EstimatorReport.clear_cache#

EstimatorReport.clear_cache()[source]#

Clear the cache.

Note that the cache might not be empty after this method is run as some values need to be kept, such as the fit time.

Examples

>>> from sklearn.datasets import load_breast_cancer
>>> from sklearn.linear_model import LogisticRegression
>>> from sklearn.model_selection import train_test_split
>>> from skore import EstimatorReport
>>> X_train, X_test, y_train, y_test = train_test_split(
...     *load_breast_cancer(return_X_y=True), random_state=0
... )
>>> classifier = LogisticRegression(max_iter=10_000)
>>> report = EstimatorReport(
...     classifier,
...     X_train=X_train,
...     y_train=y_train,
...     X_test=X_test,
...     y_test=y_test,
... )
>>> report.cache_predictions()
>>> report.clear_cache()
>>> report._cache
{}