diff --git a/dev/.buildinfo b/dev/.buildinfo index 47850b87b4826..5b09736477a01 100644 --- a/dev/.buildinfo +++ b/dev/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 215d9ab73d9cc6c557f5bb6da704a0d2 +config: 558bebc8438f5d8451ce0b1ddbeb6e18 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip index 19ab0e980f100..822ec6afeecb2 100644 Binary files a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip and b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip differ diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip index 65e9a0f061b48..ab64bc86a0834 100644 Binary files a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip and b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip differ diff --git a/dev/_downloads/scikit-learn-docs.zip b/dev/_downloads/scikit-learn-docs.zip index be7e51c88117b..19c5c059aa8b5 100644 Binary files a/dev/_downloads/scikit-learn-docs.zip and b/dev/_downloads/scikit-learn-docs.zip differ diff --git a/dev/_images/sphx_glr_plot_agglomerative_clustering_001.png b/dev/_images/sphx_glr_plot_agglomerative_clustering_001.png index 7d7db4686b400..81cfe0bec5d43 100644 Binary files a/dev/_images/sphx_glr_plot_agglomerative_clustering_001.png and b/dev/_images/sphx_glr_plot_agglomerative_clustering_001.png differ diff --git a/dev/_images/sphx_glr_plot_agglomerative_clustering_002.png b/dev/_images/sphx_glr_plot_agglomerative_clustering_002.png index d5c1a5dc5ec2a..d172dec898579 100644 Binary files a/dev/_images/sphx_glr_plot_agglomerative_clustering_002.png and b/dev/_images/sphx_glr_plot_agglomerative_clustering_002.png differ diff --git a/dev/_images/sphx_glr_plot_agglomerative_clustering_003.png b/dev/_images/sphx_glr_plot_agglomerative_clustering_003.png index 540a0ddc9dc38..155f0a2e46ea3 100644 Binary files a/dev/_images/sphx_glr_plot_agglomerative_clustering_003.png and b/dev/_images/sphx_glr_plot_agglomerative_clustering_003.png differ diff --git a/dev/_images/sphx_glr_plot_agglomerative_clustering_004.png b/dev/_images/sphx_glr_plot_agglomerative_clustering_004.png index d31b622932198..8259fd621c6bf 100644 Binary files a/dev/_images/sphx_glr_plot_agglomerative_clustering_004.png and b/dev/_images/sphx_glr_plot_agglomerative_clustering_004.png differ diff --git a/dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png b/dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png index 8ce8fa6240644..8bc185c9f2166 100644 Binary files a/dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png and b/dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_anomaly_comparison_001.png b/dev/_images/sphx_glr_plot_anomaly_comparison_001.png index 7848296d092da..4a3f7e5256f2d 100644 Binary files a/dev/_images/sphx_glr_plot_anomaly_comparison_001.png and b/dev/_images/sphx_glr_plot_anomaly_comparison_001.png differ diff --git a/dev/_images/sphx_glr_plot_anomaly_comparison_thumb.png b/dev/_images/sphx_glr_plot_anomaly_comparison_thumb.png index 7b4b08b71a403..07935d216b457 100644 Binary files a/dev/_images/sphx_glr_plot_anomaly_comparison_thumb.png and b/dev/_images/sphx_glr_plot_anomaly_comparison_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_caching_nearest_neighbors_001.png b/dev/_images/sphx_glr_plot_caching_nearest_neighbors_001.png index e3a0d8084a5e4..2487c51e3545d 100644 Binary files a/dev/_images/sphx_glr_plot_caching_nearest_neighbors_001.png and b/dev/_images/sphx_glr_plot_caching_nearest_neighbors_001.png differ diff --git a/dev/_images/sphx_glr_plot_caching_nearest_neighbors_thumb.png b/dev/_images/sphx_glr_plot_caching_nearest_neighbors_thumb.png index a7a03921329a6..5433ab88d2258 100644 Binary files a/dev/_images/sphx_glr_plot_caching_nearest_neighbors_thumb.png and b/dev/_images/sphx_glr_plot_caching_nearest_neighbors_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_cluster_comparison_001.png b/dev/_images/sphx_glr_plot_cluster_comparison_001.png index a965a74f5ecf6..3e540ec0832ce 100644 Binary files a/dev/_images/sphx_glr_plot_cluster_comparison_001.png and b/dev/_images/sphx_glr_plot_cluster_comparison_001.png differ diff --git a/dev/_images/sphx_glr_plot_cluster_comparison_thumb.png b/dev/_images/sphx_glr_plot_cluster_comparison_thumb.png index 427d4cc014225..869828407a091 100644 Binary files a/dev/_images/sphx_glr_plot_cluster_comparison_thumb.png and b/dev/_images/sphx_glr_plot_cluster_comparison_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_coin_segmentation_001.png b/dev/_images/sphx_glr_plot_coin_segmentation_001.png index 1069d91e3c02b..490282dbda8b6 100644 Binary files a/dev/_images/sphx_glr_plot_coin_segmentation_001.png and b/dev/_images/sphx_glr_plot_coin_segmentation_001.png differ diff --git a/dev/_images/sphx_glr_plot_coin_segmentation_002.png b/dev/_images/sphx_glr_plot_coin_segmentation_002.png index 547a76caa32df..0e1b1a480005e 100644 Binary files a/dev/_images/sphx_glr_plot_coin_segmentation_002.png and b/dev/_images/sphx_glr_plot_coin_segmentation_002.png differ diff --git a/dev/_images/sphx_glr_plot_coin_segmentation_003.png b/dev/_images/sphx_glr_plot_coin_segmentation_003.png index 5c7495a50a584..4debbd9a64401 100644 Binary files a/dev/_images/sphx_glr_plot_coin_segmentation_003.png and b/dev/_images/sphx_glr_plot_coin_segmentation_003.png differ diff --git a/dev/_images/sphx_glr_plot_coin_segmentation_thumb.png b/dev/_images/sphx_glr_plot_coin_segmentation_thumb.png index 45168c4d08000..f7c9d411f954c 100644 Binary files a/dev/_images/sphx_glr_plot_coin_segmentation_thumb.png and b/dev/_images/sphx_glr_plot_coin_segmentation_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_compare_calibration_001.png b/dev/_images/sphx_glr_plot_compare_calibration_001.png index 5af6f7a3bd8ca..117668cbe6fbd 100644 Binary files a/dev/_images/sphx_glr_plot_compare_calibration_001.png and b/dev/_images/sphx_glr_plot_compare_calibration_001.png differ diff --git a/dev/_images/sphx_glr_plot_compare_calibration_thumb.png b/dev/_images/sphx_glr_plot_compare_calibration_thumb.png index 6b07663415f6f..1009232cef03c 100644 Binary files a/dev/_images/sphx_glr_plot_compare_calibration_thumb.png and b/dev/_images/sphx_glr_plot_compare_calibration_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_dict_face_patches_001.png b/dev/_images/sphx_glr_plot_dict_face_patches_001.png index 125db3c4ac31d..f874b0b0185ce 100644 Binary files a/dev/_images/sphx_glr_plot_dict_face_patches_001.png and b/dev/_images/sphx_glr_plot_dict_face_patches_001.png differ diff --git a/dev/_images/sphx_glr_plot_dict_face_patches_thumb.png b/dev/_images/sphx_glr_plot_dict_face_patches_thumb.png index bb2f56c5c129c..4d04db204bc97 100644 Binary files a/dev/_images/sphx_glr_plot_dict_face_patches_thumb.png and b/dev/_images/sphx_glr_plot_dict_face_patches_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_digits_pipe_001.png b/dev/_images/sphx_glr_plot_digits_pipe_001.png index 1d63b0b4079b0..9788226127778 100644 Binary files a/dev/_images/sphx_glr_plot_digits_pipe_001.png and b/dev/_images/sphx_glr_plot_digits_pipe_001.png differ diff --git a/dev/_images/sphx_glr_plot_digits_pipe_thumb.png b/dev/_images/sphx_glr_plot_digits_pipe_thumb.png index 940b5060e1694..9270fa4d20287 100644 Binary files a/dev/_images/sphx_glr_plot_digits_pipe_thumb.png and b/dev/_images/sphx_glr_plot_digits_pipe_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_document_classification_20newsgroups_005.png b/dev/_images/sphx_glr_plot_document_classification_20newsgroups_005.png index 4481f64e6dc77..ecf2e29d49213 100644 Binary files a/dev/_images/sphx_glr_plot_document_classification_20newsgroups_005.png and b/dev/_images/sphx_glr_plot_document_classification_20newsgroups_005.png differ diff --git a/dev/_images/sphx_glr_plot_document_classification_20newsgroups_006.png b/dev/_images/sphx_glr_plot_document_classification_20newsgroups_006.png index 9df7390b8996b..3a6fe91fac606 100644 Binary files a/dev/_images/sphx_glr_plot_document_classification_20newsgroups_006.png and b/dev/_images/sphx_glr_plot_document_classification_20newsgroups_006.png differ diff --git a/dev/_images/sphx_glr_plot_document_clustering_001.png b/dev/_images/sphx_glr_plot_document_clustering_001.png index 69a35942d2c0d..192bf3d599321 100644 Binary files a/dev/_images/sphx_glr_plot_document_clustering_001.png and b/dev/_images/sphx_glr_plot_document_clustering_001.png differ diff --git a/dev/_images/sphx_glr_plot_document_clustering_thumb.png b/dev/_images/sphx_glr_plot_document_clustering_thumb.png index 07ea160b0022d..10180332206ef 100644 Binary files a/dev/_images/sphx_glr_plot_document_clustering_thumb.png and b/dev/_images/sphx_glr_plot_document_clustering_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_gmm_init_001.png b/dev/_images/sphx_glr_plot_gmm_init_001.png index e737e13157bbc..3b4fb0a7c0869 100644 Binary files a/dev/_images/sphx_glr_plot_gmm_init_001.png and b/dev/_images/sphx_glr_plot_gmm_init_001.png differ diff --git a/dev/_images/sphx_glr_plot_gmm_init_thumb.png b/dev/_images/sphx_glr_plot_gmm_init_thumb.png index b1d10149d1d82..0cdac79e6b2ce 100644 Binary files a/dev/_images/sphx_glr_plot_gmm_init_thumb.png and