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TimeSeriesSplit — scikit-learn 1.8.0 docu...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...index=[0] Test: index=[1] Fold 1: Train: index=[0 1] Test: index=[2]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.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 -
make_friedman2 — scikit-learn 1.8.0 docum...
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <=...** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.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 -
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 -
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 -
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 -
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 -
empirical_covariance — scikit-learn 1.8.0...
>>> X = [[ 1 , 1 , 1 ],[ 1 , 1 , 1 ],[ 1 , 1 , 1 ], ... [ 0 ,...scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html