ComparisonReport.clear_cache#
- ComparisonReport.clear_cache()[source]#
Clear the cache.
Examples
>>> from sklearn.datasets import make_classification >>> from sklearn.linear_model import LogisticRegression >>> from sklearn.model_selection import train_test_split >>> from skore import ComparisonReport >>> X, y = make_classification(random_state=42) >>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42) >>> estimator_1 = LogisticRegression() >>> estimator_report_1 = EstimatorReport( ... estimator_1, ... X_train=X_train, ... y_train=y_train, ... X_test=X_test, ... y_test=y_test ... ) >>> estimator_2 = LogisticRegression(C=2) # Different regularization >>> estimator_report_2 = EstimatorReport( ... estimator_2, ... X_train=X_train, ... y_train=y_train, ... X_test=X_test, ... y_test=y_test ... ) >>> report = ComparisonReport([estimator_report_1, estimator_report_2]) >>> report.cache_predictions() >>> report.clear_cache() >>> report._cache {}