Table 3.
Parameters of the GaussianProcessRegressor for the metamodel created with Scikit-learn (64).
| Name | Value |
|---|---|
| kernel | Matern |
| n_restarts_optimizer | 1,000 |
| normalize_y | True |
| random_state | 42 |
Parameters of the GaussianProcessRegressor for the metamodel created with Scikit-learn (64).
| Name | Value |
|---|---|
| kernel | Matern |
| n_restarts_optimizer | 1,000 |
| normalize_y | True |
| random_state | 42 |