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SelectFdr — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
QuantileTransformer — scikit-learn 1.8.0 docume...
Added in version 1.5: The option None to disable...all strings. Added in version 1.0. See also quantile_transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
6. Visualizations — scikit-learn 1.8.0 document...
1. Available Plotting Utilities # 6.1.1. Display Objects...the score (i.e. multiply by -1) if pos_label is not the last...scikit-learn.org/stable/visualizations.html -
fetch_olivetti_faces — scikit-learn 1.8.0 docum...
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the Olivetti...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
SelectPercentile — scikit-learn 1.8.0 documenta...
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
Gradient Boosting regularization — scikit-learn...
random_state = 1 ) # map labels from {-1, 1} to {0, 1} labels , y...{ "learning_rate" : 1.0 , "subsample" : 1.0 }), ( "learning_rate=0.2"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
Vector Quantization Example — scikit-learn 1.8....
bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
Wikipedia principal eigenvector — scikit-learn ...
1 )[ 1 ] page_links_url = "http:/...page_links_url . rsplit ( "/" , 1 )[ 1 ] resources = [ ( redirects_url...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
MinCovDet — scikit-learn 1.8.0 documentation
algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
Probability Calibration curves — scikit-learn 1...
1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...calibrated_df , 0 , 1 ) proba_neg_class = 1 - proba_pos_class proba...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html