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StratifiedKFold — scikit-learn 1.6.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> skf = StratifiedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
MinCovDet — scikit-learn 1.7.dev0 documentation
algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...scikit-learn.org/dev/modules/generated/sklearn.covariance.MinCovDet.html -
GroupShuffleSplit — scikit-learn 1.6.0 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 -
PrecisionRecallDisplay — scikit-learn 1.6.0 doc...
Added in version 1.3. Attributes : line_ matplotlib...not plotted. Added in version 1.3. ax_ matplotlib Axes Axes with...scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
1. Supervised learning — scikit-learn 1.6.0 doc...
version 1. Supervised learning # 1.1. Linear Models 1.1.1. Ordinary...Lasso 1.1.4. Multi-task Lasso 1.1.5. Elastic-Net 1.1.6. Multi-task...scikit-learn.org/stable/supervised_learning.html -
DetCurveDisplay — scikit-learn 1.6.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html -
LogisticRegressionCV — scikit-learn 1.7.dev0 do...
means 1 unless in a joblib.parallel_backend context. -1 means...version 1.5: multi_class was deprecated in version 1.5 and will...scikit-learn.org/dev/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
silhouette_score — scikit-learn 1.7.dev0 docume...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/dev/modules/generated/sklearn.metrics.silhouette_score.html -
MLPClassifier — scikit-learn 1.6.0 documentation
:]) array([1, 0, 1, 0, 1]) >>> clf . score ( X_test..., validation_fraction = 0.1 , beta_1 = 0.9 , beta_2 = 0.999 ,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
MultiTaskLasso — scikit-learn 1.6.0 documentation
1 ) >>> clf . fit ([[ 0 , 1 ], [ 1 , 2 ], [ 2 ,...0 ], [ 1 , 1 ], [ 2 , 3 ]]) MultiTaskLasso(alpha=0.1) >>> print...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html