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MultiOutputClassifier — scikit-learn 1.7.0 docu...
( X [ - 2 :]) array([[1, 1, 1], [1, 0, 1]]) fit ( X , Y , sample_weight...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputClassifier.html -
LeavePOut — scikit-learn 1.7.0 documentation
3] Test: index=[0 1] Fold 1: Train: index=[1 3] Test: index=[0...index=[1 2] Fold 4: Train: index=[0 2] Test: index=[1 3] Fold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
MultiTaskLasso — scikit-learn 1.7.0 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 -
BaggingClassifier — scikit-learn 1.7.0 document...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
RANSACRegressor — scikit-learn 1.7.0 documentation
min_samples int (>= 1) or float ([0, 1]), default=None Minimum...min_samples is chosen as X.shape[1] + 1 . This parameter is highly...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
Gaussian Mixture Model Sine Curve — scikit-lear...
1 , 1 + index ) for i , ( mean , covar...random . normal ( 0 , 0.1 ) X [ i , 1 ] = 3.0 * ( np . sin ( x...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
TweedieRegressor — scikit-learn 1.7.0 documenta...
float64(1.600) >>> clf . predict ([[ 1 , 1 ], [ 3 , 4 ]])...Power Distribution 0 Normal 1 Poisson (1,2) Compound Poisson Gamma...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
RepeatedKFold — scikit-learn 1.7.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
MLPClassifier — scikit-learn 1.7.0 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 -
Bug triaging and issue curation — scikit-learn ...
issues # The following workflow [ 1 ] is a good way to approach issue...scikit-learn.org/stable/developers/bug_triaging.html