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NuSVR — scikit-learn 1.5.0 documentation
Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32...(0, 1]. By default 0.5 will be taken. C float, default=1.0 Penalty...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
DecisionTreeClassifier — scikit-learn 1.5.0 doc...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
AffinityPropagation — scikit-learn 1.5.0 docume...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2.... labels_ array([0, 0, 0, 1, 1, 1]) >>> clustering . predict...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
PolynomialCountSketch — scikit-learn 1.5.0 docu...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...Array with random entries in {+1, -1}, used to represent the 2-wise...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html -
LogisticRegressionCV — scikit-learn 1.5.0 docum...
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/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
TransformerMixin — scikit-learn 1.5.0 documenta...
fit_transform ( X ) array([1, 1, 1]) fit_transform ( X , y = None...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
Birch — scikit-learn 1.5.0 documentation
1 ], [ 0.3 , 1 ], [ - 0.3 , 1 ], [ 0 , - 1 ], [ 0.3...predict ( X ) array([0, 0, 0, 1, 1, 1]) fit ( X , y = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
SpectralBiclustering — scikit-learn 1.5.0 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([1, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
ElasticNet — scikit-learn 1.5.0 documentation
l1_ratio * || w || _1 + 0.5 * alpha * ( 1 - l1_ratio ) * || w...l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
LassoCV — scikit-learn 1.5.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...alpha * || w || _1 For multi-output tasks it is: ( 1 / ( 2 * n_samples...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html