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sklearn.covariance — scikit-learn 1.7.1 documen...
Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...scikit-learn.org/stable/api/sklearn.covariance.html -
sklearn.ensemble — scikit-learn 1.7.1 documenta...
Ensemble-based methods for classification, regression and anomaly detection. User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.scikit-learn.org/stable/api/sklearn.ensemble.html -
gen_batches — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version gen_batches # sklearn.utils. gen_batches ( n , batch_...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
show_versions — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version show_versions # sklearn. show_versions ( ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.show_versions.html -
Imputing missing values with variants of Iterat...
1e-1 , 1e-1 , 1e-2 ) for ( name , impute_estimator..."IterativeImputer" ], axis = 1 , ) # plot california housing...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.html -
MinCovDet — scikit-learn 1.7.1 documentation
algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
Prediction Intervals for Gradient Boosting Regr...
common_params ) all_models [ "q %1.2f " % alpha ] = gbr . fit ( X_train...0.5 , 0.95 ]: metrics [ "pbl= %1.2f " % alpha ] = mean_pinball_loss...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
mean_gamma_deviance — scikit-learn 1.7.1 docume...
1 , 4 ] >>> y_pred = [ 0.5 , 0.5...mean_gamma_deviance ( y_true , y_pred ) 1.0568... On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html -
density — scikit-learn 1.7.1 documentation
between 0 and 1. Examples >>> from scipy import...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.density.html -
MethodMapping — scikit-learn 1.7.1 documentation
Added in version 1.3. add ( * , caller , callee )...scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MethodMapping.html