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TimeSeriesSplit — scikit-learn 1.5.2 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 ,...1] Test: index=[2] Fold 2: Train: index=[0 1 2] Test: index=[3]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
Release Highlights for scikit-learn 1.5 — sciki...
nothing; each false negative costs 2; each false positive costs 0.1...."all" ) . ravel () return tp - 2 * fn - 0.1 * fp print ( "Untuned...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
ShuffleSplit — scikit-learn 1.5.2 documentation
2 , 1 , 2 , 1 , 2 ]) >>> rs = ShuffleSplit...Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
GroupShuffleSplit — scikit-learn 1.5.2 document...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
GroupKFold — scikit-learn 1.5.2 documentation
Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1 4 5],...group=[0 0 3 3] Test: index=[2 3], group=[2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
RepeatedStratifiedKFold — scikit-learn 1.5.2 do...
index=[1 2] Fold 2: Train: index=[1 3] Test: index=[0 2] Fold 3:...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
MinCovDet — scikit-learn 1.5.2 documentation
(n_samples + n_features + 1) / 2 * n_samples . The parameter must...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
Lasso — scikit-learn 1.5.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...\(||y||_2^2 / n_{\text{samples}}\) . The target can be a 2-dimensional...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
LabelEncoder — scikit-learn 1.5.2 documentation
array([2, 2, 1]...) >>> list ( le . inverse_transform ([ 2 , 2 ,...LabelEncoder () >>> le . fit ([ 1 , 2 , 2 , 6 ]) LabelEncoder() >>> le...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
VotingClassifier — scikit-learn 1.5.2 documenta...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html