b/dev/_images/sphx_glr_plot_gmm_init_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_gpr_prior_posterior_002.png b/dev/_images/sphx_glr_plot_gpr_prior_posterior_002.png index 362a3bdf3221e..a0159187f1b39 100644 Binary files a/dev/_images/sphx_glr_plot_gpr_prior_posterior_002.png and b/dev/_images/sphx_glr_plot_gpr_prior_posterior_002.png differ diff --git a/dev/_images/sphx_glr_plot_gradient_boosting_categorical_001.png b/dev/_images/sphx_glr_plot_gradient_boosting_categorical_001.png index a4dc12d3b13de..bba43e729c9c3 100644 Binary files a/dev/_images/sphx_glr_plot_gradient_boosting_categorical_001.png and b/dev/_images/sphx_glr_plot_gradient_boosting_categorical_001.png differ diff --git a/dev/_images/sphx_glr_plot_gradient_boosting_categorical_002.png b/dev/_images/sphx_glr_plot_gradient_boosting_categorical_002.png index 00f801ca48684..063b4af6980c2 100644 Binary files a/dev/_images/sphx_glr_plot_gradient_boosting_categorical_002.png and b/dev/_images/sphx_glr_plot_gradient_boosting_categorical_002.png differ diff --git a/dev/_images/sphx_glr_plot_gradient_boosting_categorical_thumb.png b/dev/_images/sphx_glr_plot_gradient_boosting_categorical_thumb.png index 2e0be5d02535c..2fe11487cbf58 100644 Binary files a/dev/_images/sphx_glr_plot_gradient_boosting_categorical_thumb.png and b/dev/_images/sphx_glr_plot_gradient_boosting_categorical_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_gradient_boosting_early_stopping_002.png b/dev/_images/sphx_glr_plot_gradient_boosting_early_stopping_002.png index c053fc68e7263..20687dc28d406 100644 Binary files a/dev/_images/sphx_glr_plot_gradient_boosting_early_stopping_002.png and b/dev/_images/sphx_glr_plot_gradient_boosting_early_stopping_002.png differ diff --git a/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_001.png b/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_001.png index c8eab32ace755..c882c1c9c53f3 100644 Binary files a/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_001.png and b/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_001.png differ diff --git a/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_002.png b/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_002.png index 23ee662be6cb3..628e3024e749b 100644 Binary files a/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_002.png and b/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_002.png differ diff --git a/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_thumb.png b/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_thumb.png index 09c8028c91547..cce50115071c4 100644 Binary files a/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_thumb.png and b/dev/_images/sphx_glr_plot_hashing_vs_dict_vectorizer_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_image_denoising_002.png b/dev/_images/sphx_glr_plot_image_denoising_002.png index 7ac97774b8230..381e328091a02 100644 Binary files a/dev/_images/sphx_glr_plot_image_denoising_002.png and b/dev/_images/sphx_glr_plot_image_denoising_002.png differ diff --git a/dev/_images/sphx_glr_plot_image_denoising_003.png b/dev/_images/sphx_glr_plot_image_denoising_003.png index 80c9606848ebf..dd894a83c62f2 100644 Binary files a/dev/_images/sphx_glr_plot_image_denoising_003.png and b/dev/_images/sphx_glr_plot_image_denoising_003.png differ diff --git a/dev/_images/sphx_glr_plot_image_denoising_004.png b/dev/_images/sphx_glr_plot_image_denoising_004.png index 9e53df718e1d9..1a87e8efac63d 100644 Binary files a/dev/_images/sphx_glr_plot_image_denoising_004.png and b/dev/_images/sphx_glr_plot_image_denoising_004.png differ diff --git a/dev/_images/sphx_glr_plot_image_denoising_005.png b/dev/_images/sphx_glr_plot_image_denoising_005.png index cb474a5d8effe..aa4d6c1ff9b93 100644 Binary files a/dev/_images/sphx_glr_plot_image_denoising_005.png and b/dev/_images/sphx_glr_plot_image_denoising_005.png differ diff --git a/dev/_images/sphx_glr_plot_kernel_approximation_001.png b/dev/_images/sphx_glr_plot_kernel_approximation_001.png index 85bab08603901..2f3dfe506bc61 100644 Binary files a/dev/_images/sphx_glr_plot_kernel_approximation_001.png and b/dev/_images/sphx_glr_plot_kernel_approximation_001.png differ diff --git a/dev/_images/sphx_glr_plot_kernel_approximation_thumb.png b/dev/_images/sphx_glr_plot_kernel_approximation_thumb.png index 42dfd123b2ee9..00a0a7333db06 100644 Binary files a/dev/_images/sphx_glr_plot_kernel_approximation_thumb.png and b/dev/_images/sphx_glr_plot_kernel_approximation_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png b/dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png index 7c89e16a625f0..7f79c1742b26f 100644 Binary files a/dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png and b/dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png differ diff --git a/dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png b/dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png index b68a29ecfc17e..17582501d566b 100644 Binary files a/dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png and b/dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png differ diff --git a/dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png b/dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png index df2540a1ff8d4..6a77c55f22595 100644 Binary files a/dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png and b/dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_lasso_model_selection_002.png b/dev/_images/sphx_glr_plot_lasso_model_selection_002.png index cd7672b28c224..47356d5151d28 100644 Binary files a/dev/_images/sphx_glr_plot_lasso_model_selection_002.png and b/dev/_images/sphx_glr_plot_lasso_model_selection_002.png differ diff --git a/dev/_images/sphx_glr_plot_lasso_model_selection_003.png b/dev/_images/sphx_glr_plot_lasso_model_selection_003.png index 3bd6f8c1a2a75..ef74bd9030480 100644 Binary files a/dev/_images/sphx_glr_plot_lasso_model_selection_003.png and b/dev/_images/sphx_glr_plot_lasso_model_selection_003.png differ diff --git a/dev/_images/sphx_glr_plot_learning_curve_002.png b/dev/_images/sphx_glr_plot_learning_curve_002.png index 242e0cad4547d..3339e6c92c3e8 100644 Binary files a/dev/_images/sphx_glr_plot_learning_curve_002.png and b/dev/_images/sphx_glr_plot_learning_curve_002.png differ diff --git a/dev/_images/sphx_glr_plot_learning_curve_003.png b/dev/_images/sphx_glr_plot_learning_curve_003.png index d7906c1eee9ac..2f470caea7d31 100644 Binary files a/dev/_images/sphx_glr_plot_learning_curve_003.png and b/dev/_images/sphx_glr_plot_learning_curve_003.png differ diff --git a/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_001.png b/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_001.png index 175f8e9758cae..a486792d23ad8 100644 Binary files a/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_001.png and b/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_001.png differ diff --git a/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_thumb.png b/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_thumb.png index 59482a8849d54..bd4331bae07f1 100644 Binary files a/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_thumb.png and b/dev/_images/sphx_glr_plot_linear_model_coefficient_interpretation_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_linkage_comparison_001.png b/dev/_images/sphx_glr_plot_linkage_comparison_001.png index faea71476826b..723989f50177b 100644 Binary files a/dev/_images/sphx_glr_plot_linkage_comparison_001.png and b/dev/_images/sphx_glr_plot_linkage_comparison_001.png differ diff --git a/dev/_images/sphx_glr_plot_linkage_comparison_thumb.png b/dev/_images/sphx_glr_plot_linkage_comparison_thumb.png index d33280daa59b3..55587e9cbabf3 100644 Binary files a/dev/_images/sphx_glr_plot_linkage_comparison_thumb.png and b/dev/_images/sphx_glr_plot_linkage_comparison_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_002.png b/dev/_images/sphx_glr_plot_lle_digits_002.png index 257b2246892cd..eab4af3d16a86 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_002.png and b/dev/_images/sphx_glr_plot_lle_digits_002.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_004.png b/dev/_images/sphx_glr_plot_lle_digits_004.png index b8ed4d661a526..4d428aa582b1c 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_004.png and b/dev/_images/sphx_glr_plot_lle_digits_004.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_005.png b/dev/_images/sphx_glr_plot_lle_digits_005.png index ec00928ed9511..5110f52854db4 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_005.png and b/dev/_images/sphx_glr_plot_lle_digits_005.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_006.png b/dev/_images/sphx_glr_plot_lle_digits_006.png index 0d0378c404e6c..cff140ba92d47 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_006.png and b/dev/_images/sphx_glr_plot_lle_digits_006.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_008.png b/dev/_images/sphx_glr_plot_lle_digits_008.png index 4dfce15e98e36..ad04c5f587d79 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_008.png and b/dev/_images/sphx_glr_plot_lle_digits_008.