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GroupShuffleSplit — scikit-learn 1.8.0 do...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1 5 6 7], group=[1...= ( 8 , 1 )) >>> groups = np . array ([ 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
FeatureHasher — scikit-learn 1.8.0 docume...
-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 -
MultiTaskLassoCV — scikit-learn 1.8.0 doc...
since version 1.7: n_alphas was deprecated in 1.7 and will be...since version 1.7: alphas=None was deprecated in 1.7 and will be...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
ElasticNet — scikit-learn 1.8.0 documenta...
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the...0.568], [ 0., 1.120, 0.620], [-0., -2.129, -1.128], [ 0., 23.046,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
LeaveOneOut — scikit-learn 1.8.0 document...
([[ 1 , 2 ], [ 3 , 4 ]]) >>> y = np . array ([ 1 , 2...0: Train: index=[1] Test: index=[0] Fold 1: Train: index=[0]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
Birch — scikit-learn 1.8.0 documentation
1 ], [ 0.3 , 1 ], [ - 0.3 , 1 ], [ 0 , - 1 ], [ 0.3...predict ( X ) array([0, 0, 0, 1, 1, 1]) For a comparison of the BIRCH...scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
roc_auc_score — scikit-learn 1.8.0 docume...
classes_[1] and thus estimator.predict_proba(X, y)[:, 1] . The...it is upper bounded by 1. References [ 1 ] Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
pairwise_distances_chunked — scikit-learn...
means 1 unless in a joblib.parallel_backend context. -1 means...D_chunk < r )) . mean ( axis = 1 ) ... return neigh , avg_dist...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html -
LassoCV — scikit-learn 1.8.0 documentation
since version 1.7: n_alphas was deprecated in 1.7 and will be...since version 1.7: alphas=None was deprecated in 1.7 and will be...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
homogeneity_completeness_v_measure — scik...
1 , 1 , 2 , 2 ], [ 0 , 0 , 1 , 2 , 2 , 2 ] >>>...float Score between 0.0 and 1.0. 1.0 stands for perfectly homogeneous...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html