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ShuffleSplit — scikit-learn 1.8.0 documen...
array ([ 1 , 2 , 1 , 2 , 1 , 2 ]) >>> rs...Train: index=[1 3 0 4] Test: index=[5 2] Fold 1: Train: index=[4...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
cosine_distances — scikit-learn 1.8.0 doc...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...cosine_distances ( X , Y ) array([[1. , 1. ], [0.422, 0.183]]) On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html -
SelfTrainingClassifier — scikit-learn 1.8...
Added in version 1.6: estimator was added to replace...criterion='threshold' . Should be in [0, 1). When using the 'threshold' criterion,...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html -
compute_optics_graph — scikit-learn 1.8.0...
1.41, 1.41, 1. , 1. , 4.12]) >>>...min_samples int > 1 or float between 0 and 1 The number of samples...scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html -
cluster_optics_xi — scikit-learn 1.8.0 do...
1, 1, 1]) >>> clusters array([[0,...min_samples int > 1 or float between 0 and 1 The same as the min_samples...scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
fastica — scikit-learn 1.8.0 documentation
The implementation is based on [1] . Read more in the User Guide...performed. Changed in version 1.3: The default value of whiten...scikit-learn.org/stable/modules/generated/fastica-function.html -
VotingClassifier — scikit-learn 1.8.0 doc...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
SparseCoder — scikit-learn 1.8.0 document...
1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
AdditiveChi2Sampler — scikit-learn 1.8.0 ...
transformed into 2*sample_steps-1 features, where sample_steps is...values of sample_steps include 1, 2 and 3. Optimal choices for...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html -
LabelEncoder — scikit-learn 1.8.0 documen...
array([1, 2, 6]) >>> le . transform ([ 1 , 1 , 2 , 6...inverse_transform ([ 0 , 0 , 1 , 2 ]) array([1, 1, 2, 6]) It can also be used...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html