Method hstack

sklearn/utils/_set_output.py:153–155 · view source on GitHub ↗

(self, Xs)

Source from the content-addressed store, hash-verified

151	return X
152
153	def hstack(self, Xs):
154	pd = check_library_installed("pandas")
155	return pd.concat(Xs, axis=1)
156
157
158	class PolarsAdapter:

transformMethod · 0.45

_transform_denseMethod · 0.45

_transform_sparseMethod · 0.45

predict_probaMethod · 0.45

_hstackMethod · 0.45

fitMethod · 0.45

test_fit_and_score_over_thresholds_sample_weightFunction · 0.45

test_tuned_threshold_classifier_without_constraint_valueFunction · 0.45

test_tuned_threshold_classifier_cv_zeros_sample_weights_equivalenceFunction · 0.45

test_validation_curve_cv_splits_consistencyFunction · 0.45

test_check_is_permutationFunction · 0.45

test_train_test_split_list_inputFunction · 0.45

check_library_installedFunction · 0.85

test_fit_and_score_over_thresholds_sample_weightFunction · 0.36

test_tuned_threshold_classifier_without_constraint_valueFunction · 0.36

test_tuned_threshold_classifier_cv_zeros_sample_weights_equivalenceFunction · 0.36

test_validation_curve_cv_splits_consistencyFunction · 0.36

test_check_is_permutationFunction · 0.36

test_train_test_split_list_inputFunction · 0.36

test_stratifiedshufflesplit_list_inputFunction · 0.36

__init__Method · 0.36

test_bayesian_mixture_weightsFunction · 0.36

test_lof_duplicate_samplesFunction · 0.36

test_incremental_variance_ddofFunction · 0.36

test_pandas_adapterFunction · 0.36