⚠️ CI failed on Linux_Nightly.pylatest_pip_scipy_dev (last failure: Jun 29, 2025) ⚠️

**CI is still failing on [Linux_Nightly.pylatest_pip_scipy_dev](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=77785&view=logs&j=dfe99b15-50db-5d7b-b1e9-4105c42527cf)** (Jun 29, 2025)
- Test Collection Failure
- test_ensemble_heterogeneous_estimators_behavior[stacking-classifier]
- test_ensemble_heterogeneous_estimators_behavior[voting-classifier]
- test_heterogeneous_ensemble_support_missing_values[StackingClassifier-LogisticRegression-X0-y0]
- test_heterogeneous_ensemble_support_missing_values[VotingClassifier-LogisticRegression-X2-y2]
- test_stacking_classifier_iris[False-None-3]
- test_stacking_classifier_iris[False-None-cv1]
- test_stacking_classifier_iris[False-final_estimator1-3]
- test_stacking_classifier_iris[False-final_estimator1-cv1]
- test_stacking_classifier_iris[True-None-3]
- test_stacking_classifier_iris[True-None-cv1]
- test_stacking_classifier_iris[True-final_estimator1-3]
- test_stacking_classifier_iris[True-final_estimator1-cv1]
- test_stacking_classifier_drop_column_binary_classification
- test_stacking_classifier_sparse_passthrough[coo_matrix]
- test_stacking_classifier_sparse_passthrough[coo_array]
- test_stacking_classifier_sparse_passthrough[csc_matrix]
- test_stacking_classifier_sparse_passthrough[csc_array]
- test_stacking_classifier_sparse_passthrough[csr_matrix]
- test_stacking_classifier_sparse_passthrough[csr_array]
- test_stacking_classifier_drop_binary_prob
- test_stacking_classifier_error[y1-params1-ValueError-does not implement the method predict_proba]
- test_stacking_classifier_error[y2-params2-TypeError-does not support sample weight]
- test_stacking_classifier_error[y3-params3-TypeError-does not support sample weight]
- test_stacking_randomness[StackingClassifier]
- test_stacking_classifier_stratify_default
- test_stacking_with_sample_weight[StackingClassifier]
- test_stacking_cv_influence[StackingClassifier]
- test_stacking_prefit[StackingClassifier-DummyClassifier-predict_proba-final_estimator0-X0-y0]
- test_stacking_without_n_features_in[make_classification-StackingClassifier-LogisticRegression]
- test_get_feature_names_out[True-StackingClassifier_multiclass]
- test_get_feature_names_out[True-StackingClassifier_binary]
- test_get_feature_names_out[False-StackingClassifier_multiclass]
- test_get_feature_names_out[False-StackingClassifier_binary]
- test_stacking_classifier_base_regressor
- test_stacking_final_estimator_attribute_error
- test_predictproba_hardvoting
- test_majority_label_iris[75]
- test_tie_situation
- test_weights_iris[75]
- test_predict_on_toy_problem[75]
- test_predict_proba_on_toy_problem
- test_gridsearch
- test_parallel_fit[75]
- test_sample_weight[75]
- test_voting_classifier_set_params[75]
- test_set_estimator_drop
- test_estimator_weights_format[75]
- test_transform[75]
- test_none_estimator_with_weights[X0-y0-voter0]
- test_n_features_in[VotingClassifier]
- test_voting_verbose[estimator1]
- test_get_features_names_out_classifier[kwargs0-expected_names0]
- test_get_features_names_out_classifier[kwargs1-expected_names1]
- test_get_features_names_out_classifier_error
- test_sample_weight
- test_2d_coef
- test_importance_getter[estimator0-named_steps.logisticregression.coef_]
- test_probability
- test_w_pipeline_2d_coef_
- test_pipeline_with_nans[RFE]
- test_pipeline_with_nans[RFECV]
- test_rfe_n_features_to_select_warning[RFE-n_features_to_select]
- test_rfe_n_features_to_select_warning[RFECV-min_features_to_select]
- test_rfe_with_joblib_threading_backend[75]
- test_results_per_cv_in_rfecv[75]
- test_estimators_samples
- test_estimators_samples_deterministic
- test_bagging_small_max_features
- test_frozen_methods[predict-estimator1-classification_dataset]
- test_frozen_methods[predict-estimator3-classification_dataset]
- test_frozen_methods[predict_proba-estimator1-classification_dataset]
- test_frozen_methods[predict_proba-estimator3-classification_dataset]
- test_frozen_methods[predict_log_proba-estimator1-classification_dataset]
- test_frozen_methods[predict_log_proba-estimator3-classification_dataset]
- test_frozen_methods[decision_function-estimator1-classification_dataset]
- test_frozen_methods[decision_function-estimator3-classification_dataset]
- test_frozen_methods[transform-estimator1-classification_dataset]
- test_frozen_methods[transform-estimator3-classification_dataset]
- test_output_shape[True-average-features0-5-LogisticRegression-brute-data9]
- test_output_shape[True-average-features0-5-LogisticRegression-brute-data10]
- test_output_shape[True-average-features0-10-LogisticRegression-brute-data9]
- test_output_shape[True-average-features0-10-LogisticRegression-brute-data10]
- test_output_shape[True-average-features1-5-LogisticRegression-brute-data9]
- test_output_shape[True-average-features1-5-LogisticRegression-brute-data10]
- test_output_shape[True-average-features1-10-LogisticRegression-brute-data9]
- test_output_shape[True-average-features1-10-LogisticRegression-brute-data10]
- test_output_shape[True-individual-features0-5-LogisticRegression-brute-data9]
- test_output_shape[True-individual-features0-5-LogisticRegression-brute-data10]
- test_output_shape[True-individual-features0-10-LogisticRegression-brute-data9]
- test_output_shape[True-individual-features0-10-LogisticRegression-brute-data10]
- test_output_shape[True-individual-features1-5-LogisticRegression-brute-data9]
- test_output_shape[True-individual-features1-5-LogisticRegression-brute-data10]
- test_output_shape[True-individual-features1-10-LogisticRegression-brute-data9]
- test_output_shape[True-individual-features1-10-LogisticRegression-brute-data10]
- test_output_shape[True-both-features0-5-LogisticRegression-brute-data9]