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_009.png b/dev/_images/sphx_glr_plot_lle_digits_009.png index 2ae28f4373004..da15fcb301322 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_009.png and b/dev/_images/sphx_glr_plot_lle_digits_009.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_010.png b/dev/_images/sphx_glr_plot_lle_digits_010.png index 40a2ab167962d..e6d5025cd0d91 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_010.png and b/dev/_images/sphx_glr_plot_lle_digits_010.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_011.png b/dev/_images/sphx_glr_plot_lle_digits_011.png index 571edd9885767..a0a101a3243d4 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_011.png and b/dev/_images/sphx_glr_plot_lle_digits_011.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_012.png b/dev/_images/sphx_glr_plot_lle_digits_012.png index 8b27d7c828c7b..0b8699b9c0577 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_012.png and b/dev/_images/sphx_glr_plot_lle_digits_012.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_013.png b/dev/_images/sphx_glr_plot_lle_digits_013.png index 22e36d55a1a09..0082fe11e1bb2 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_013.png and b/dev/_images/sphx_glr_plot_lle_digits_013.png differ diff --git a/dev/_images/sphx_glr_plot_lle_digits_014.png b/dev/_images/sphx_glr_plot_lle_digits_014.png index 08ce3d463f057..78e0163d63e99 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_014.png and b/dev/_images/sphx_glr_plot_lle_digits_014.png differ diff --git a/dev/_images/sphx_glr_plot_manifold_sphere_001.png b/dev/_images/sphx_glr_plot_manifold_sphere_001.png index 63d32bbdb43eb..0eea401aa1f69 100644 Binary files a/dev/_images/sphx_glr_plot_manifold_sphere_001.png and b/dev/_images/sphx_glr_plot_manifold_sphere_001.png differ diff --git a/dev/_images/sphx_glr_plot_manifold_sphere_thumb.png b/dev/_images/sphx_glr_plot_manifold_sphere_thumb.png index 0b1991593c9ab..c8020bccbec78 100644 Binary files a/dev/_images/sphx_glr_plot_manifold_sphere_thumb.png and b/dev/_images/sphx_glr_plot_manifold_sphere_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_model_complexity_influence_001.png b/dev/_images/sphx_glr_plot_model_complexity_influence_001.png index da139bb3a07ab..1940010c34840 100644 Binary files a/dev/_images/sphx_glr_plot_model_complexity_influence_001.png and b/dev/_images/sphx_glr_plot_model_complexity_influence_001.png differ diff --git a/dev/_images/sphx_glr_plot_model_complexity_influence_002.png b/dev/_images/sphx_glr_plot_model_complexity_influence_002.png index ef0a460bd77a0..59f6eaf3a215c 100644 Binary files a/dev/_images/sphx_glr_plot_model_complexity_influence_002.png and b/dev/_images/sphx_glr_plot_model_complexity_influence_002.png differ diff --git a/dev/_images/sphx_glr_plot_model_complexity_influence_003.png b/dev/_images/sphx_glr_plot_model_complexity_influence_003.png index 9ee03e3ba7351..e1db0b38e94e5 100644 Binary files a/dev/_images/sphx_glr_plot_model_complexity_influence_003.png and b/dev/_images/sphx_glr_plot_model_complexity_influence_003.png differ diff --git a/dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png b/dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png index dc508f73acb8d..3f76064c20d56 100644 Binary files a/dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png and b/dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_out_of_core_classification_002.png b/dev/_images/sphx_glr_plot_out_of_core_classification_002.png index 4f71e9857f84e..60b8afceada0e 100644 Binary files a/dev/_images/sphx_glr_plot_out_of_core_classification_002.png and b/dev/_images/sphx_glr_plot_out_of_core_classification_002.png differ diff --git a/dev/_images/sphx_glr_plot_out_of_core_classification_003.png b/dev/_images/sphx_glr_plot_out_of_core_classification_003.png index c4e6d208f365a..d622eb1aa1fdc 100644 Binary files a/dev/_images/sphx_glr_plot_out_of_core_classification_003.png and b/dev/_images/sphx_glr_plot_out_of_core_classification_003.png differ diff --git a/dev/_images/sphx_glr_plot_out_of_core_classification_004.png b/dev/_images/sphx_glr_plot_out_of_core_classification_004.png index f4f8417721f92..dfe5729157057 100644 Binary files a/dev/_images/sphx_glr_plot_out_of_core_classification_004.png and b/dev/_images/sphx_glr_plot_out_of_core_classification_004.png differ diff --git a/dev/_images/sphx_glr_plot_prediction_latency_001.png b/dev/_images/sphx_glr_plot_prediction_latency_001.png index 435dcc0caeef4..50be84b9adb62 100644 Binary files a/dev/_images/sphx_glr_plot_prediction_latency_001.png and b/dev/_images/sphx_glr_plot_prediction_latency_001.png differ diff --git a/dev/_images/sphx_glr_plot_prediction_latency_002.png b/dev/_images/sphx_glr_plot_prediction_latency_002.png index e37066378f9a1..359bd8f3508d9 100644 Binary files a/dev/_images/sphx_glr_plot_prediction_latency_002.png and b/dev/_images/sphx_glr_plot_prediction_latency_002.png differ diff --git a/dev/_images/sphx_glr_plot_prediction_latency_003.png b/dev/_images/sphx_glr_plot_prediction_latency_003.png index 52480f744bb90..cd0f5ecb1fcde 100644 Binary files a/dev/_images/sphx_glr_plot_prediction_latency_003.png and b/dev/_images/sphx_glr_plot_prediction_latency_003.png differ diff --git a/dev/_images/sphx_glr_plot_prediction_latency_004.png b/dev/_images/sphx_glr_plot_prediction_latency_004.png index 12c2594b92260..1644441388cae 100644 Binary files a/dev/_images/sphx_glr_plot_prediction_latency_004.png and b/dev/_images/sphx_glr_plot_prediction_latency_004.png differ diff --git a/dev/_images/sphx_glr_plot_prediction_latency_thumb.png b/dev/_images/sphx_glr_plot_prediction_latency_thumb.png index 4ff848ef11516..c4c17fed92ec1 100644 Binary files a/dev/_images/sphx_glr_plot_prediction_latency_thumb.png and b/dev/_images/sphx_glr_plot_prediction_latency_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_release_highlights_0_24_0_001.png b/dev/_images/sphx_glr_plot_release_highlights_0_24_0_001.png index c0010a55398f3..ea769afd057f7 100644 Binary files a/dev/_images/sphx_glr_plot_release_highlights_0_24_0_001.png and b/dev/_images/sphx_glr_plot_release_highlights_0_24_0_001.png differ diff --git a/dev/_images/sphx_glr_plot_release_highlights_0_24_0_thumb.png b/dev/_images/sphx_glr_plot_release_highlights_0_24_0_thumb.png index b7568e45e67e1..d149dcc9fdc19 100644 Binary files a/dev/_images/sphx_glr_plot_release_highlights_0_24_0_thumb.png and b/dev/_images/sphx_glr_plot_release_highlights_0_24_0_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_scalable_poly_kernels_001.png b/dev/_images/sphx_glr_plot_scalable_poly_kernels_001.png index 7d2b7d745efac..8166549f95c2c 100644 Binary files a/dev/_images/sphx_glr_plot_scalable_poly_kernels_001.png and b/dev/_images/sphx_glr_plot_scalable_poly_kernels_001.png differ diff --git a/dev/_images/sphx_glr_plot_scalable_poly_kernels_thumb.png b/dev/_images/sphx_glr_plot_scalable_poly_kernels_thumb.png index d30d095f19a3b..88f2043c57197 100644 Binary files a/dev/_images/sphx_glr_plot_scalable_poly_kernels_thumb.png and b/dev/_images/sphx_glr_plot_scalable_poly_kernels_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_sgd_early_stopping_002.png b/dev/_images/sphx_glr_plot_sgd_early_stopping_002.png index f0f8bfef05b4c..c4253961bbb53 100644 Binary files a/dev/_images/sphx_glr_plot_sgd_early_stopping_002.png and b/dev/_images/sphx_glr_plot_sgd_early_stopping_002.png differ diff --git a/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_001.png b/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_001.png index 853f5b732e575..cb9cc138e0750 100644 Binary files a/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_001.png and b/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_001.png differ diff --git a/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_thumb.png b/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_thumb.png index 9d31adaa2ed69..9cf2de6724ee3 100644 Binary files a/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_thumb.png and b/dev/_images/sphx_glr_plot_sparse_logistic_regression_20newsgroups_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_stack_predictors_001.png b/dev/_images/sphx_glr_plot_stack_predictors_001.png index 453a5fcf40d37..a9c9bb6706e9a 100644 Binary files a/dev/_images/sphx_glr_plot_stack_predictors_001.png and b/dev/_images/sphx_glr_plot_stack_predictors_001.png differ diff --git a/dev/_images/sphx_glr_plot_stack_predictors_thumb.png b/dev/_images/sphx_glr_plot_stack_predictors_thumb.png index 5625903950c18..d50628b180663 100644 Binary files a/dev/_images/sphx_glr_plot_stack_predictors_thumb.png and b/dev/_images/sphx_glr_plot_stack_predictors_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_successive_halving_heatmap_001.png b/dev/_images/sphx_glr_plot_successive_halving_heatmap_001.png index ed2551f43534e..c2602b1648ad6 100644 Binary files a/dev/_images/sphx_glr_plot_successive_halving_heatmap_001.png and b/dev/_images/sphx_glr_plot_successive_halving_heatmap_001.png differ diff --git a/dev/_images/sphx_glr_plot_successive_halving_heatmap_thumb.png b/dev/_images/sphx_glr_plot_successive_halving_heatmap_thumb.png index 2bb31a8fc1c0e..51b0e2b260693 100644 Binary files