:orphan:

.. _sphx_glr_sg_execution_times:


Computation times
=================
**23:23.043** total execution time for 291 files **from all galleries**:

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  .. list-table::
   :header-rows: 1
   :class: table table-striped sg-datatable

   * - Example
     - Time
     - Mem (MB)
   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py` (``../examples/release_highlights/plot_release_highlights_0_24_0.py``)
     - 01:14.695
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_outlier_detection_bench.py` (``../examples/miscellaneous/plot_outlier_detection_bench.py``)
     - 01:00.523
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_early_stopping.py` (``../examples/linear_model/plot_sgd_early_stopping.py``)
     - 00:59.197
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py` (``../examples/ensemble/plot_forest_hist_grad_boosting_comparison.py``)
     - 00:54.562
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_co2.py` (``../examples/gaussian_process/plot_gpr_co2.py``)
     - 00:45.839
     - 0.0
   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``../examples/release_highlights/plot_release_highlights_1_2_0.py``)
     - 00:44.704
     - 0.0
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_select_from_model_diabetes.py` (``../examples/feature_selection/plot_select_from_model_diabetes.py``)
     - 00:44.292
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``../examples/compose/plot_compare_reduction.py``)
     - 00:43.483
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``../examples/preprocessing/plot_target_encoder.py``)
     - 00:32.789
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_stack_predictors.py` (``../examples/ensemble/plot_stack_predictors.py``)
     - 00:29.296
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py` (``../examples/model_selection/plot_grid_search_text_feature_extraction.py``)
     - 00:28.407
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``../examples/decomposition/plot_image_denoising.py``)
     - 00:27.863
     - 0.0
   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_4_0.py` (``../examples/release_highlights/plot_release_highlights_1_4_0.py``)
     - 00:27.320
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``../examples/svm/plot_svm_scale_c.py``)
     - 00:24.277
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``../examples/model_selection/plot_learning_curve.py``)
     - 00:23.725
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_poisson_regression_non_normal_loss.py` (``../examples/linear_model/plot_poisson_regression_non_normal_loss.py``)
     - 00:22.955
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``../examples/applications/plot_face_recognition.py``)
     - 00:22.070
     - 0.0
   * - :ref:`sphx_glr_auto_examples_kernel_approximation_plot_scalable_poly_kernels.py` (``../examples/kernel_approximation/plot_scalable_poly_kernels.py``)
     - 00:20.979
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_partial_dependence.py` (``../examples/inspection/plot_partial_dependence.py``)
     - 00:20.546
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multiclass_plot_multiclass_overview.py` (``../examples/multiclass/plot_multiclass_overview.py``)
     - 00:18.937
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``../examples/applications/plot_model_complexity_influence.py``)
     - 00:18.200
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py` (``../examples/inspection/plot_linear_model_coefficient_interpretation.py``)
     - 00:17.747
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``../examples/applications/plot_prediction_latency.py``)
     - 00:16.832
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_swissroll.py` (``../examples/manifold/plot_swissroll.py``)
     - 00:16.777
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_lle_digits.py` (``../examples/manifold/plot_lle_digits.py``)
     - 00:15.437
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``../examples/cluster/plot_hdbscan.py``)
     - 00:15.242
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_categorical.py` (``../examples/ensemble/plot_gradient_boosting_categorical.py``)
     - 00:14.872
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_time_series_lagged_features.py` (``../examples/applications/plot_time_series_lagged_features.py``)
     - 00:14.788
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``../examples/applications/plot_cyclical_feature_engineering.py``)
     - 00:12.966
     - 0.0
   * - :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``../examples/bicluster/plot_bicluster_newsgroups.py``)
     - 00:12.913
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_compare_methods.py` (``../examples/manifold/plot_compare_methods.py``)
     - 00:11.760
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_johnson_lindenstrauss_bound.py` (``../examples/miscellaneous/plot_johnson_lindenstrauss_bound.py``)
     - 00:11.391
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``../examples/applications/plot_digits_denoising.py``)
     - 00:11.345
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``../examples/model_selection/plot_permutation_tests_for_classification.py``)
     - 00:11.248
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``../examples/applications/plot_topics_extraction_with_nmf_lda.py``)
     - 00:11.222
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``../examples/applications/plot_species_distribution_modeling.py``)
     - 00:10.812
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``../examples/applications/plot_tomography_l1_reconstruction.py``)
     - 00:09.684
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``../examples/model_selection/plot_grid_search_digits.py``)
     - 00:09.567
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``../examples/applications/plot_out_of_core_classification.py``)
     - 00:09.508
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_oob.py` (``../examples/ensemble/plot_gradient_boosting_oob.py``)
     - 00:09.296
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_quantile.py` (``../examples/ensemble/plot_gradient_boosting_quantile.py``)
     - 00:09.113
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_tweedie_regression_insurance_claims.py` (``../examples/linear_model/plot_tweedie_regression_insurance_claims.py``)