- test_output_shape[True-both-features0-5-LogisticRegression-brute-data10]
- test_output_shape[True-both-features0-10-LogisticRegression-brute-data9]
- test_output_shape[True-both-features0-10-LogisticRegression-brute-data10]
- test_output_shape[True-both-features1-5-LogisticRegression-brute-data9]
- test_output_shape[True-both-features1-5-LogisticRegression-brute-data10]
- test_output_shape[True-both-features1-10-LogisticRegression-brute-data9]
- test_output_shape[True-both-features1-10-LogisticRegression-brute-data10]
- test_output_shape[False-average-features0-5-LogisticRegression-brute-data9]
- test_output_shape[False-average-features0-5-LogisticRegression-brute-data10]
- test_output_shape[False-average-features0-10-LogisticRegression-brute-data9]
- test_output_shape[False-average-features0-10-LogisticRegression-brute-data10]
- test_output_shape[False-average-features1-5-LogisticRegression-brute-data9]
- test_output_shape[False-average-features1-5-LogisticRegression-brute-data10]
- test_output_shape[False-average-features1-10-LogisticRegression-brute-data9]
- test_output_shape[False-average-features1-10-LogisticRegression-brute-data10]
- test_output_shape[False-individual-features0-5-LogisticRegression-brute-data9]
- test_output_shape[False-individual-features0-5-LogisticRegression-brute-data10]
- test_output_shape[False-individual-features0-10-LogisticRegression-brute-data9]
- test_output_shape[False-individual-features0-10-LogisticRegression-brute-data10]
- test_output_shape[False-individual-features1-5-LogisticRegression-brute-data9]
- test_output_shape[False-individual-features1-5-LogisticRegression-brute-data10]
- test_output_shape[False-individual-features1-10-LogisticRegression-brute-data9]
- test_output_shape[False-individual-features1-10-LogisticRegression-brute-data10]
- test_output_shape[False-both-features0-5-LogisticRegression-brute-data9]
- test_output_shape[False-both-features0-5-LogisticRegression-brute-data10]
- test_output_shape[False-both-features0-10-LogisticRegression-brute-data9]
- test_output_shape[False-both-features0-10-LogisticRegression-brute-data10]
- test_output_shape[False-both-features1-5-LogisticRegression-brute-data9]
- test_output_shape[False-both-features1-5-LogisticRegression-brute-data10]
- test_output_shape[False-both-features1-10-LogisticRegression-brute-data9]
- test_output_shape[False-both-features1-10-LogisticRegression-brute-data10]
- test_partial_dependence_dataframe[features-integer-None-estimator-brute]
- test_partial_dependence_dataframe[features-integer-column-transformer-estimator-brute]
- test_partial_dependence_dataframe[features-integer-column-transformer-passthrough-estimator-brute]
- test_partial_dependence_dataframe[features-string-None-estimator-brute]
- test_partial_dependence_dataframe[features-string-column-transformer-estimator-brute]
- test_partial_dependence_dataframe[features-string-column-transformer-passthrough-estimator-brute]
- test_partial_dependence_feature_type[scalar-int]
- test_partial_dependence_feature_type[scalar-int-custom-values]
- test_partial_dependence_feature_type[scalar-str]
- test_partial_dependence_feature_type[scalar-str-custom-values]
- test_partial_dependence_feature_type[list-int]
- test_partial_dependence_feature_type[list-int-custom-values]
- test_partial_dependence_feature_type[list-str]
- test_partial_dependence_feature_type[list-str-custom-values]
- test_partial_dependence_feature_type[list-str-custom-values-incorrect]
- test_partial_dependence_feature_type[list-str-three-features]
- test_partial_dependence_feature_type[mask]
- test_kind_average_and_average_of_individual[LogisticRegression-data1]
- test_partial_dependence_kind_individual_ignores_sample_weight[LogisticRegression-data1]
- test_partial_dependence_non_null_weight_idx[0-estimator1]
- test_gradient
- test_lbfgs_classification[X0-y0]
- test_lbfgs_classification[X1-y1]
- test_lbfgs_regression[X0-y0]
- test_lbfgs_classification_maxfun[X0-y0]
- test_partial_dependence_non_null_weight_idx[1-estimator1]
- test_lbfgs_classification_maxfun[X1-y1]
- test_lbfgs_regression_maxfun[X0-y0]
- test_multilabel_classification
- test_multioutput_regression
- test_predict_proba_multilabel
- test_sparse_matrices[csr_matrix]
- test_sparse_matrices[csr_array]
- test_warm_start
- test_partial_dependence_non_null_weight_idx[-1-estimator1]
- test_mlp_warm_start_no_convergence[lbfgs-MLPClassifier]
- test_mlp_warm_start_no_convergence[lbfgs-MLPRegressor]
- test_mlp_vs_poisson_glm_equivalent[75]
- test_partial_dependence_equivalence_equal_sample_weight[LogisticRegression-data1]
- test_partial_dependence_sample_weight_size_error
- test_mixed_type_categorical
- test_partial_dependence_empty_categorical_features
- test_permutation_importance_mixed_types
- test_permutation_importance_mixed_types_pandas
- test_permutation_importance_max_samples_error
- test_glm_regression[75-long-BinomialRegressor()-False-lbfgs]
- test_glm_regression[75-long-BinomialRegressor()-True-lbfgs]
- test_glm_regression[75-long-PoissonRegressor()-False-lbfgs]
- test_glm_regression[75-long-PoissonRegressor()-True-lbfgs]
- test_glm_regression[75-long-GammaRegressor()-False-lbfgs]
- test_glm_regression[75-long-GammaRegressor()-True-lbfgs]
- test_glm_regression[75-long-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression[75-long-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression[75-wide-BinomialRegressor()-False-lbfgs]
- test_glm_regression[75-wide-BinomialRegressor()-True-lbfgs]
- test_glm_regression[75-wide-PoissonRegressor()-False-lbfgs]
- test_glm_regression[75-wide-PoissonRegressor()-True-lbfgs]
- test_glm_regression[75-wide-GammaRegressor()-False-lbfgs]
- test_glm_regression[75-wide-GammaRegressor()-True-lbfgs]