a/dev/_images/sphx_glr_plot_successive_halving_heatmap_thumb.png and b/dev/_images/sphx_glr_plot_successive_halving_heatmap_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_theilsen_001.png b/dev/_images/sphx_glr_plot_theilsen_001.png index db1716a5cbd47..9a15269dfe25e 100644 Binary files a/dev/_images/sphx_glr_plot_theilsen_001.png and b/dev/_images/sphx_glr_plot_theilsen_001.png differ diff --git a/dev/_images/sphx_glr_plot_theilsen_002.png b/dev/_images/sphx_glr_plot_theilsen_002.png index 5ce497255e5a2..76da2ae2039d0 100644 Binary files a/dev/_images/sphx_glr_plot_theilsen_002.png and b/dev/_images/sphx_glr_plot_theilsen_002.png differ diff --git a/dev/_images/sphx_glr_plot_theilsen_thumb.png b/dev/_images/sphx_glr_plot_theilsen_thumb.png index 065ffb585cb48..d489183ed4f42 100644 Binary files a/dev/_images/sphx_glr_plot_theilsen_thumb.png and b/dev/_images/sphx_glr_plot_theilsen_thumb.png differ diff --git a/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt b/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt index 1544cf3e1a2d2..a1f4e29b8e64d 100644 --- a/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt @@ -2555,7 +2555,7 @@ instead of `RidgeCV`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 14.377 seconds) + **Total running time of the script:** ( 0 minutes 14.417 seconds) .. _sphx_glr_download_auto_examples_applications_plot_cyclical_feature_engineering.py: diff --git a/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt b/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt index 41542eb17aa06..09193499c5f3c 100644 --- a/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt @@ -312,7 +312,7 @@ will depend of the parameters `n_components`, `gamma`, and `alpha`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 10.506 seconds) + **Total running time of the script:** ( 0 minutes 10.681 seconds) .. _sphx_glr_download_auto_examples_applications_plot_digits_denoising.py: diff --git a/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt b/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt index cd323b01fafab..833502a043c78 100644 --- a/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt @@ -159,9 +159,9 @@ dataset): unsupervised feature extraction / dimensionality reduction .. code-block:: none Extracting the top 150 eigenfaces from 966 faces - done in 0.078s + done in 0.072s Projecting the input data on the eigenfaces orthonormal basis - done in 0.007s + done in 0.009s @@ -199,7 +199,7 @@ Train a SVM classification model .. code-block:: none Fitting the classifier to the training set - done in 6.132s + done in 6.233s Best estimator found by grid search: SVC(C=76823.03433306453, class_weight='balanced', gamma=0.003418945823095797) @@ -242,7 +242,7 @@ Quantitative evaluation of the model quality on the test set .. code-block:: none Predicting people's names on the test set - done in 0.045s + done in 0.049s precision recall f1-score support Ariel Sharon 0.75 0.69 0.72 13 @@ -359,7 +359,7 @@ tensorflow to implement such models. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.139 seconds) + **Total running time of the script:** ( 0 minutes 7.238 seconds) .. _sphx_glr_download_auto_examples_applications_plot_face_recognition.py: diff --git a/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt b/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt index 60fb7086e7f4e..ac939de143aa3 100644 --- a/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt @@ -388,49 +388,49 @@ ensemble is not as detrimental. Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.25, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 4948 | Hamming Loss (Misclassification Ratio): 0.2675 | Pred. Time: 0.062944s + Complexity: 4948 | Hamming Loss (Misclassification Ratio): 0.2675 | Pred. Time: 0.060775s Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.5, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 1847 | Hamming Loss (Misclassification Ratio): 0.3264 | Pred. Time: 0.046162s + Complexity: 1847 | Hamming Loss (Misclassification Ratio): 0.3264 | Pred. Time: 0.045887s Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.75, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 997 | Hamming Loss (Misclassification Ratio): 0.3383 | Pred. Time: 0.037201s + Complexity: 997 | Hamming Loss (Misclassification Ratio): 0.3383 | Pred. Time: 0.038082s Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.9, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 802 | Hamming Loss (Misclassification Ratio): 0.3582 | Pred. Time: 0.034179s + Complexity: 802 | Hamming Loss (Misclassification Ratio): 0.3582 | Pred. Time: 0.034990s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.05) - Complexity: 18 | MSE: 5558.7313 | Pred. Time: 0.000186s + Complexity: 18 | MSE: 5558.7313 | Pred. Time: 0.000214s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.1) - Complexity: 36 | MSE: 5289.8022 | Pred. Time: 0.000264s + Complexity: 36 | MSE: 5289.8022 | Pred. Time: 0.000319s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.2) - Complexity: 72 | MSE: 5193.8353 | Pred. Time: 0.000422s + Complexity: 72 | MSE: 5193.8353 | Pred. Time: 0.000501s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.35) - Complexity: 124 | MSE: 5131.3279 | Pred. Time: 0.000658s + Complexity: 124 | MSE: 5131.3279 | Pred. Time: 0.000717s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05) - Complexity: 178 | MSE: 5149.0779 | Pred. Time: 0.000917s + Complexity: 178 | MSE: 5149.0779 | Pred. Time: 0.000992s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=10) - Complexity: 10 | MSE: 4066.4812 | Pred. Time: 0.000351s + Complexity: 10 | MSE: 4066.4812 | Pred. Time: 0.000193s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=25) - Complexity: 25 | MSE: 3551.1723 | Pred. Time: 0.000328s + Complexity: 25 | MSE: 3551.1723 | Pred. Time: 0.000226s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=50) - Complexity: 50 | MSE: 3445.2171 | Pred. Time: 0.000241s + Complexity: 50 | MSE: 3445.2171 | Pred. Time: 0.000262s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=75) - Complexity: 75 | MSE: 3433.0358 | Pred. Time: 0.000263s + Complexity: 75 | MSE: 3433.0358 | Pred. Time: 0.000319s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2) - Complexity: 100 | MSE: 3456.0602 | Pred. Time: 0.000296s + Complexity: 100 | MSE: 3456.0602 | Pred. Time: 0.000331s @@ -453,7 +453,7 @@ under-fitting or over-fitting. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.681 seconds) + **Total running time of the script:** ( 0 minutes 5.408 seconds) .. _sphx_glr_download_auto_examples_applications_plot_model_complexity_influence.py: diff --git a/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt b/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt index 9dfcd97e05cad..432b52bbdace6 100644 --- a/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt @@ -383,46 +383,46 @@ maximum .. code-block:: none Test set is 878 documents (108 positive) - SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 0.68s ( 1422 docs/s) - Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.855 in 0.68s ( 1410 docs/s) - NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 0.70s ( 1365 docs/s) - Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 0.71s ( 1359 docs/s) + SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 0.74s ( 1295 docs/s) + Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.855 in 0.75s ( 1284 docs/s) + NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 0.77s ( 1244 docs/s) + Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 0.78s ( 1239 docs/s) - SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 1.86s ( 2100 docs/s) - Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.936 in 1.86s ( 2097 docs/s) - NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 1.87s ( 2087 docs/s) - Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.941 in 1.88s ( 2084 docs/s) + SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 1.95s ( 2008 docs/s) + Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.936 in 1.95s ( 2005 docs/s) + NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 1.96s ( 1995 docs/s) + Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.941 in 1.96s ( 1992 docs/s) - SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.03s ( 2251 docs/s) - Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.03s ( 2249 docs/s) - NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.900 in 3.04s ( 2242 docs/s) - Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 3.04s ( 2240 docs/s) + SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.11s ( 2195 docs/s) + Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.11s ( 2193 docs/s) + NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.900 in 3.12s ( 2187 docs/s) + Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 3.12s ( 2184 docs/s) - SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 4.31s ( 2265 docs/s) - Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 4.31s ( 2262 docs/s) - NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 4.32s ( 2256 docs/s) - Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 4.33s ( 2254 docs/s) + SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 4.29s ( 2273 docs/s) + Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 4.29s ( 2272 docs/s) + NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 4.30s ( 2267 docs/s) + Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 4.31s ( 2266 docs/s) - SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.944 in 5.40s ( 2163 docs/s) - Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 5.40s ( 2162 docs/s) - NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 5.41s ( 2158 docs/s) - Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 5.41s ( 2157 docs/s) + SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.944 in 5.33s ( 2192 docs/s) + Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 5.33s ( 2191 docs/s) + NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 5.34s ( 2187 docs/s) + Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 5.34s ( 2186 docs/s) - SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.965 in 6.56s ( 2227 docs/s) - Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.903 in 6.57s ( 2226 docs/s) - NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.924 in 6.58s ( 2223 docs/s) - Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 6.58s ( 2222 docs/s) + SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.965 in 6.58s ( 2222 docs/s) + Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.903 in 6.58s ( 2221 docs/s) + NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.924 in 6.59s ( 2218 docs/s) + Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 6.60s ( 2217 docs/s) - SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 7.61s ( 2281 docs/s) - Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 7.61s ( 2280 docs/s) - NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 7.62s ( 2278 docs/s) - Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 7.62s ( 2277 docs/s) + SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 7.88s ( 2202 docs/s) + Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 7.89s ( 2201 docs/s) + NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 7.90s ( 2198 docs/s) + Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 7.90s ( 2197 docs/s) @@ -583,7 +583,7 @@ before feeding them to the learner. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.626 seconds) + **Total running time of the script:** ( 0 minutes 9.200 seconds) .. _sphx_glr_download_auto_examples_applications_plot_out_of_core_classification.py: diff --git a/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt b/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt index 2516cb04180f4..a4a996bf3c418 100644 --- a/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt @@ -210,7 +210,7 @@ the data scatter matrix and the risk of over-fitting the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.422 seconds) + **Total running time of the script:** ( 0 minutes 1.507 seconds) .. _sphx_glr_download_auto_examples_applications_plot_outlier_detection_wine.py: diff --git a/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt b/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt index 575fb199c65b6..de6b9d340cda1 100644 --- a/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt @@ -473,7 +473,7 @@ Benchmark throughput .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 17.284 seconds) + **Total running time of the script:** ( 0 minutes 18.397 seconds) .. _sphx_glr_download_auto_examples_applications_plot_prediction_latency.py: diff --git a/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt b/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt index b1ec64e603bbb..8a507a0053cbf 100644 --- a/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt @@ -82,7 +82,7 @@ References Area under the ROC curve : 0.993919 - time elapsed: 6.85s + time elapsed: 7.22s @@ -308,7 +308,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.050 seconds) + **Total running time of the script:** ( 0 minutes 7.433 seconds) .. _sphx_glr_download_auto_examples_applications_plot_species_distribution_modeling.py: diff --git a/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt b/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt index 1530c387b9dde..2a4075d9843ba 100644 --- a/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt @@ -459,7 +459,7 @@ axis. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.437 seconds) + **Total running time of the script:** ( 0 minutes 8.404 seconds) .. _sphx_glr_download_auto_examples_applications_plot_stock_market.py: diff --git a/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt b/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt index ca15d8dfab83c..83e73f29828f0 100644 --- a/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt @@ -180,7 +180,7 @@ contributed to fewer projections than the central disk. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 9.632 seconds) + **Total running time of the script:** ( 0 minutes 10.333 seconds) .. _sphx_glr_download_auto_examples_applications_plot_tomography_l1_reconstruction.py: diff --git a/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt b/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt index ba128d7661b7b..e50f0f1f354b3 100644 --- a/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt @@ -86,30 +86,30 @@ proportional to (n_samples * iterations). .. code-block:: none Loading dataset... - done in 1.119s. + done in 1.206s. Extracting tf-idf features for NMF... - done in 0.265s. + done in 0.302s. Extracting tf features for LDA... - done in 0.259s. + done in 0.295s. Fitting the NMF model (Frobenius norm) with tf-idf features, n_samples=2000 and n_features=1000... - done in 0.077s. + done in 0.090s. Fitting the NMF model (generalized Kullback-Leibler divergence) with tf-idf features, n_samples=2000 and n_features=1000... - done in 1.176s. + done in 1.236s. Fitting the MiniBatchNMF model (Frobenius norm) with tf-idf features, n_samples=2000 and n_features=1000, batch_size=128... - done in 0.140s. + done in 0.099s. Fitting the MiniBatchNMF model (generalized Kullback-Leibler divergence) with tf-idf features, n_samples=2000 and n_features=1000, batch_size=128... - done in 0.297s. + done in 0.264s. Fitting LDA models with tf features, n_samples=2000 and n_features=1000... - done in 2.853s. + done in 3.170s. @@ -329,7 +329,7 @@ proportional to (n_samples * iterations). .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 13.049 seconds) + **Total running time of the script:** ( 0 minutes 14.042 seconds) .. _sphx_glr_download_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py: diff --git a/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt b/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt index cb9fc862c7432..9e6fccd08b9e0 100644 --- a/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt @@ -6,30 +6,30 @@ Computation times ================= -**01:38.201** total execution time for **auto_examples_applications** files: +**01:47.060** total execution time for **auto_examples_applications** files: +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``plot_prediction_latency.py``) | 00:17.284 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``plot_prediction_latency.py``) | 00:18.397 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``plot_cyclical_feature_engineering.py``) | 00:14.377 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``plot_cyclical_feature_engineering.py``) | 00:14.417 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``plot_topics_extraction_with_nmf_lda.py``) | 00:13.049 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``plot_topics_extraction_with_nmf_lda.py``) | 00:14.042 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``plot_digits_denoising.py``) | 00:10.506 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``plot_digits_denoising.py``) | 00:10.681 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``plot_tomography_l1_reconstruction.py``) | 00:09.632 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``plot_tomography_l1_reconstruction.py``) | 00:10.333 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``plot_out_of_core_classification.py``) | 00:08.626 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``plot_out_of_core_classification.py``) | 00:09.200 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``plot_face_recognition.py``) | 00:07.139 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``plot_stock_market.py``) | 00:08.404 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``plot_species_distribution_modeling.py``) | 00:07.050 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``plot_species_distribution_modeling.py``) | 00:07.433 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``plot_model_complexity_influence.py``) | 00:05.681 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``plot_face_recognition.py``) | 00:07.238 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``plot_stock_market.py``) | 00:03.437 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``plot_model_complexity_influence.py``) | 00:05.408 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` (``plot_outlier_detection_wine.py``) | 00:01.422 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` (``plot_outlier_detection_wine.py``) | 00:01.507 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_applications_svm_gui.py` (``svm_gui.py``) | 00:00.000 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt b/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt index f8a38ef043449..b2a9f9896e24b 100644 --- a/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt +++ b/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt @@ -51,9 +51,9 @@ achieve a better V-measure than clusters found by MiniBatchKMeans. Vectorizing... Coclustering... - Done in 1.67s. V-measure: 0.4415 + Done in 1.63s. V-measure: 0.4415 MiniBatchKMeans... - Done in 2.44s. V-measure: 0.3015 + Done in 2.22s. V-measure: 0.3015 Best biclusters: ---------------- @@ -239,7 +239,7 @@ achieve a better V-measure than clusters found by MiniBatchKMeans. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.864 seconds) + **Total running time of the script:** ( 0 minutes 6.997 seconds) .. _sphx_glr_download_auto_examples_bicluster_plot_bicluster_newsgroups.py: diff --git a/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt b/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt index e4c4f6f58aa0f..5cbcc69459b51 100644 --- a/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt +++ b/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt @@ -261,7 +261,7 @@ labels are represented by different shades of blue. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.635 seconds) + **Total running time of the script:** ( 0 minutes 0.575 seconds) .. _sphx_glr_download_auto_examples_bicluster_plot_spectral_biclustering.py: diff --git a/dev/_sources/auto_examples/bicluster/plot_spectral_coclustering.rst.txt b/dev/_sources/auto_examples/bicluster/plot_spectral_coclustering.rst.txt index b4baa7bedcdf8..310417f970d2b 100644 --- a/dev/_sources/auto_examples/bicluster/plot_spectral_coclustering.rst.txt +++ b/dev/_sources/auto_examples/bicluster/plot_spectral_coclustering.rst.txt @@ -120,7 +120,7 @@ the biclusters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.383 seconds) + **Total running time of the script:** ( 0 minutes 0.390 seconds) .. _sphx_glr_download_auto_examples_bicluster_plot_spectral_coclustering.py: diff --git a/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt b/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt index fc5dbe253b7cb..5cc843b20b176 100644 --- a/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:07.882** total execution time for **auto_examples_bicluster** files: +**00:07.962** total execution time for **auto_examples_bicluster** files: +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``plot_bicluster_newsgroups.py``) | 00:06.864 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``plot_bicluster_newsgroups.py``) | 00:06.997 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_biclustering.py` (``plot_spectral_biclustering.py``) | 00:00.635 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_biclustering.py` (``plot_spectral_biclustering.py``) | 00:00.575 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_coclustering.py` (``plot_spectral_coclustering.py``) | 00:00.383 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_coclustering.py` (``plot_spectral_coclustering.py``) | 00:00.390 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt b/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt index 60460741ec658..d3eb8fa40f40e 100644 --- a/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt @@ -239,7 +239,7 @@ Plot data and the predicted probabilities .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.423 seconds) + **Total running time of the script:** ( 0 minutes 0.398 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_calibration.py: diff --git a/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt b/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt index 0aaa9a23ae094..f7b53b7f30faa 100644 --- a/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt @@ -633,7 +633,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.275 seconds) + **Total running time of the script:** ( 0 minutes 3.212 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_calibration_curve.py: diff --git a/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt b/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt index a687491f0a16f..7dd4c999caf64 100644 --- a/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt @@ -403,7 +403,7 @@ uncalibrated probability. This illustrates the learned calibration map: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.711 seconds) + **Total running time of the script:** ( 0 minutes 1.744 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_calibration_multiclass.py: diff --git a/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt b/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt index e1dc146ffeade..3cb5cf3fd8f53 100644 --- a/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt @@ -302,7 +302,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.386 seconds) + **Total running time of the script:** ( 0 minutes 1.368 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_compare_calibration.py: diff --git a/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt b/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt index 09b27a1dd4340..b01a9becbc014 100644 --- a/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:06.795** total execution time for **auto_examples_calibration** files: +**00:06.721** total execution time for **auto_examples_calibration** files: +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``plot_calibration_curve.py``) | 00:03.275 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``plot_calibration_curve.py``) | 00:03.212 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py` (``plot_calibration_multiclass.py``) | 00:01.711 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py` (``plot_calibration_multiclass.py``) | 00:01.744 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``plot_compare_calibration.py``) | 00:01.386 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``plot_compare_calibration.py``) | 00:01.368 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration.py` (``plot_calibration.py``) | 00:00.423 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration.py` (``plot_calibration.py``) | 00:00.398 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt b/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt index 1ccf46a3225cd..82c75ce88a1df 100644 --- a/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt @@ -144,7 +144,7 @@ other estimators. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.233 seconds) + **Total running time of the script:** ( 0 minutes 1.358 seconds) .. _sphx_glr_download_auto_examples_classification_plot_classification_probability.py: diff --git a/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt b/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt index 6f76c9bab25af..0ddc2d57ba8af 100644 --- a/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt @@ -192,7 +192,7 @@ set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.884 seconds) + **Total running time of the script:** ( 0 minutes 2.698 seconds) .. _sphx_glr_download_auto_examples_classification_plot_classifier_comparison.py: diff --git a/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt b/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt index 9571ea13695df..227d871fc6940 100644 --- a/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt @@ -315,7 +315,7 @@ as follows: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.503 seconds) + **Total running time of the script:** ( 0 minutes 0.613 seconds) .. _sphx_glr_download_auto_examples_classification_plot_digits_classification.py: diff --git a/dev/_sources/auto_examples/classification/plot_lda.rst.txt b/dev/_sources/auto_examples/classification/plot_lda.rst.txt index d33022ddde0df..dd07013c3eb5c 100644 --- a/dev/_sources/auto_examples/classification/plot_lda.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_lda.rst.txt @@ -139,7 +139,7 @@ Approximating (OAS) estimators of covariance can improve classification. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.871 seconds) + **Total running time of the script:** ( 0 minutes 8.419 seconds) .. _sphx_glr_download_auto_examples_classification_plot_lda.py: diff --git a/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt b/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt index 313a92440327d..91be899271ba3 100644 --- a/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt @@ -281,7 +281,7 @@ Plot .