Model Selection¶
The pyuplift.model_selection module includes model validation and splitter functions.
Splitter Functions¶
| model_selection.train_test_split(X, y, t, [train_share, random_state]) | Split X, y, t into random train and test subsets. |
Model validation¶
| model_selection.treatment_cross_val_score(X, y, t, model, [cv, train_share, seeds]) | Evaluate a scores by cross-validation. |