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SGDRegressor — scikit-learn 1.8.0 documentation
l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....passive-aggressive algorithm 1, see [1] . Only with loss='epsilon_insensitive'...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
Perceptron — scikit-learn 1.8.0 documentation
l1_ratio <= 1 . l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
GaussianMixture — scikit-learn 1.8.0 documentation
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 -
PCA — scikit-learn 1.8.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...more details. Added in version 1.1. power_iteration_normalizer {‘auto’,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
DictVectorizer — scikit-learn 1.8.0 documentation
[{ 'foo' : 1 , 'bar' : 2 }, { 'foo' : 3 , 'baz' : 1 }] >>> X =...) >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>> v . inverse_transform...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
MiniBatchNMF — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 On this page...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html -
dict_learning — scikit-learn 1.8.0 documentation
1 ( U , V ) with || V_k || _2 = 1 for all 0 <= k...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html -
DBSCAN — scikit-learn 1.8.0 documentation
1, 1, -1]) >>> clustering DBSCAN(eps=3,...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 documentation
([ - 1 , 1 , 1 , 1 ]) >>> y = np . array ([ 0 , 1 , 1 , 1 ]) >>>...dummy_clf . predict ( X ) array([1, 1, 1, 1]) >>> dummy_clf . score (...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
OneVsOneClassifier — scikit-learn 1.8.0 documen...
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