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.334 seconds) + **Total running time of the script:** ( 0 minutes 0.333 seconds) .. _sphx_glr_download_auto_examples_classification_plot_lda_qda.py: diff --git a/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt b/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt index 55d6bc70aad04..4234852f568bf 100644 --- a/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:13.825** total execution time for **auto_examples_classification** files: +**00:13.421** total execution time for **auto_examples_classification** files: +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``plot_lda.py``) | 00:08.871 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``plot_lda.py``) | 00:08.419 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``plot_classifier_comparison.py``) | 00:02.884 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``plot_classifier_comparison.py``) | 00:02.698 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``plot_classification_probability.py``) | 00:01.233 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``plot_classification_probability.py``) | 00:01.358 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_digits_classification.py` (``plot_digits_classification.py``) | 00:00.504 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_digits_classification.py` (``plot_digits_classification.py``) | 00:00.613 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_lda_qda.py` (``plot_lda_qda.py``) | 00:00.334 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_lda_qda.py` (``plot_lda_qda.py``) | 00:00.333 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt b/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt index 08427c1d86895..010572b08cbf6 100644 --- a/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt @@ -351,7 +351,7 @@ of clusters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.170 seconds) + **Total running time of the script:** ( 0 minutes 1.341 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_adjusted_for_chance_measures.py: diff --git a/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt b/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt index 09817c3545862..2d1c866a60c6e 100644 --- a/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt @@ -160,7 +160,7 @@ Plot result .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.350 seconds) + **Total running time of the script:** ( 0 minutes 0.379 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_affinity_propagation.py: diff --git a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt index 125e4bb2bba3a..0c06c70ceba73 100644 --- a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt @@ -51,28 +51,28 @@ which is well known to have this percolation instability. * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_001.png - :alt: n_cluster=30, connectivity=False, linkage=average (time 0.05s), linkage=complete (time 0.04s), linkage=ward (time 0.04s), linkage=single (time 0.01s) + :alt: n_cluster=30, connectivity=False, linkage=average (time 0.04s), linkage=complete (time 0.04s), linkage=ward (time 0.04s), linkage=single (time 0.02s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_001.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_002.png - :alt: n_cluster=3, connectivity=False, linkage=average (time 0.04s), linkage=complete (time 0.04s), linkage=ward (time 0.04s), linkage=single (time 0.01s) + :alt: n_cluster=3, connectivity=False, linkage=average (time 0.04s), linkage=complete (time 0.03s), linkage=ward (time 0.04s), linkage=single (time 0.02s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_002.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_003.png - :alt: n_cluster=30, connectivity=True, linkage=average (time 0.14s), linkage=complete (time 0.11s), linkage=ward (time 0.15s), linkage=single (time 0.02s) + :alt: n_cluster=30, connectivity=True, linkage=average (time 0.11s), linkage=complete (time 0.12s), linkage=ward (time 0.16s), linkage=single (time 0.02s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_003.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_004.png - :alt: n_cluster=3, connectivity=True, linkage=average (time 0.11s), linkage=complete (time 0.12s), linkage=ward (time 0.16s), linkage=single (time 0.03s) + :alt: n_cluster=3, connectivity=True, linkage=average (time 0.11s), linkage=complete (time 0.11s), linkage=ward (time 0.21s), linkage=single (time 0.02s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_004.png :class: sphx-glr-multi-img @@ -145,7 +145,7 @@ which is well known to have this percolation instability. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.169 seconds) + **Total running time of the script:** ( 0 minutes 2.268 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_agglomerative_clustering.py: diff --git a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt index 6ff5971ffffe1..f666fb5a4bf2a 100644 --- a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt @@ -228,7 +228,7 @@ thus the clustering puts them in the same cluster. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.133 seconds) + **Total running time of the script:** ( 0 minutes 1.316 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_agglomerative_clustering_metrics.py: diff --git a/dev/_sources/auto_examples/cluster/plot_agglomerative_dendrogram.rst.txt b/dev/_sources/auto_examples/cluster/plot_agglomerative_dendrogram.rst.txt index 828677e9f0c41..5b52cab80dc43 100644 --- a/dev/_sources/auto_examples/cluster/plot_agglomerative_dendrogram.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_agglomerative_dendrogram.rst.txt @@ -87,7 +87,7 @@ using AgglomerativeClustering and the dendrogram method available in scipy. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.109 seconds) + **Total running time of the script:** ( 0 minutes 0.120 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_agglomerative_dendrogram.py: diff --git a/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt b/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt index cb4ece8b45ba0..6b4f245707a0f 100644 --- a/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt @@ -52,11 +52,11 @@ step before the final (global) clustering step that further reduces these .. code-block:: none - BIRCH without global clustering as the final step took 0.69 seconds + BIRCH without global clustering as the final step took 0.73 seconds n_clusters : 158 - BIRCH with global clustering as the final step took 0.76 seconds + BIRCH with global clustering as the final step took 0.70 seconds n_clusters : 100 - Time taken to run MiniBatchKMeans 0.24 seconds + Time taken to run MiniBatchKMeans 0.27 seconds @@ -158,7 +158,7 @@ step before the final (global) clustering step that further reduces these .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.406 seconds) + **Total running time of the script:** ( 0 minutes 4.603 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py: diff --git a/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt b/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt index 834133bd0cb22..a87cbbfdcb4b4 100644 --- a/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt @@ -99,7 +99,7 @@ present for regular K-Means. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.100 seconds) + **Total running time of the script:** ( 0 minutes 1.282 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_bisect_kmeans.py: diff --git a/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt b/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt index 8c8bd9774ffdb..e87b2e6d9b825 100644 --- a/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt @@ -308,7 +308,7 @@ dimensional data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.689 seconds) + **Total running time of the script:** ( 0 minutes 7.041 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_cluster_comparison.py: diff --git a/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt b/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt index bd08b04d76018..d583c7c6564b0 100644 --- a/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt @@ -124,7 +124,7 @@ The plot shows: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.325 seconds) + **Total running time of the script:** ( 0 minutes 0.353 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_cluster_iris.py: diff --git a/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt b/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt index d4130791f917d..90161dbef348d 100644 --- a/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt @@ -149,21 +149,21 @@ Compute and visualize the resulting regions * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_001.png - :alt: Spectral clustering: kmeans, 1.63s + :alt: Spectral clustering: kmeans, 1.86s :srcset: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_001.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_002.png - :alt: Spectral clustering: discretize, 1.50s + :alt: Spectral clustering: discretize, 1.67s :srcset: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_002.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_003.png - :alt: Spectral clustering: cluster_qr, 1.49s + :alt: Spectral clustering: cluster_qr, 1.63s :srcset: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_003.png :class: sphx-glr-multi-img @@ -172,9 +172,9 @@ Compute and visualize the resulting regions .. code-block:: none - Spectral clustering: kmeans, 1.63s - Spectral clustering: discretize, 1.50s - Spectral clustering: cluster_qr, 1.49s + Spectral clustering: kmeans, 1.86s + Spectral clustering: discretize, 1.67s + Spectral clustering: cluster_qr, 1.63s @@ -182,7 +182,7 @@ Compute and visualize the resulting regions .