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all_functions — scikit-learn 1.7.1 documentation
utils.discovery. all_functions ( ) [source] # Get a list of all functions...all_functions () >>> name , function = functions [ 0 ] >>> name 'accuracy_score'...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_functions.html -
sklearn — scikit-learn 1.7.1 documentation
scikit-learn configuration. set_config Set global scikit-learn...to top Ctrl + K GitHub Choose version sklearn # Configure global...scikit-learn.org/stable/api/sklearn.html -
BaggingClassifier — scikit-learn 1.7.1 document...
n_estimators = 10 , * , max_samples = 1.0 , max_features = 1.0 , bootstrap...databases and on-line”, Machine Learning, 36(1), 85-103, 1999. [ 2 ] L....scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
MinCovDet — scikit-learn 1.7.1 documentation
real_cov = np . array ([[ .8 , .3 ], ... [ .3 , .4 ]]) >>> rng =...>>> cov . covariance_ array([[0.7411, 0.2535], [0.2535, 0.3053]])...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
MultiOutputClassifier — scikit-learn 1.7.1 docu...
predict ( X [ - 2 :]) array([[1, 1, 1], [1, 0, 1]]) fit ( X , Y ,...MultiOutputClassifie ( LogisticRegression ()) . fit ( X , y ) >>> clf . predict...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputClassifier.html -
SelectKBest — scikit-learn 1.7.1 documentation
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...tasks. Added in version 0.18. k int or “all”, default=10 Number...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
GenericUnivariateSelect — scikit-learn 1.7.1 do...
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...scores. mode {‘percentile’, ‘k_best’, ‘fpr’, ‘fdr’, ‘fwe’}, default=’percentile’...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
RBFSampler — scikit-learn 1.7.1 documentation
1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...https://people.eecs.berkeley.edu/~brecht/papers/08.rah.rec.nips.pdf ) Examples >>>...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
calibration_curve — scikit-learn 1.7.1 document...
np . array ([ 0.1 , 0.2 , 0.3 , 0.4 , 0.65 , 0.7 , 0.8 , 0.9...y_true = np . array ([ 0 , 0 , 0 , 0 , 1 , 1 , 1 , 1 , 1 ]) >>> y_pred...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html -
BiclusterMixin — scikit-learn 1.7.1 documentation
= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...bicluster . get_indices ( 0 ) (array([0, 1, 2, 3, 4, 5]), array([0,...scikit-learn.org/stable/modules/generated/sklearn.base.BiclusterMixin.html