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 compare, evaluate
>>> X, y = make_classification(random_state=42)
>>> estimator_1 = LogisticRegression()
>>> estimator_report_1 = evaluate(estimator_1, X, y, splitter=0.2)
>>> estimator_2 = LogisticRegression(C=2)  # Different regularization
>>> estimator_report_2 = evaluate(estimator_2, X, y, splitter=0.2)
>>> report = compare([estimator_report_1, estimator_report_2])
>>> report.cache_predictions()