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Perceptron — scikit-learn 1.6.1 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 -
MiniBatchKMeans — scikit-learn 1.6.1 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...0 , 1 ], [ 2 , 2 ], ... [ 3 , 2 ], [ 5 , 5 ], [ 1 , - 1 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html -
SimpleImputer — scikit-learn 1.6.1 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...Added in version 1.2. Changed in version 1.6: Currently, when...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
GammaRegressor — scikit-learn 1.6.1 documentation
alpha = 1.0 , fit_intercept = True , solver...Parameters : alpha float, default=1 Constant that multiplies the L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
HuberRegressor — scikit-learn 1.6.1 documentation
epsilon = 1.35 , max_iter = 100 , alpha =...Parameters : epsilon float, default=1.35 The parameter epsilon controls...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
RegressorMixin — scikit-learn 1.6.1 documentation
array ([ - 1 , 0 , 1 ]) >>> estimator . fit ( X...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
DetCurveDisplay — scikit-learn 1.6.1 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 -
AdaBoostRegressor — scikit-learn 1.6.1 document...
the range [1, inf) . learning_rate float, default=1.0 Weight applied...n_estimators = 50 , learning_rate = 1.0 , loss = 'linear' , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
StackingClassifier — scikit-learn 1.6.1 documen...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
DictVectorizer — scikit-learn 1.6.1 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