- test_glm_regression[75-wide-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression[75-wide-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_hstacked_X[75-long-BinomialRegressor()-True-lbfgs]
- test_glm_regression_hstacked_X[75-long-BinomialRegressor()-False-lbfgs]
- test_glm_regression_hstacked_X[75-long-PoissonRegressor()-True-lbfgs]
- test_glm_regression_hstacked_X[75-long-PoissonRegressor()-False-lbfgs]
- test_glm_regression_hstacked_X[75-long-GammaRegressor()-True-lbfgs]
- test_glm_regression_hstacked_X[75-long-GammaRegressor()-False-lbfgs]
- test_glm_regression_hstacked_X[75-long-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_hstacked_X[75-long-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_hstacked_X[75-wide-BinomialRegressor()-True-lbfgs]
- test_glm_regression_hstacked_X[75-wide-BinomialRegressor()-False-lbfgs]
- test_glm_regression_hstacked_X[75-wide-PoissonRegressor()-True-lbfgs]
- test_glm_regression_hstacked_X[75-wide-PoissonRegressor()-False-lbfgs]
- test_glm_regression_hstacked_X[75-wide-GammaRegressor()-True-lbfgs]
- test_glm_regression_hstacked_X[75-wide-GammaRegressor()-False-lbfgs]
- test_glm_regression_hstacked_X[75-wide-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_hstacked_X[75-wide-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_vstacked_X[75-long-BinomialRegressor()-True-lbfgs]
- test_glm_regression_vstacked_X[75-long-BinomialRegressor()-False-lbfgs]
- test_glm_regression_vstacked_X[75-long-PoissonRegressor()-True-lbfgs]
- test_glm_regression_vstacked_X[75-long-PoissonRegressor()-False-lbfgs]
- test_glm_regression_vstacked_X[75-long-GammaRegressor()-True-lbfgs]
- test_glm_regression_vstacked_X[75-long-GammaRegressor()-False-lbfgs]
- test_glm_regression_vstacked_X[75-long-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_vstacked_X[75-long-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_vstacked_X[75-wide-BinomialRegressor()-True-lbfgs]
- test_glm_regression_vstacked_X[75-wide-BinomialRegressor()-False-lbfgs]
- test_glm_regression_vstacked_X[75-wide-PoissonRegressor()-True-lbfgs]
- test_glm_regression_vstacked_X[75-wide-PoissonRegressor()-False-lbfgs]
- test_glm_regression_vstacked_X[75-wide-GammaRegressor()-True-lbfgs]
- test_glm_regression_vstacked_X[75-wide-GammaRegressor()-False-lbfgs]
- test_glm_regression_vstacked_X[75-wide-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_vstacked_X[75-wide-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_unpenalized[75-long-BinomialRegressor()-True-lbfgs]
- test_glm_regression_unpenalized[75-long-BinomialRegressor()-False-lbfgs]
- test_glm_regression_unpenalized[75-long-PoissonRegressor()-True-lbfgs]
- test_glm_regression_unpenalized[75-long-PoissonRegressor()-False-lbfgs]
- test_glm_regression_unpenalized[75-long-GammaRegressor()-True-lbfgs]
- test_glm_regression_unpenalized[75-long-GammaRegressor()-False-lbfgs]
- test_glm_regression_unpenalized[75-long-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_unpenalized[75-long-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_unpenalized[75-wide-BinomialRegressor()-True-lbfgs]
- test_glm_regression_unpenalized[75-wide-BinomialRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized[75-wide-BinomialRegressor()-False-lbfgs]
- test_glm_regression_unpenalized[75-wide-BinomialRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized[75-wide-PoissonRegressor()-True-lbfgs]
- test_glm_regression_unpenalized[75-wide-PoissonRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized[75-wide-PoissonRegressor()-False-lbfgs]
- test_glm_regression_unpenalized[75-wide-PoissonRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized[75-wide-GammaRegressor()-True-lbfgs]
- test_glm_regression_unpenalized[75-wide-GammaRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized[75-wide-GammaRegressor()-False-lbfgs]
- test_glm_regression_unpenalized[75-wide-GammaRegressor()-False-newton-cholesky]
- test_weight[csr_matrix]
- test_glm_regression_unpenalized[75-wide-TweedieRegressor(power=1.5)-True-lbfgs]
- test_weight[csr_array]
- test_glm_regression_unpenalized[75-wide-TweedieRegressor(power=1.5)-True-newton-cholesky]
- test_glm_regression_unpenalized[75-wide-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_unpenalized[75-wide-TweedieRegressor(power=1.5)-False-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-long-BinomialRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-BinomialRegressor()-True-newton-cholesky]
- test_weight
- test_glm_regression_unpenalized_hstacked_X[75-long-BinomialRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-BinomialRegressor()-False-newton-cholesky]
- test_auto_weight
- test_glm_regression_unpenalized_hstacked_X[75-long-PoissonRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-PoissonRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-long-PoissonRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-PoissonRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-long-GammaRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-GammaRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-long-GammaRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-GammaRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-long-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-TweedieRegressor(power=1.5)-True-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-long-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-long-TweedieRegressor(power=1.5)-False-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-BinomialRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-BinomialRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-BinomialRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-BinomialRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-PoissonRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-PoissonRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-PoissonRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-PoissonRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-GammaRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-GammaRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-GammaRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-GammaRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-TweedieRegressor(power=1.5)-True-newton-cholesky]