     - 00:09.101
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``../examples/decomposition/plot_faces_decomposition.py``)
     - 00:09.027
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_missing_values.py` (``../examples/impute/plot_missing_values.py``)
     - 00:08.378
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``../examples/preprocessing/plot_all_scaling.py``)
     - 00:08.205
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_ridge_regression.py` (``../examples/miscellaneous/plot_kernel_ridge_regression.py``)
     - 00:08.155
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_comparison.py` (``../examples/linear_model/plot_sgd_comparison.py``)
     - 00:08.150
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_mnist.py` (``../examples/linear_model/plot_sparse_logistic_regression_mnist.py``)
     - 00:08.085
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regularization.py` (``../examples/ensemble/plot_gradient_boosting_regularization.py``)
     - 00:07.974
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``../examples/model_selection/plot_multi_metric_evaluation.py``)
     - 00:07.799
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``../examples/classification/plot_lda.py``)
     - 00:07.641
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``../examples/model_selection/plot_successive_halving_heatmap.py``)
     - 00:07.322
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``../examples/text/plot_document_clustering.py``)
     - 00:07.166
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``../examples/neural_networks/plot_mnist_filters.py``)
     - 00:06.876
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``../examples/semi_supervised/plot_semi_supervised_newsgroups.py``)
     - 00:06.803
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``../examples/multioutput/plot_classifier_chain_yeast.py``)
     - 00:06.725
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_iris.py` (``../examples/ensemble/plot_forest_iris.py``)
     - 00:06.537
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``../examples/text/plot_document_classification_20newsgroups.py``)
     - 00:06.507
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``../examples/model_selection/plot_train_error_vs_test_error.py``)
     - 00:06.259
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``../examples/cluster/plot_cluster_comparison.py``)
     - 00:06.252
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``../examples/model_selection/plot_nested_cross_validation_iris.py``)
     - 00:05.886
     - 0.0
   * - :ref:`sphx_glr_auto_examples_mixture_plot_concentration_prior.py` (``../examples/mixture/plot_concentration_prior.py``)
     - 00:05.831
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``../examples/semi_supervised/plot_self_training_varying_threshold.py``)
     - 00:05.591
     - 0.0
   * - :ref:`sphx_glr_auto_examples_exercises_plot_iris_exercise.py` (``../examples/exercises/plot_iris_exercise.py``)
     - 00:05.509
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_manifold_sphere.py` (``../examples/manifold/plot_manifold_sphere.py``)
     - 00:05.503
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_20newsgroups.py` (``../examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py``)
     - 00:05.439
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_iterative_imputer_variants_comparison.py` (``../examples/impute/plot_iterative_imputer_variants_comparison.py``)
     - 00:05.197
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``../examples/text/plot_hashing_vs_dict_vectorizer.py``)
     - 00:05.034
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``../examples/cluster/plot_coin_segmentation.py``)
     - 00:04.996
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``../examples/svm/plot_rbf_parameters.py``)
     - 00:04.827
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``../examples/model_selection/plot_randomized_search.py``)
     - 00:04.547
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``../examples/model_selection/plot_successive_halving_iterations.py``)
     - 00:04.370
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_compare_gpr_krr.py` (``../examples/gaussian_process/plot_compare_gpr_krr.py``)
     - 00:04.349
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_multiclass.py` (``../examples/ensemble/plot_adaboost_multiclass.py``)
     - 00:04.342
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``../examples/neighbors/plot_digits_kde_sampling.py``)
     - 00:04.238
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance_multicollinear.py` (``../examples/inspection/plot_permutation_importance_multicollinear.py``)
     - 00:04.051
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance.py` (``../examples/inspection/plot_permutation_importance.py``)
     - 00:03.940
     - 0.0
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_rfe_digits.py` (``../examples/feature_selection/plot_rfe_digits.py``)
     - 00:03.646
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``../examples/cluster/plot_birch_vs_minibatchkmeans.py``)
     - 00:03.642
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_ensemble_oob.py` (``../examples/ensemble/plot_ensemble_oob.py``)
     - 00:03.634
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``../examples/cluster/plot_dict_face_patches.py``)
     - 00:03.550
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``../examples/neighbors/plot_species_kde.py``)
     - 00:03.395
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py` (``../examples/ensemble/plot_gradient_boosting_early_stopping.py``)
     - 00:03.297
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``../examples/decomposition/plot_pca_vs_fa_model_selection.py``)
     - 00:03.284
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``../examples/preprocessing/plot_discretization_classification.py``)
     - 00:03.217
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_anomaly_comparison.py` (``../examples/miscellaneous/plot_anomaly_comparison.py``)
     - 00:03.081
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_t_sne_perplexity.py` (``../examples/manifold/plot_t_sne_perplexity.py``)
     - 00:03.037
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc_iris.py` (``../examples/gaussian_process/plot_gpc_iris.py``)
     - 00:03.032
