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calibration_curve — scikit-learn 1.8.0 do...
1 , 1 , 1 , 1 , 1 ]) >>> y_pred...positive class. Added in version 1.1. n_bins int, default=5 Number...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html -
NuSVC — scikit-learn 1.8.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
is_multilabel — scikit-learn 1.8.0 docume...
1 , 0 , 1 ]) False >>> is_multilabel ([[ 1 ], [...is_multilabel ( np . array ([[ 1 , 0 ], [ 0 , 0 ]])) True >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.is_multilabel.html -
PrecisionRecallDisplay — scikit-learn 1.8...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...version 1.8: y_pred is deprecated and will be removed in 1.10. Use...scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
RidgeCV — scikit-learn 1.8.0 documentation
1, 1.0, 10.0) , * , fit_intercept...shape (n_alphas,), default=(0.1, 1.0, 10.0) Array of alpha values...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
LeaveOneGroupOut — scikit-learn 1.8.0 doc...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1], group=[1 1] Test:...([ 1 , 2 , 1 , 2 ]) >>> groups = np . array ([ 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
chi2_kernel — scikit-learn 1.8.0 document...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...chi2_kernel ( X , Y = None , gamma = 1.0 ) [source] # Compute the exponential...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.chi2_kernel.html -
ndcg_score — scikit-learn 1.8.0 documenta...
1.1 , 1. , .5 , .0 ]]) >>>...scores = np . asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
Comparison of Calibration of Classifiers —...
1 ) proba_neg_class = 1 - proba_pos_class proba...[( 2 , 0 ), ( 2 , 1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
mutual_info_score — scikit-learn 1.8.0 do...
1 , 1 , 0 , 1 , 0 ] >>> labels_pred = [ 0 , 1 , 0...as: \[MI(U,V)=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \frac{|U_i\cap...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html