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chi2 — scikit-learn 1.7.1 documentation
1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0 , 0 , 0 ]])...np . array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 ,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
mutual_info_regression — scikit-learn 1.7.1 doc...
42 ... ) >>> mutual_info_regression ( X , y ) array([0.117, 2.645,...Sets”. PLoS ONE 9(2), 2014. [ 4 ] L. F. Kozachenko, N. N. Leonenko,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
PCA — scikit-learn 1.7.1 documentation
version 1.1. power_iteration_normalizer {‘auto’, ‘QR’, ‘LU’, ‘none’},...‘covariance_eigh’, ‘arpack’, ‘randomized’}, default=’auto’ “auto” : The...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
IsolationForest — scikit-learn 1.7.1 documentation
max_samples = 'auto' , contamination = 'auto' , max_features = 1.0 , bootstrap...from 0.1 to 'auto' . max_features int or float, default=1.0 The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
AdaBoostRegressor — scikit-learn 1.7.1 document...
predict ([[ 0 , 0 , 0 , 0 ]]) array([4.7972]) >>> regr . score ( X ,...{‘linear’, ‘square’, ‘exponential’}, default=’linear’ The loss function...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
cosine_similarity — scikit-learn 1.7.1 document...
= [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 ,..., 1 , 0 ]] >>> cosine_similarity ( X , Y ) array([[0. , 0. ],...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html -
RocCurveDisplay — scikit-learn 1.7.1 documentation
0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr , tpr , thresholds = metrics...np . array ([ 0 , 0 , 1 , 1 ]) >>> y_score = np . array ([ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
ConfusionMatrixDisplay — scikit-learn 1.7.1 doc...
classes_ ) >>> disp . plot () <...> >>> plt . show () classmethod...Sample weights. normalize {‘true’, ‘pred’, ‘all’}, default=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.ConfusionMatrixDisplay.html -
ClassifierChain — scikit-learn 1.7.1 documentation
array([[1., 1., 0.], [1., 0., 0.], [0., 1., 0.]]) >>> chain . predict_proba...matrix Y.: order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The...scikit-learn.org/stable/modules/generated/sklearn.multioutput.ClassifierChain.html -
normalized_mutual_info_score — scikit-learn 1.7...
fo_score ([ 0 , 0 , 1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> norm...fo_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html