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dbscan — scikit-learn 1.6.0 documentation
1, 2, 3, 4]) >>> labels array([ 0, 0, 0, 1, 1, -1]) On this...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/dbscan-function.html -
ExtraTreeRegressor — scikit-learn 1.6.0 documen...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...max_features=n_features . Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
AgglomerativeClustering — scikit-learn 1.6.0 do...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...clustering . labels_ array([1, 1, 1, 0, 0, 0]) fit ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
FeatureHasher — scikit-learn 1.6.0 documentation
-1., 0., -1., 0., 1.], [ 0., 0., 0., -1., 0., -1., 0., 0.],...0.], [ 0., -1., 0., 0., 0., 0., 0., 1.]]) fit ( X = None , y...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
VotingRegressor — scikit-learn 1.6.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...KNeighborsRegressor () >>> X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
LabelSpreading — scikit-learn 1.6.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...Clamping factor. A value in (0, 1) that specifies the relative amount...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
TargetEncoder — scikit-learn 1.6.0 documentation
1 ] * 15 + [ 20.4 ] * 5 + [ 20.1 ] * 25 + [ 21.2...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Comparing...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html -
The Iris Dataset — scikit-learn 1.5.2 documenta...
1 ], c = iris . target ) ax . set...ylabel = iris . feature_names [ 1 ]) _ = ax . legend ( scatter ....scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html -
1.14. Semi-supervised learning — scikit-learn 1...
1.14.1. Self Training # This self-training...Ctrl + K GitHub Choose version 1.14. Semi-supervised learning #...scikit-learn.org/stable/modules/semi_supervised.html -
Sum — scikit-learn 1.6.0 documentation
y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...kernel takes two kernels \(k_1\) and \(k_2\) and combines them...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html