (51, 11)"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import shap\n",
    "DatasetDataFrame =  pd.DataFrame(data = X, \n",
    "                        columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n",
    "\n",
    "shap_values = shap.TreeExplainer(regressor).shap_values(DatasetDataFrame)\n",
    "\n",
    "# shap.summary_plot(shap_values, DatasetDataFrame, plot_type=\"bar\")\n",
    "def ABS_SHAP(df_shap,df):\n",
    "    #import matplotlib as plt\n",
    "    # Make a copy of the input data\n",
    "    shap_v = pd.DataFrame(df_shap)\n",
    "    feature_list = df.columns\n",
    "    shap_v.columns = feature_list\n",
    "    df_v = df.copy().reset_index().drop('index',axis=1)\n",
    "   \n",
    "    # Determine the correlation in order to plot with different colors\n",
    "    corr_list = list()\n",
    "    for i in feature_list:\n",
    "        #print(df_v[i])\n",
    "        b = np.corrcoef(shap_v[i],df_v[i])[1][0]\n",
    "        corr_list.append(b)\n",
    "    corr_df = pd.concat([pd.Series(feature_list),pd.Series(corr_list)],axis=1).fillna(0)\n",
    "    # Make a data frame. Column 1 is the feature, and Column 2 is the correlation coefficient\n",
    "    corr_df.columns  = ['Variable','Corr']\n",
    "    corr_df['Sign'] = np.where(corr_df['Corr']>0,'red','blue')\n",
    "    \n",
    "    # Plot it\n",
    "    plt.figure()\n",
    "    shap_abs = np.abs(shap_v)\n",
    "    k=pd.DataFrame(shap_abs.mean()).reset_index()\n",
    "    k.columns = ['Variable','SHAP_abs']\n",
    "    k2 = k.merge(corr_df,left_on = 'Variable',right_on='Variable',how='inner')\n",
    "    k2 = k2.sort_values(by='SHAP_abs',ascending = True)\n",
    "    print(k2)\n",
    "    colorlist = k2['Sign']\n",
    "    ax = k2.plot.barh(x='Variable',y='SHAP_abs',color = colorlist, figsize=(5,6),legend=False)\n",
    "    #ax.set_xlabel(\"SHAP Value (Red = Positive Impact)\")\n",
    "    ax.set_xlabel(\"Mean SHAP Value (Red = Positive Impact)\")\n",
    "    \n",
    "    plt.savefig('Other_Plots\\\\SHAP_Simplified_Plot.pdf', bbox_inches='tight')\n",
    "    plt.savefig('Other_Plots\\\\SHAP_Simplified_Plot.png', bbox_inches='tight')\n",
    "    plt.savefig('Other_Plots\\\\SHAP_Simplified_Plot.svg', bbox_inches='tight')\n",
    "    plt.close()\n",
    "\n",
    "    \n",
    "    \n",
    "# ABS_SHAP(shap_values,DatasetDataFrame) \n",
    "ABS_SHAP(shap_values,DatasetDataFrame) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'shap' has no attribute 'Explainer'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32mc:\\Projects\\New folder\\project.ipynb Cell 45\u001b[0m in \u001b[0;36m<cell line: 8>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m model \u001b[39m=\u001b[39m xgb\u001b[39m.\u001b[39mXGBClassifier(booster\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mgblinear\u001b[39m\u001b[39m'\u001b[39m, learning_rate\u001b[39m=\u001b[39m\u001b[39m0.19\u001b[39m)\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m model\u001b[39m.\u001b[39mfit(X_reduced, y)\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m explainer \u001b[39m=\u001b[39m shap\u001b[39m.\u001b[39;49mExplainer(model, X_reduced)\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m DatasetDataFrame \u001b[39m=\u001b[39m  pd\u001b[39m.\u001b[39mDataFrame(data \u001b[39m=\u001b[39m X_reduced, \n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m                         columns \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39m2-methylbutyrylcarnitine (C5)\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m5-bromotryptophan\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=10'>11</a>\u001b[0m        \u001b[39m'\u001b[39m\u001b[39malpha-hydroxyisovalerate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcreatine\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcystine\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=31'>32</a>\u001b[0m        \u001b[39m'\u001b[39m\u001b[39mferulic acid 4-sulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m4-ethylphenylsulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mp-cresol sulfate\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=32'>33</a>\u001b[0m        \u001b[39m'\u001b[39m\u001b[39mstachydrine\u001b[39m\u001b[39m'\u001b[39m])\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Projects/New%20folder/project.ipynb#X62sZmlsZQ%3D%3D?line=33'>34</a>\u001b[0m shap_values \u001b[39m=\u001b[39m explainer(DatasetDataFrame)\n",
      "\u001b[1;31mAttributeError\u001b[0m: module 'shap' has no attribute 'Explainer'"
     ]
    }
   ],
   "source": [
    "import shap\n",
    "import matplotlib.pyplot as plt\n",
    "import xgboost as xgb\n",
    "import numpy as np\n",
    "model = xgb.XGBClassifier(booster='gblinear', learning_rate=0.19)\n",
    "model.fit(X_reduced, y)\n",
    "\n",
    "explainer = shap.Explainer(model, X_reduced)\n",
    "DatasetDataFrame =  pd.DataFrame(data = X_reduced, \n",
    "                        columns = ['2-methylbutyrylcarnitine (C5)', '5-bromotryptophan',\n",
    "       'alpha-hydroxyisovalerate', 'creatine', 'cystine',\n",
    "       'isovalerylcarnitine (C5)', 'N-acetylaspartate (NAA)',\n",
    "       'N-acetylthreonine', 'N-delta-acetylornithine',\n",
    "       'N-trimethyl 5-aminovalerate', 'pro-hydroxy-pro', 'sarcosine',\n",
    "       'alpha-CEHC sulfate', 'gulonate*', 'aconitate [cis or trans]',\n",
    "       'diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])*',\n",
    "       'glycerol 3-phosphate', '1-arachidonylglycerol (20:4)',\n",
    "       'palmitoyl-oleoyl-glycerol (16:0/18:1) [2]*', 'suberate (octanedioate)',\n",
    "       'andro steroid monosulfate (1)*',\n",
    "       '1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)*',\n",
    "       '1-(1-enyl-palmitoyl)-GPE (P-16:0)*', '1-oleoylglycerol (18:1)',\n",
    "       '1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)*', '1-stearoyl-GPI (18:0)',\n",
    "       'acetylcarnitine (C2)', 'epiandrosterone sulfate',\n",
    "       'glycerophosphoethanolamine', 'linoleoylcarnitine (C18:2)*',\n",
    "       'oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]*',\n",
    "       'oleoyl-linoleoyl-glycerol (18:1/18:2) [2]', 'palmitoleate (16:1n7)',\n",
    "       'palmitoylcarnitine (C16)', 'sphingomyelin (d18:2/16:0, d18:1/16:1)*',\n",
    "       'sphingomyelin (d18:2/24:2)*', 'stearoylcarnitine (C18)',\n",
    "       \"2'-O-methyluridine\", 'hypoxanthine', 'N2,N2-dimethylguanosine',\n",
    "       'orotidine', 'gamma-glutamylphenylalanine', 'gamma-glutamylthreonine',\n",
    "       'phenylacetylglutamine', '7-methylurate', 'o-cresol sulfate',\n",
    "       'ferulic acid 4-sulfate', '4-ethylphenylsulfate', 'p-cresol sulfate',\n",
    "       'stachydrine'])\n",
    "shap_values = explainer(DatasetDataFrame)\n",
    "\n",
    "shap.plots.bar(shap_values)"
   ]
  }
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