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How to optimize for speed — scikit-learn 1.7.de...
py : 18 ( _pos ) 1 0.053 0.053 1.681 1.681 nmf . py : 352 (...: 337 ( __init__ ) 1 0.000 0.000 1.681 1.681 nmf . py : 461 (...scikit-learn.org/dev/developers/performance.html -
mutual_info_classif — scikit-learn 1.6.0 docume...
means 1 unless in a joblib.parallel_backend context. -1 means...References [ 1 ] Mutual Information on Wikipedia. [ 2 ] ( 1 , 2 ) A....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html -
euclidean_distances — scikit-learn 1.7.dev0 doc...
1 ], [ 1 , 1 ]] >>> # distance between...(n_samples_Y,) or (n_samples_Y, 1) or (1, n_samples_Y), default=None...scikit-learn.org/dev/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html -
make_friedman2 — scikit-learn 1.6.0 documentation
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html -
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 -
cohen_kappa_score — scikit-learn 1.6.0 document...
which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.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 -
Feature transformations with ensembles of trees...
feature values for these leaves to 1 and the other feature values to..., 0.2 ) ax . set_ylim ( 0.8 , 1 ) _ = ax . set_title ( "ROC curve...scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.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