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``../examples/covariance/plot_robust_vs_empirical_covariance.py``)
     - 00:02.952
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``../examples/neural_networks/plot_mlp_training_curves.py``)
     - 00:02.876
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``../examples/neural_networks/plot_rbm_logistic_classification.py``)
     - 00:02.779
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_feature_transformation.py` (``../examples/ensemble/plot_feature_transformation.py``)
     - 00:02.692
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``../examples/calibration/plot_compare_calibration.py``)
     - 00:02.647
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy.py` (``../examples/gaussian_process/plot_gpr_noisy.py``)
     - 00:02.641
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``../examples/applications/plot_stock_market.py``)
     - 00:02.544
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``../examples/covariance/plot_lw_vs_oas.py``)
     - 00:02.527
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_causal_interpretation.py` (``../examples/inspection/plot_causal_interpretation.py``)
     - 00:02.501
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``../examples/compose/plot_column_transformer.py``)
     - 00:02.491
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_partial_dependence_visualization_api.py` (``../examples/miscellaneous/plot_partial_dependence_visualization_api.py``)
     - 00:02.432
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``../examples/calibration/plot_calibration_curve.py``)
     - 00:02.269
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``../examples/classification/plot_classifier_comparison.py``)
     - 00:02.237
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc.py` (``../examples/gaussian_process/plot_gpc.py``)
     - 00:02.189
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``../examples/model_selection/plot_likelihood_ratios.py``)
     - 00:02.109
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``../examples/cluster/plot_face_compress.py``)
     - 00:02.095
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``../examples/cluster/plot_inductive_clustering.py``)
     - 00:01.989
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``../examples/preprocessing/plot_map_data_to_normal.py``)
     - 00:01.934
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``../examples/cluster/plot_agglomerative_clustering.py``)
     - 00:01.933
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``../examples/neural_networks/plot_mlp_alpha.py``)
     - 00:01.915
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``../examples/cluster/plot_linkage_comparison.py``)
     - 00:01.835
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_robust_fit.py` (``../examples/linear_model/plot_robust_fit.py``)
     - 00:01.825
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_approximation.py` (``../examples/miscellaneous/plot_kernel_approximation.py``)
     - 00:01.740
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     - 00:01.710
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     - 00:01.699
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     - 00:01.646
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   * - :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``../examples/cluster/plot_optics.py``)
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     - 00:01.606
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   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_prior_posterior.py` (``../examples/gaussian_process/plot_gpr_prior_posterior.py``)
     - 00:01.582
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     - 00:01.559
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     - 00:01.554
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     - 00:01.462
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     - 00:01.436
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   * - :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py` (``../examples/calibration/plot_calibration_multiclass.py``)
     - 00:01.433
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   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_3_0.py` (``../examples/release_highlights/plot_release_highlights_1_3_0.py``)
     - 00:01.382
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     - 00:01.370
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     - 00:01.314
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     - 00:01.300
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     - 00:01.250
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     - 00:01.150
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     - 00:01.140
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     - 00:01.087
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     - 00:01.077
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     - 00:01.045
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     - 00:00.973
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     - 00:00.944
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     - 00:00.912
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     - 00:00.909
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     - 00:00.907
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     - 00:00.871
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     - 00:00.857
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     - 00:00.797
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     - 00:00.765
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     - 00:00.680
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     - 00:00.658
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     - 00:00.652
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     - 00:00.616
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     - 00:00.594
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     - 00:00.581
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     - 00:00.571
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     - 00:00.554
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     - 00:00.546
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     - 00:00.541
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     - 00:00.539
