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shuffle — scikit-learn 1.5.2 documentation
1.], [1., 0.]]) >>> y array([2, 1, 0]) >>> shuffle...>>> X = np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
ExtraTreesClassifier — scikit-learn 1.5.2 docum...
[{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.ensemble.ExtraTreesClassifier.html -
RandomForestClassifier — scikit-learn 1.5.2 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.ensemble.RandomForestClassifier.html -
ClassifierMixin — scikit-learn 1.6.dev0 documen...
predict ( X ) array([1, 1, 1]) >>> estimator . score ( X...MyEstimator ( param = 1 ) >>> X = np . array ([[ 1 , 2 ], [ 2 , 3 ],...scikit-learn.org/dev/modules/generated/sklearn.base.ClassifierMixin.html -
pairwise_distances_argmin — scikit-learn 1.5.2 ...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html -
SGDOneClassSVM — scikit-learn 1.5.2 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...version 1.4: loss_function_ was deprecated in version 1.4 and will...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
RFECV — scikit-learn 1.5.2 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) property...estimator , * , step = 1 , min_features_to_select = 1 , cv = None , scoring...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
LinearDiscriminantAnalysis — scikit-learn 1.5.2...
([[ - 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.discriminant_analysis.LinearDiscriminantAnalysi... -
Hyperparameter — scikit-learn 1.5.2 documentation
n_elements = 1 , fixed = None ) [source] # A...the parameter. If n_elements>1, a pair of 1d array with n_elements...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
plot_tree — scikit-learn 1.5.2 documentation
“x[1]”, …). class_names array-like...scikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html