- test_glm_regression_unpenalized_hstacked_X[75-wide-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_unpenalized_hstacked_X[75-wide-TweedieRegressor(power=1.5)-False-newton-cholesky]
- test_glm_regression_unpenalized_vstacked_X[75-long-BinomialRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-long-BinomialRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-long-PoissonRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-long-PoissonRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-long-GammaRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-long-GammaRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-long-TweedieRegressor(power=1.5)-True-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-long-TweedieRegressor(power=1.5)-False-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-wide-BinomialRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-wide-BinomialRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_vstacked_X[75-wide-BinomialRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-wide-BinomialRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_vstacked_X[75-wide-PoissonRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-wide-PoissonRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_vstacked_X[75-wide-PoissonRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-wide-PoissonRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_vstacked_X[75-wide-GammaRegressor()-True-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-wide-GammaRegressor()-True-newton-cholesky]
- test_glm_regression_unpenalized_vstacked_X[75-wide-GammaRegressor()-False-lbfgs]
- test_glm_regression_unpenalized_vstacked_X[75-wide-GammaRegressor()-False-newton-cholesky]
- test_glm_regression_unpenalized_vstacked_X[75-wide-TweedieRegressor(power=1.5)-True-lbfgs]
- test_calibration_votingclassifier
- test_glm_regression_unpenalized_vstacked_X[75-wide-TweedieRegressor(power=1.5)-True-newton-cholesky]
- test_calibrated_classifier_cv_double_sample_weights_equivalence[True-sigmoid]
- test_calibrated_classifier_cv_double_sample_weights_equivalence[True-isotonic]
- test_glm_regression_unpenalized_vstacked_X[75-wide-TweedieRegressor(power=1.5)-False-lbfgs]
- test_calibrated_classifier_cv_double_sample_weights_equivalence[False-sigmoid]
- test_calibrated_classifier_cv_double_sample_weights_equivalence[False-isotonic]
- test_glm_regression_unpenalized_vstacked_X[75-wide-TweedieRegressor(power=1.5)-False-newton-cholesky]
- test_sample_weights_validation
- test_glm_identity_regression[False]
- test_calibration_with_non_sample_aligned_fit_param
- test_glm_identity_regression[True]
- test_glm_sample_weight_consistency[_GeneralizedLinearRegressor-0.0-False]
- test_glm_sample_weight_consistency[_GeneralizedLinearRegressor-0.0-True]
- test_glm_sample_weight_consistency[_GeneralizedLinearRegressor-1.0-False]
- test_glm_sample_weight_consistency[_GeneralizedLinearRegressor-1.0-True]
- test_glm_sample_weight_consistency[PoissonRegressor-0.0-False]
- test_glm_sample_weight_consistency[PoissonRegressor-0.0-True]
- test_glm_sample_weight_consistency[PoissonRegressor-1.0-False]
- test_glm_sample_weight_consistency[PoissonRegressor-1.0-True]
- test_glm_sample_weight_consistency[GammaRegressor-0.0-False]
- test_glm_sample_weight_consistency[GammaRegressor-0.0-True]
- test_glm_sample_weight_consistency[GammaRegressor-1.0-False]
- test_glm_sample_weight_consistency[GammaRegressor-1.0-True]
- test_glm_log_regression[estimator0-True-lbfgs]
- test_glm_log_regression[estimator0-False-lbfgs]
- test_glm_log_regression[estimator1-True-lbfgs]
- test_glm_log_regression[estimator1-False-lbfgs]
- test_glm_log_regression[estimator2-True-lbfgs]
- test_glm_log_regression[estimator2-False-lbfgs]
- test_glm_log_regression[estimator3-True-lbfgs]
- test_glm_log_regression[estimator3-False-lbfgs]
- test_glm_log_regression[estimator4-True-lbfgs]
- test_glm_log_regression[estimator4-False-lbfgs]
- test_glm_log_regression[estimator5-True-lbfgs]
- test_glm_log_regression[estimator5-False-lbfgs]
- test_warm_start[75-True-lbfgs]
- test_warm_start[75-False-lbfgs]
- test_normal_ridge_comparison[None-True-100-10]
- test_normal_ridge_comparison[None-True-10-100]
- test_normal_ridge_comparison[None-False-100-10]
- test_normal_ridge_comparison[None-False-10-100]
- test_normal_ridge_comparison[True-True-100-10]
- test_normal_ridge_comparison[True-True-10-100]
- test_normal_ridge_comparison[True-False-100-10]
- test_normal_ridge_comparison[True-False-10-100]
- test_poisson_glmnet[lbfgs]
- test_convergence_warning
- test_tweedie_link_argument[identity-IdentityLink]
- test_tweedie_link_argument[log-LogLink]
- test_tweedie_link_auto[0-IdentityLink]
- test_tweedie_link_auto[1-LogLink]
- test_tweedie_link_auto[2-LogLink]
- test_tweedie_link_auto[3-LogLink]
- test_tweedie_score[log-0]
- test_tweedie_score[log-1]
- test_tweedie_score[log-1.5]
- test_tweedie_score[log-2]
- test_tweedie_score[log-3]
- test_tweedie_score[identity-0]
- test_tweedie_score[identity-1]
- test_tweedie_score[identity-1.5]
- test_tweedie_score[identity-2]
- test_tweedie_score[identity-3]
- test_linalg_warning_with_newton_solver[75]
- test_newton_solver_verbosity[0]
- test_newton_solver_verbosity[1]
- test_newton_solver_verbosity[2]
- test_balance_property[75-False-LogisticRegressionCV]
- test_balance_property[75-False-PoissonRegressor]
