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sklearn.datasets — scikit-learn 1.8.0 doc...
Generate the "Friedman #1" regression problem. make_friedman2...scikit-learn.org/stable/api/sklearn.datasets.html -
DBSCAN — scikit-learn 1.8.0 documentation
1, 1, -1]) >>> clustering...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html -
DummyClassifier — scikit-learn 1.8.0 docu...
([ - 1 , 1 , 1 , 1 ]) >>> y = np . array ([ 0 , 1 , 1...dummy_clf . predict ( X ) array([1, 1, 1, 1]) >>> dummy_clf...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
OneVsOneClassifier — scikit-learn 1.8.0 d...
1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
learning_curve — scikit-learn 1.8.0 docum...
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
Combine predictors using stacking — sciki...
versionadded:: 1.1 The 'prefit' option was added in 1.1 .. note::...versionchanged:: 1.1 Added option 'quantile'. .. versionchanged:: 1.3 Added...scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html -
GaussianMixture — scikit-learn 1.8.0 docu...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 10 , 2 ],...GaussianMixture ( n_components = 1 , * , covariance_type = 'full'...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
dict_learning — scikit-learn 1.8.0 docume...
1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html -
SelectFromModel — scikit-learn 1.8.0 docu...
[ - 1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65...version 0.20. Changed in version 1.1: max_features accepts a callable....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
VarianceThreshold — scikit-learn 1.8.0 do...
1 , 4 , 3 ], [ 0 , 1 , 1 , 3 ]] >>>...fit_transform ( X ) array([[2, 0], [1, 4], [1, 1]]) fit ( X , y = None )...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html