ComparisonReport.cache_predictions

ComparisonReport.cache_predictions()

Cache the predictions for sub-estimators reports.

Examples

>>> from sklearn.datasets import make_classification
>>> from sklearn.linear_model import LogisticRegression
>>> from skore import train_test_split
>>> from skore import ComparisonReport, EstimatorReport
>>> X, y = make_classification(random_state=42)
>>> split_data = train_test_split(X=X, y=y, random_state=42, as_dict=True)
>>> estimator_1 = LogisticRegression()
>>> estimator_report_1 = EstimatorReport(estimator_1, **split_data)
>>> estimator_2 = LogisticRegression(C=2)  # Different regularization
>>> estimator_report_2 = EstimatorReport(estimator_2, **split_data)
>>> report = ComparisonReport([estimator_report_1, estimator_report_2])
>>> report.cache_predictions()