Algorithm 1.
1: HPO ← Hyperparameter Optimizer |
2: for Iteration i ← 1…K do |
3: Hyperparams αi ← HPO.NextHyperparams() |
4: Train model on training data with hyperparams αi |
5: Make predictions for validation data with model |
6: HPO.RecordValidationError() |
7: end for |
8: Best model is model with lowest validation error |