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pair_confusion_matrix — scikit-learn 1.7....
1 , 1 ], [ 1 , 1 , 0 , 0 ]) array([[8,...pair_confusion_matrix ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) array([[8, 2],...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
BiclusterMixin — scikit-learn 1.7.2 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...np . ones ( shape = ( 1 , X . shape [ 1 ]), dtype = bool ) ......scikit-learn.org/stable/modules/generated/sklearn.base.BiclusterMixin.html -
add_dummy_feature — scikit-learn 1.7.2 do...
1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...add_dummy_feature ( X , value = 1.0 ) [source] # Augment dataset...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
config_context — scikit-learn 1.7.2 docum...
Added in version 1.1. enable_cython_pairwise_dist...configuration setting. Added in version 1.1. array_api_dispatch bool, default=None...scikit-learn.org/stable/modules/generated/sklearn.config_context.html -
LeavePOut — scikit-learn 1.7.2 documentation
3] Test: index=[0 1] Fold 1: Train: index=[1 3] Test: index=[0...index=[1 2] Fold 4: Train: index=[0 2] Test: index=[1 3] Fold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
chi2_kernel — scikit-learn 1.7.2 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 -
SelectFwe — scikit-learn 1.7.2 documentation
Added in version 1.0. See also f_classif ANOVA F-value......, "x(n_features_in_ - 1)"] . If input_features is...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
SelectFdr — scikit-learn 1.7.2 documentation
Added in version 1.0. See also f_classif ANOVA F-value......, "x(n_features_in_ - 1)"] . If input_features is...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
nan_euclidean_distances — scikit-learn 1....
6] and [1, na, 4, 5] is: \[\sqrt{\frac{4}{2}((3-1)^2 + (6-5)^2)}\]...) >>> X = [[ 0 , 1 ], [ 1 , nan ]] >>> nan...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
precision_recall_fscore_support — scikit-...
beta = 1.0 , labels = None , pos_label = 1 , average = None...score reaches its best value at 1 and worst score at 0. The F-beta...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html