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Compare Stochastic learning strategies for MLPC...
638843 Training set loss: 1.855465 training: inv-scaling with...factor = 0.5 , random_state = 1 ), datasets . make_moons ( noise...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
Explicit feature map approximation for RBF kern...
reshape ( - 1 , data . shape [ 1 ]) # title for the plots...y_max]. plt . subplot ( 1 , 3 , i + 1 ) Z = clf . predict ( flat_grid...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Lasso model selection via information criteria ...
lasso_lars_ic [ - 1 ] . criterion_ , n_samples , lasso_lars_ic [ - 1 ] . noise_variance_...lasso_lars_ic [ - 1 ] . alphas_ == lasso_lars_ic [ - 1 ] . alpha_ )[...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html -
Swiss Roll And Swiss-Hole Reduction — scikit-le...
) axs [ 1 ] . scatter ( sr_tsne [:, 0 ], sr_tsne [:, 1 ], c =...) axs [ 1 ] . scatter ( sh_tsne [:, 0 ], sh_tsne [:, 1 ], c =...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
Poisson regression and non-normal loss — scikit...
Region 0 1.0 1 0.10000 D 5 0 55 50 B12 'Regular' 1217 R82 1 3.0 1...1 0.77000 D 5 0 55 50 B12 'Regular' 1217 R82 2 5.0 1 0.75000...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
orthogonal_mp_gram — scikit-learn 1.7.2 documen...
) >>> X [: 1 ,] @ coef array([-78.68]) On this...scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html -
Recursive feature elimination with cross-valida...
n_clusters_per_class = 1 , class_sep = 0.8 , random_state...StratifiedKFold min_features_to_select = 1 # Minimum number of features to...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html -
check_memory — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_memory # sklearn.utils.validation. check_memory...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_memory.html -
sklearn.experimental — scikit-learn 1.7.2 docum...
Importable modules that enable the use of experimental features or estimators.scikit-learn.org/stable/api/sklearn.experimental.html -
sklearn.exceptions — scikit-learn 1.7.2 documen...
Custom warnings and errors used across scikit-learn.scikit-learn.org/stable/api/sklearn.exceptions.html