- test_balance_property[75-False-TweedieRegressor]
- test_balance_property[75-True-LogisticRegressionCV]
- test_balance_property[75-True-PoissonRegressor]
- test_balance_property[75-True-TweedieRegressor]
- test_linear_model_regressor_coef_shape[1-GammaRegressor]
- test_linear_model_regressor_coef_shape[1-HuberRegressor]
- test_linear_model_regressor_coef_shape[1-PoissonRegressor]
- test_linear_model_regressor_coef_shape[1-TweedieRegressor]
- test_linear_model_regressor_coef_shape[2-GammaRegressor]
- test_linear_model_regressor_coef_shape[2-HuberRegressor]
- test_linear_model_regressor_coef_shape[2-PoissonRegressor]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_estimators_overwrite_params]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_dont_overwrite_parameters]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_estimators_fit_returns_self]
- test_linear_model_regressor_coef_shape[2-TweedieRegressor]
- test_linear_model_classifier_coef_shape[2-LogisticRegression]
- test_linear_model_classifier_coef_shape[2-LogisticRegressionCV]
- test_linear_model_classifier_coef_shape[3-LogisticRegression]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_readonly_memmap_input]
- test_linear_model_classifier_coef_shape[3-LogisticRegressionCV]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_n_features_in_after_fitting]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_positive_only_tag_during_fit]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_sample_weights_pandas_series]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_sample_weights_not_an_array]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_sample_weights_list]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_sample_weights_shape]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_sample_weights_not_overwritten]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_sample_weight_equivalence_on_dense_data]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_sample_weight_equivalence_on_sparse_data]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_dtype_object]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_estimators_nan_inf]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_estimator_sparse_tag]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_estimator_sparse_array]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_estimator_sparse_matrix]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_f_contiguous_array_estimator]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_classifier_data_not_an_array]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_classifiers_one_label_sample_weights]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_supervised_y_2d]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_methods_sample_order_invariance]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_methods_subset_invariance]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_fit_idempotent]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_fit_check_is_fitted]
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_n_features_in]
- test_huber_equals_lr_for_high_epsilon
- test_huber_max_iter
- test_estimators[CalibratedClassifierCV(cv=3,estimator=LogisticRegression(C=1))-check_fit2d_predict1d]
- test_huber_sample_weights[csr_matrix]
- test_huber_sample_weights[csr_array]
- test_huber_sparse[csr_matrix]
- test_huber_sparse[csr_array]
- test_huber_scaling_invariant
- test_huber_and_sgd_same_results
- test_huber_warm_start
- test_huber_better_r2_score
- test_huber_bool
- test_predict_2_classes[csr_matrix]
- test_predict_2_classes[csr_array]
- test_logistic_cv_mock_scorer
- test_predict_3_classes[csr_matrix]
- test_predict_3_classes[csr_array]
- test_predict_iris[clf1]
- test_multinomial_binary[lbfgs]
- test_sparsify[coo_matrix]
- test_sparsify[coo_array]
- test_inconsistent_input
- test_write_parameters
- test_consistency_path
- test_logistic_regression_path_convergence_fail
- test_logistic_cv_multinomial_score[accuracy-multiclass_agg_list0]
- test_logistic_cv_multinomial_score[precision-multiclass_agg_list1]
- test_logistic_cv_multinomial_score[f1-multiclass_agg_list2]
- test_logistic_cv_multinomial_score[neg_log_loss-multiclass_agg_list3]
- test_logistic_cv_multinomial_score[recall-multiclass_agg_list4]
- test_multinomial_logistic_regression_string_inputs
- test_logistic_cv_sparse[csr_matrix]
- test_logistic_cv_sparse[csr_array]
- test_ovr_multinomial_iris
- test_logistic_regression_solvers
- test_logistic_regression_solvers_multiclass[False]
- test_logistic_regression_solvers_multiclass[True]
- test_logistic_regression_solvers_multiclass_unpenalized[75-False]
- test_logistic_regression_solvers_multiclass_unpenalized[75-True]
- test_logistic_regressioncv_class_weights[75-weight-weight0]
- test_logistic_regressioncv_class_weights[75-weight-weight1]
- test_logistic_regressioncv_class_weights[75-balanced-weight0]
- test_logistic_regressioncv_class_weights[75-balanced-weight1]
- test_logistic_regression_sample_weights[75-lbfgs-single]
- test_logistic_regression_sample_weights[75-lbfgs-cv]
- test_logistic_regression_solver_class_weights[75-lbfgs]
- test_logistic_regression_class_weights[<lambda>]
- test_logistic_regression_class_weights[csr_matrix]
- test_logistic_regression_class_weights[csr_array]
- test_logistic_regression_multinomial
- test_logreg_intercept_scaling_zero
- test_logreg_predict_proba_multinomial
- test_max_iter[lbfgs-lbfgs failed to converge-ovr-max_iter0]
- test_max_iter[lbfgs-lbfgs failed to converge-ovr-max_iter1]
- test_max_iter[lbfgs-lbfgs failed to converge-ovr-max_iter2]
- test_max_iter[lbfgs-lbfgs failed to converge-ovr-max_iter3]
- test_max_iter[lbfgs-lbfgs failed to converge-multinomial-max_iter0]
- test_max_iter[lbfgs-lbfgs failed to converge-multinomial-max_iter1]
