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make_scorer — scikit-learn 1.7.2 documentation
Added in version 1.4. Deprecated since version 1.6: None is equivalent...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
cross_val_predict — scikit-learn 1.7.2 document...
means 1 unless in a joblib.parallel_backend context. -1 means...GroupKFold ). Changed in version 1.4: groups can only be passed if...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
make_low_rank_matrix — scikit-learn 1.7.2 docum...
profile is: ( 1 - tail_strength ) * exp ( - 1.0 * ( i / effective_rank...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Release...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html -
8.3. Generated datasets — scikit-learn 1.7.2 do...
1.1. Single label # make_blobs creates..."n_informative" : 1 , "n_clusters_per_class" : 1 , "n_classes" :...scikit-learn.org/stable/datasets/sample_generators.html -
Release History — scikit-learn 1.7.2 documentation
Version 1.2.0 Version 1.1 Version 1.1.3 Version 1.1.2 Version 1.1.1...1.1.1 Version 1.1.0 Version 1.0 Version 1.0.2 Version 1.0.1 Version...scikit-learn.org/stable/whats_new.html -
Roadmap — scikit-learn 1.7.2 documentation
cross-version safety from version 1.0. Note: Gael and Olivier think...scikit-learn.org/stable/roadmap.html -
Feature discretization — scikit-learn 1.7.2 doc...
logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (..."linearsvc__C" : np . logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
Classifier comparison — scikit-learn 1.7.2 docu...
C = 1 , random_state = 42 ), GaussianProcessClass ( 1.0 * RBF...max_features = 1 , random_state = 42 ), MLPClassifier ( alpha = 1 , max_iter...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
load_wine — scikit-learn 1.7.2 documentation
1, 2]) >>> list ( data . target_names...[np.str_('class_0'), np.str_('class_1'), np.str_('class_2')] Gallery...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
ledoit_wolf — scikit-learn 1.7.2 documentation
regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html