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pairwise_distances — scikit-learn 1.8.0 documen...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
lasso_path — scikit-learn 1.8.0 documentation
array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]])...T >>> y = np . array ([ 1 , 2 , 3.1 ]) >>> # Use lasso_path to...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
mean_absolute_percentage_error — scikit-learn 1...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...y_true = [ 1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
dbscan — scikit-learn 1.8.0 documentation
1, 2, 3, 4]) >>> labels array([ 0, 0, 0, 1, 1, -1]) On this...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/dbscan-function.html -
label_ranking_average_precision_score — scikit-...
1 ], [ 1 , 0.2 , 0.1 ]]) >>> label_ranki...y_true = np . array ([[ 1 , 0 , 0 ], [ 0 , 0 , 1 ]]) >>> y_score =...scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_average_precision_score.html -
Nystroem — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also AdditiveChi2Sampler...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
affinity_propagation — scikit-learn 1.8.0 docum...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...>>> labels array([0, 0, 0, 1, 1, 1]) Gallery examples # Visualizing...scikit-learn.org/stable/modules/generated/sklearn.cluster.affinity_propagation.html -
GroupShuffleSplit — scikit-learn 1.8.0 document...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1 5 6 7], group=[1...shape = ( 8 , 1 )) >>> groups = np . array ([ 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
FeatureHasher — scikit-learn 1.8.0 documentation
-1., 0., -1., 0., 1.], [ 0., 0., 0., -1., 0., -1., 0., 0.],...0.], [ 0., -1., 0., 0., 0., 0., 0., 1.]]) fit ( X = None , y...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
compute_class_weight — scikit-learn 1.8.0 docum...
compute_class_weight >>> y = [ 1 , 1 , 1 , 1 , 0 , 0 ] >>> compute_class_weight...unique ( y ), y = y ) array([1.5 , 0.75]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_class_weight.html