- test_max_iter[lbfgs-lbfgs failed to converge-multinomial-max_iter2]
- test_max_iter[lbfgs-lbfgs failed to converge-multinomial-max_iter3]
- test_n_iter[lbfgs]
- test_warm_start[True-True-lbfgs]
- test_warm_start[True-False-lbfgs]
- test_warm_start[False-True-lbfgs]
- test_warm_start[False-False-lbfgs]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_estimators_overwrite_params]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_dont_overwrite_parameters]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_estimators_fit_returns_self]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_readonly_memmap_input]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_n_features_in_after_fitting]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_positive_only_tag_during_fit]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_dtype_object]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_estimators_nan_inf]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_estimator_sparse_tag]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_estimator_sparse_array]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_estimator_sparse_matrix]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_f_contiguous_array_estimator]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_classifier_data_not_an_array]
- test_logistic_regression_multi_class_auto[lbfgs-LogisticRegression]
- test_logistic_regression_multi_class_auto[lbfgs-LogisticRegressionCV]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_supervised_y_2d]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_decision_proba_consistency]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_methods_sample_order_invariance]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_methods_subset_invariance]
- test_penalty_none[lbfgs]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_fit_idempotent]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_fit_check_is_fitted]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_n_features_in]
- test_estimators[FixedThresholdClassifier(estimator=LogisticRegression(C=1))-check_fit2d_predict1d]
- test_multinomial_identifiability_on_iris[False-lbfgs]
- test_multinomial_identifiability_on_iris[False-newton-cg]
- test_estimators[GammaRegressor(max_iter=5)-check_estimators_overwrite_params]
- test_multinomial_identifiability_on_iris[False-newton-cholesky]
- test_estimators[GammaRegressor(max_iter=5)-check_dont_overwrite_parameters]
- test_multinomial_identifiability_on_iris[True-lbfgs]
- test_estimators[GammaRegressor(max_iter=5)-check_estimators_fit_returns_self]
- test_estimators[GammaRegressor(max_iter=5)-check_readonly_memmap_input]
- test_multinomial_identifiability_on_iris[True-newton-cg]
- test_estimators[GammaRegressor(max_iter=5)-check_n_features_in_after_fitting]
- test_multinomial_identifiability_on_iris[True-newton-cholesky]
- test_sample_weight_not_modified[class_weight0-ovr]
- test_sample_weight_not_modified[class_weight0-multinomial]
- test_sample_weight_not_modified[class_weight0-auto]
- test_estimators[GammaRegressor(max_iter=5)-check_positive_only_tag_during_fit]
- test_sample_weight_not_modified[balanced-ovr]
- test_estimators[GammaRegressor(max_iter=5)-check_sample_weights_pandas_series]
- test_sample_weight_not_modified[balanced-multinomial]
- test_estimators[GammaRegressor(max_iter=5)-check_sample_weights_not_an_array]
- test_sample_weight_not_modified[balanced-auto]
- test_estimators[GammaRegressor(max_iter=5)-check_sample_weights_list]
- test_large_sparse_matrix[75-csr_matrix-lbfgs]
- test_estimators[GammaRegressor(max_iter=5)-check_sample_weights_shape]
- test_large_sparse_matrix[75-csr_array-lbfgs]
- test_estimators[GammaRegressor(max_iter=5)-check_sample_weights_not_overwritten]
- test_lr_cv_scores_differ_when_sample_weight_is_requested
- test_estimators[GammaRegressor(max_iter=5)-check_sample_weight_equivalence_on_dense_data]
- test_lr_cv_scores_without_enabling_metadata_routing
- test_estimators[GammaRegressor(max_iter=5)-check_sample_weight_equivalence_on_sparse_data]
- test_zero_max_iter[lbfgs]
- test_estimators[GammaRegressor(max_iter=5)-check_dtype_object]
- test_multi_class_deprecated
- test_newton_cholesky_fallback_to_lbfgs[75]
- test_estimators[GammaRegressor(max_iter=5)-check_estimators_nan_inf]
- test_estimators[GammaRegressor(max_iter=5)-check_estimator_sparse_tag]
- test_estimators[GammaRegressor(max_iter=5)-check_estimator_sparse_array]
- test_estimators[GammaRegressor(max_iter=5)-check_estimator_sparse_matrix]
- test_estimators[GammaRegressor(max_iter=5)-check_f_contiguous_array_estimator]
- test_estimators[GammaRegressor(max_iter=5)-check_regressors_train]
- test_estimators[GammaRegressor(max_iter=5)-check_regressors_train(readonly_memmap=True)]
- test_estimators[GammaRegressor(max_iter=5)-check_regressors_train(readonly_memmap=True,X_dtype=float32)]
- test_estimators[GammaRegressor(max_iter=5)-check_regressor_data_not_an_array]
- test_quantile_equals_huber_for_low_epsilon[True]
- test_quantile_equals_huber_for_low_epsilon[False]
- test_estimators[GammaRegressor(max_iter=5)-check_supervised_y_2d]
- test_estimators[GammaRegressor(max_iter=5)-check_regressors_int]
- test_estimators[GammaRegressor(max_iter=5)-check_non_transformer_estimators_n_iter]
- test_estimators[GammaRegressor(max_iter=5)-check_methods_sample_order_invariance]
- test_estimators[GammaRegressor(max_iter=5)-check_methods_subset_invariance]
- test_estimators[GammaRegressor(max_iter=5)-check_fit_idempotent]
- test_estimators[GammaRegressor(max_iter=5)-check_fit_check_is_fitted]
- test_estimators[GammaRegressor(max_iter=5)-check_n_features_in]
