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contingency_matrix — scikit-learn 1.6.0 documen...
labels_pred ) array([[1, 1, 0], [0, 1, 1], [1, 0, 1]]) On this page..., 0 , 1 , 1 , 2 , 2 ] >>> labels_pred = [ 1 , 0 , 2 , 1 , 0 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html -
cosine_distances — scikit-learn 1.6.0 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...cosine_distances ( X , Y ) array([[1. , 1. ], [0.42..., 0.18...]]) On...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html -
empirical_covariance — scikit-learn 1.6.0 docum...
scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html -
Linear and Quadratic Discriminant Analysis with...
0) and (1, 1) . Each blob is assigned a specific...cov_class_2 + np . array ([ 1 , 1 ]), ] ) y = np . concatenate...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html -
laplacian_kernel — scikit-learn 1.6.0 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...K(x, y) = exp(-gamma ||x-y||_1) for each pair of rows x in X...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html -
chi2_kernel — scikit-learn 1.7.dev0 documentation
[ 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/dev/modules/generated/sklearn.metrics.pairwise.chi2_kernel.html -
check_estimator — scikit-learn 1.6.0 documentation
since version 1.6: generate_only will be removed in 1.8. Use est...since version 1.6: generate_only will be removed in 1.8. Use est...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
Robust covariance estimation and Mahalanobis di...
where feature 1 has a standard deviation equal to 1 and feature...np . arange ( 1 , n_features ), np . arange ( 1 , n_features )]...scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html -
rbf_kernel — scikit-learn 1.6.0 documentation
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...default=None If None, defaults to 1.0 / n_features. Returns : kernel...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.rbf_kernel.html -
Comparison of Calibration of Classifiers — scik...
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