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Kernel — scikit-learn 1.7.2 documentation
length_scale = 1.0 ): ... self . length_scale =...>>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html -
v_measure_score — scikit-learn 1.7.2 docu...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> v_measure_score...v_measure_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
make_low_rank_matrix — scikit-learn 1.7.2...
profile is: ( 1 - tail_strength ) * exp ( - 1.0 * ( i / effective_rank...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Release...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html -
label_binarize — scikit-learn 1.7.2 docum...
label_binarize ([ 1 , 6 ], classes = [ 1 , 2 , 4 , 6 ]) array([[1, 0, 0,...label_binarize ([ 1 , 6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
OrthogonalMatchingPursuit — scikit-learn ...
either set to 10% of n_features or 1, whichever is greater. tol float,...either set to 10% of n_features or 1, whichever is greater. n_features_in_...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
GraphicalLassoCV — scikit-learn 1.7.2 doc...
means 1 unless in a joblib.parallel_backend context. -1 means...0.2 , 0.0 , 0.3 , 0.1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
MultiOutputRegressor — scikit-learn 1.7.2...
means 1 unless in a joblib.parallel_backend context. -1 means...X [[ 0 ]]) array([[176, 35.1, 57.1]]) fit ( X , y , sample_weight...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
classification_report — scikit-learn 1.7....
50 1.00 0.67 1 class 1 0.00 0.00 0.00 1 class 2 1.00 0.67...y_pred = [ 1 , 1 , 0 ] >>> y_true = [ 1 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
rand_score — scikit-learn 1.7.2 documenta...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...rand_score ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) 0.83 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
OneClassSVM — scikit-learn 1.7.2 document...
predict ( X ) array([-1, 1, 1, 1, -1]) >>> clf . score_samples...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html