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     - 00:00.533
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     - 00:00.531
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     - 00:00.516
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     - 00:00.515
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     - 00:00.499
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     - 00:00.490
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     - 00:00.476
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     - 00:00.474
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     - 00:00.474
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     - 00:00.466
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     - 00:00.456
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     - 00:00.455
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     - 00:00.450
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     - 00:00.449
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     - 00:00.444
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     - 00:00.439
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     - 00:00.439
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     - 00:00.438
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     - 00:00.436
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     - 00:00.432
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     - 00:00.421
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     - 00:00.417
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     - 00:00.404
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     - 00:00.400
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     - 00:00.394
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     - 00:00.390
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     - 00:00.389
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     - 00:00.381
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     - 00:00.380
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     - 00:00.372
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     - 00:00.363
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     - 00:00.362
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     - 00:00.356
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     - 00:00.333
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     - 00:00.330
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     - 00:00.323
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     - 00:00.314
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     - 00:00.313
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     - 00:00.310
     - 0.0
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     - 00:00.309
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     - 00:00.303
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     - 00:00.298
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     - 00:00.296
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     - 00:00.281
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     - 00:00.281
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   * - :ref:`sphx_glr_auto_examples_linear_model_plot_bayesian_ridge_curvefit.py` (``../examples/linear_model/plot_bayesian_ridge_curvefit.py``)
     - 00:00.280
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     - 00:00.263
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     - 00:00.262
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     - 00:00.260
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     - 00:00.244
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     - 00:00.234
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   * - :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``../examples/neighbors/plot_regression.py``)
     - 00:00.225
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     - 00:00.221
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     - 00:00.220
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   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_on_structured_data.py` (``../examples/gaussian_process/plot_gpr_on_structured_data.py``)
     - 00:00.218
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   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``../examples/preprocessing/plot_discretization.py``)
     - 00:00.217
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   * - :ref:`sphx_glr_auto_examples_mixture_plot_gmm.py` (``../examples/mixture/plot_gmm.py``)
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     - 00:00.197
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   * - :ref:`sphx_glr_auto_examples_linear_model_plot_omp.py` (``../examples/linear_model/plot_omp.py``)
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     - 00:00.195
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   * - :ref:`sphx_glr_auto_examples_mixture_plot_gmm_covariances.py` (``../examples/mixture/plot_gmm_covariances.py``)
     - 00:00.193
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   * - :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``../examples/model_selection/plot_underfitting_overfitting.py``)
     - 00:00.191
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   * - :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` (``../examples/svm/plot_linearsvc_support_vectors.py``)
     - 00:00.191
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     - 00:00.191
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     - 00:00.186
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     - 00:00.184
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     - 00:00.179
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     - 00:00.170
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     - 00:00.109
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     - 00:00.096
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     - 00:00.067
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     - 00:00.067
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     - 00:00.047
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     - 00:00.046
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     - 00:00.015
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