- test_estimators[GammaRegressor(max_iter=5)-check_fit2d_predict1d]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_estimators_overwrite_params]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_dont_overwrite_parameters]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_estimators_fit_returns_self]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_readonly_memmap_input]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_n_features_in_after_fitting]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_positive_only_tag_during_fit]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_dtype_object]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_estimators_nan_inf]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_estimator_sparse_tag]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_estimator_sparse_array]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_estimator_sparse_matrix]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_f_contiguous_array_estimator]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_classifier_data_not_an_array]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_classifiers_one_label_sample_weights]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_decision_proba_consistency]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_methods_sample_order_invariance]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_methods_subset_invariance]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_fit_idempotent]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_fit_check_is_fitted]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_n_features_in]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_grid={'C':[0.1,1.0]})-check_fit2d_predict1d]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_estimators_overwrite_params]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_dont_overwrite_parameters]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_estimators_fit_returns_self]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_readonly_memmap_input]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_n_features_in_after_fitting]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_positive_only_tag_during_fit]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_dtype_object]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_estimators_nan_inf]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_estimator_sparse_tag]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_estimator_sparse_array]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_estimator_sparse_matrix]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_f_contiguous_array_estimator]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_classifier_data_not_an_array]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_decision_proba_consistency]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_methods_sample_order_invariance]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_methods_subset_invariance]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_fit_idempotent]
- test_sag_pobj_matches_logistic_regression[csr_matrix]
- test_sag_pobj_matches_logistic_regression[csr_array]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_fit_check_is_fitted]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_n_features_in]
- test_estimators[GridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_grid={'logisticregression__C':[0.1,1.0]})-check_fit2d_predict1d]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_estimators_overwrite_params]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_dont_overwrite_parameters]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_estimators_fit_returns_self]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_readonly_memmap_input]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_n_features_in_after_fitting]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_positive_only_tag_during_fit]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_dtype_object]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_estimator_sparse_tag]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_estimator_sparse_array]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_estimator_sparse_matrix]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_f_contiguous_array_estimator]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_classifier_data_not_an_array]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_decision_proba_consistency]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_methods_sample_order_invariance]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_methods_subset_invariance]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_fit_idempotent]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_fit_check_is_fitted]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_n_features_in]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),min_resources='smallest',param_grid={'C':[0.1,1.0]},random_state=0)-check_fit2d_predict1d]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_estimators_overwrite_params]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_dont_overwrite_parameters]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_estimators_fit_returns_self]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_readonly_memmap_input]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_n_features_in_after_fitting]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_positive_only_tag_during_fit]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_dtype_object]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_estimator_sparse_tag]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_estimator_sparse_array]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_estimator_sparse_matrix]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_f_contiguous_array_estimator]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_classifier_data_not_an_array]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_decision_proba_consistency]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_methods_sample_order_invariance]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_methods_subset_invariance]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_fit_idempotent]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_fit_check_is_fitted]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_n_features_in]
