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affinity_propagation — scikit-learn 1.7.2 docum...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...>>> labels array([0, 0, 0, 1, 1, 1]) Gallery examples # Visualizing...scikit-learn.org/stable/modules/generated/sklearn.cluster.affinity_propagation.html -
cross_validate — scikit-learn 1.7.2 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
fetch_rcv1 — scikit-learn 1.7.2 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the RCV1 multilabel...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_rcv1.html -
Orthogonal Matching Pursuit — scikit-learn 1.7....
1 , 1 ) plt . xlim ( 0 , 512 ) plt...make_sparse_coded_signal ( n_samples = 1 , n_components = n_components...scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html -
validation_curve — scikit-learn 1.7.2 documenta...
means 1 unless in a joblib.parallel_backend context. -1 means...GroupKFold ). Changed in version 1.6: groups can only be passed if...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
fetch_covtype — scikit-learn 1.7.2 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the covertype...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html -
Caching nearest neighbors — scikit-learn 1.7.2 ...
= True ) n_neighbors_list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ,...fig , axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) axes...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
silhouette_samples — scikit-learn 1.7.2 documen...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
1.11. Ensembles: Gradient boosting, random fore...
Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...scikit-learn.org/stable/modules/ensemble.html -
is_clusterer — scikit-learn 1.7.2 documentation
Added in version 1.6. Parameters : estimator object...scikit-learn.org/stable/modules/generated/sklearn.base.is_clusterer.html