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DecisionBoundaryDisplay — scikit-learn 1....
Added in version 1.1. Parameters : xx0 ndarray of...iris . data [:, 1 ] . min (), iris . data [:, 1 ] . max ()) ......scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
SparsePCA — scikit-learn 1.7.2 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...n_components = None , * , alpha = 1 , ridge_alpha = 0.01 , max_iter...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
DecisionTreeClassifier — scikit-learn 1.7...
[{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 -
TransformedTargetRegressor — scikit-learn...
reshape ( - 1 , 1 ) >>> y = np . exp...all strings. Added in version 1.0. See also sklearn.preproces...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
TheilSenRegressor — scikit-learn 1.7.2 do...
since version 1.6: copy_X was deprecated in 1.6 and will be removed...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
DecisionTreeRegressor — scikit-learn 1.7....
1: monotonic increase 0: no constraint -1: monotonic...min_samples_split = 2 , min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
TransformerMixin — scikit-learn 1.7.2 doc...
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 -
KBinsDiscretizer — scikit-learn 1.7.2 doc...
[ 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 -
NuSVR — scikit-learn 1.7.2 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 -
SGDClassifier — scikit-learn 1.7.2 docume...
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...(clip(decision_function(X), -1, 1) + 1) / 2. For other loss functions...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html