- test_estimators[HalvingGridSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),min_resources='smallest',param_grid={'logisticregression__C':[0.1,1.0]},random_state=0)-check_fit2d_predict1d]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_estimators_overwrite_params]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_dont_overwrite_parameters]
- test_top_k_accuracy_score_increasing
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_estimators_fit_returns_self]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_readonly_memmap_input]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_n_features_in_after_fitting]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_positive_only_tag_during_fit]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_dtype_object]
- test_thresholded_scorers
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_estimator_sparse_tag]
- test_multiclass_roc_proba_scorer[roc_auc_ovr-metric0]
- test_multiclass_roc_proba_scorer[roc_auc_ovo-metric1]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_estimator_sparse_array]
- test_multiclass_roc_proba_scorer[roc_auc_ovr_weighted-metric2]
- test_multiclass_roc_proba_scorer[roc_auc_ovo_weighted-metric3]
- test_multiclass_roc_proba_scorer_label
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_estimator_sparse_matrix]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_f_contiguous_array_estimator]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_classifier_data_not_an_array]
- test_scorer_select_proba_error[non-thresholded scorer]
- test_scorer_select_proba_error[probability scorer]
- test_scorer_select_proba_error[thresholded scorer]
- test_scorer_no_op_multiclass_select_proba
- test_metadata_kwarg_conflict
- test_get_scorer_multimetric[True]
- test_get_scorer_multimetric[False]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_decision_proba_consistency]
- test_check_scoring_multimetric_raise_exc
- test_curve_scorer
- test_curve_scorer_pos_label[75]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_methods_sample_order_invariance]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_methods_subset_invariance]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_fit_idempotent]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_fit_check_is_fitted]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_n_features_in]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=LogisticRegression(),param_distributions={'C':[0.1,1.0]},random_state=0)-check_fit2d_predict1d]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_distributions={'logisticregression__C':[0.1,1.0]},random_state=0)-check_estimators_overwrite_params]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_distributions={'logisticregression__C':[0.1,1.0]},random_state=0)-check_dont_overwrite_parameters]
- test_fit_and_score_over_thresholds_curve_scorers
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_distributions={'logisticregression__C':[0.1,1.0]},random_state=0)-check_estimators_fit_returns_self]
- test_fit_and_score_over_thresholds_sample_weight
- test_threshold_classifier_estimator_response_methods[FixedThresholdClassifier-predict_proba-estimator0]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_distributions={'logisticregression__C':[0.1,1.0]},random_state=0)-check_readonly_memmap_input]
- test_threshold_classifier_estimator_response_methods[FixedThresholdClassifier-predict_log_proba-estimator0]
- test_threshold_classifier_estimator_response_methods[FixedThresholdClassifier-decision_function-estimator0]
- test_threshold_classifier_estimator_response_methods[TunedThresholdClassifierCV-predict_proba-estimator0]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_distributions={'logisticregression__C':[0.1,1.0]},random_state=0)-check_n_features_in_after_fitting]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_distributions={'logisticregression__C':[0.1,1.0]},random_state=0)-check_positive_only_tag_during_fit]
- test_threshold_classifier_estimator_response_methods[TunedThresholdClassifierCV-predict_log_proba-estimator0]
- test_estimators[HalvingRandomSearchCV(cv=2,error_score='raise',estimator=Pipeline(steps=[('pca',PCA()),('logisticregression',LogisticRegression())]),param_distributions={'logisticregression__C':[0.1,1.0]},ran
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COMMENT:
The nightly also fails to run `Windows pymin_conda_forge_mkl`, it just doesn't produce output, because it gets aborted.

It shows as a timeout error, but seems caused by a [Fatal Python error: Aborted](https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=77588&view=logs&j=84d10a00-2692-50a3-2b29-4c80601878c4&t=1a51facf-9cef-51f9-44a0-799698e8cdc3&l=734). 

I have looked into the usual time it takes to run this job and it is between 22 and 30 minutes. So I think that is not just that we have added a new test and now it takes longer and crosses the 60 minutes threshold, but an actual cause which fits with the Fatal Python Error as something more severe. Maybe it was #31552 that has latest updated `pymin_conda_forge_mkl`? Otherwise, it would be intersting to see which tests fail, but how without a Windows machine?

This Windows CI error shows on several recent runs on PRs.

Labels: Needs Triage, Needs Investigation