CrossValidationReport.cache_predictions

CrossValidationReport.cache_predictions()

Cache the predictions for sub-estimators reports.

Examples

>>> from sklearn.datasets import load_breast_cancer
>>> from sklearn.linear_model import LogisticRegression
>>> from skore import CrossValidationReport
>>> X, y = load_breast_cancer(return_X_y=True)
>>> classifier = LogisticRegression(max_iter=10_000)
>>> report = CrossValidationReport(classifier, X=X, y=y, splitter=2)
>>> report.cache_predictions()
>>> report.estimator_reports_[0]._cache
{...}