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DecisionTreeClassifier — scikit-learn 1.6.1 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 -
KBinsDiscretizer — scikit-learn 1.6.1 documenta...
[ 1., 1., 1., 0.], [ 2., 2., 2., 1.], [ 2., 2., 2.,...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
NearestCentroid — scikit-learn 1.6.1 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
LogisticRegressionCV — scikit-learn 1.6.1 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 -
AffinityPropagation — scikit-learn 1.6.1 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 1.6.1 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 -
LogisticRegression — scikit-learn 1.6.1 documen...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights..., C = 1.0 , fit_intercept = True , intercept_scaling = 1 , class_weight...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
ElasticNet — scikit-learn 1.6.1 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 1.6.1 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 -
Birch — scikit-learn 1.6.1 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