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.997 seconds) + **Total running time of the script:** ( 0 minutes 5.542 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_coin_segmentation.py: diff --git a/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt b/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt index d4d025a582f59..87d74712e4dfa 100644 --- a/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt @@ -202,7 +202,7 @@ is finding a large in the background. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.387 seconds) + **Total running time of the script:** ( 0 minutes 0.425 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_coin_ward_segmentation.py: diff --git a/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt b/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt index b1d04293c8915..46cc0ff16186a 100644 --- a/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt @@ -72,9 +72,9 @@ randomly) is also shown. Fitting model on a small sub-sample of the data done in 0.020s. Predicting color indices on the full image (k-means) - done in 0.042s. + done in 0.052s. Predicting color indices on the full image (random) - done in 0.079s. + done in 0.083s. @@ -167,7 +167,7 @@ randomly) is also shown. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.542 seconds) + **Total running time of the script:** ( 0 minutes 0.590 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_color_quantization.py: diff --git a/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt b/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt index 4f50084a321f7..9d5a0a0c953dc 100644 --- a/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt @@ -240,7 +240,7 @@ black. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.198 seconds) + **Total running time of the script:** ( 0 minutes 0.208 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_dbscan.py: diff --git a/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt b/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt index a602c788c6433..0390cd5c77196 100644 --- a/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt @@ -142,7 +142,7 @@ Learn the dictionary of images Partial fit of 2200 out of 2400 Partial fit of 2300 out of 2400 Partial fit of 2400 out of 2400 - done in 1.33s. + done in 1.58s. @@ -178,7 +178,7 @@ Plot the results .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_dict_face_patches_001.png - :alt: Patches of faces Train time 1.3s on 3200 patches + :alt: Patches of faces Train time 1.6s on 3200 patches :srcset: /auto_examples/cluster/images/sphx_glr_plot_dict_face_patches_001.png :class: sphx-glr-single-img @@ -189,7 +189,7 @@ Plot the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.841 seconds) + **Total running time of the script:** ( 0 minutes 3.256 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_dict_face_patches.py: diff --git a/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt b/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt index d57ff11ba527f..ecc2bd371e70d 100644 --- a/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt @@ -94,7 +94,7 @@ feature agglomeration. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.187 seconds) + **Total running time of the script:** ( 0 minutes 0.202 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_digits_agglomeration.py: diff --git a/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt b/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt index da21573432419..a5af035243e7b 100644 --- a/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt @@ -86,9 +86,9 @@ random resampling of the dataset. Computing embedding Done. - ward : 0.05s - average : 0.05s - complete : 0.06s + ward : 0.06s + average : 0.06s + complete : 0.05s single : 0.02s @@ -164,7 +164,7 @@ random resampling of the dataset. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.487 seconds) + **Total running time of the script:** ( 0 minutes 1.610 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_digits_linkage.py: diff --git a/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt b/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt index 6ab6927076f61..54e214a028bb5 100644 --- a/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt @@ -417,7 +417,7 @@ a 64-bit float representation. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.497 seconds) + **Total running time of the script:** ( 0 minutes 2.820 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_face_compress.py: diff --git a/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt b/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt index 50956566f8328..98b3de0b53c42 100644 --- a/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt @@ -191,14 +191,14 @@ Ward agglomeration followed by BayesianRidge ..., [ 0.275706, ..., -1.085711]]), connectivity=<1600x1600 sparse matrix of type '' with 7840 stored elements in COOrdinate format>, n_clusters=None, return_distance=False) - ________________________________________________________ward_tree - 0.0s, 0.0min + ________________________________________________________ward_tree - 0.1s, 0.0min ________________________________________________________________________________ [Memory] Calling sklearn.cluster._agglomerative.ward_tree... ward_tree(array([[ 0.905206, ..., 0.161245], ..., [-0.849835, ..., -1.091621]]), connectivity=<1600x1600 sparse matrix of type '' with 7840 stored elements in COOrdinate format>, n_clusters=None, return_distance=False) - ________________________________________________________ward_tree - 0.0s, 0.0min + ________________________________________________________ward_tree - 0.1s, 0.0min ________________________________________________________________________________ [Memory] Calling sklearn.cluster._agglomerative.ward_tree... ward_tree(array([[ 0.905206, ..., -0.675318], @@ -314,7 +314,7 @@ Attempt to remove the temporary cachedir, but don't worry if it fails .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.601 seconds) + **Total running time of the script:** ( 0 minutes 0.633 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py: diff --git a/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt b/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt index 1acf26b062990..7edb226d1d0ca 100644 --- a/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt @@ -449,7 +449,7 @@ and the minimum spanning tree. All we need to do is specify the `cut_distance` .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 15.282 seconds) + **Total running time of the script:** ( 0 minutes 17.198 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_hdbscan.py: diff --git a/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt b/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt index 74dd3c9f04a8e..7b86e4f287a6f 100644 --- a/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt @@ -164,7 +164,7 @@ extends clustering by inducing a classifier from the cluster labels. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.222 seconds) + **Total running time of the script:** ( 0 minutes 2.277 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_inductive_clustering.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt index 73ac3b537ce51..dcc022fa092b3 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt @@ -314,7 +314,7 @@ to restart it several times to avoid convergence to a local minimum. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.276 seconds) + **Total running time of the script:** ( 0 minutes 1.376 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_assumptions.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt index 675cbeee5b80b..8bb664453b142 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt @@ -207,9 +207,9 @@ We will compare three approaches: __________________________________________________________________________________ init time inertia homo compl v-meas ARI AMI silhouette - k-means++ 0.039s 69545 0.598 0.645 0.621 0.469 0.617 0.152 - random 0.046s 69735 0.681 0.723 0.701 0.574 0.698 0.170 - PCA-based 0.014s 72686 0.636 0.658 0.647 0.521 0.643 0.142 + k-means++ 0.041s 69545 0.598 0.645 0.621 0.469 0.617 0.152 + random 0.071s 69735 0.681 0.723 0.701 0.574 0.698 0.170 + PCA-based 0.015s 72686 0.636 0.658 0.647 0.521 0.643 0.142 __________________________________________________________________________________ @@ -295,7 +295,7 @@ we can use :class:`~sklearn.decomposition.PCA` to project into a .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.938 seconds) + **Total running time of the script:** ( 0 minutes 0.886 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_digits.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt index 1290c16b2b27a..80c81b835ad3b 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt @@ -77,7 +77,7 @@ K-Means++ is used as the default initialization for :ref:`k_means`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.072 seconds) + **Total running time of the script:** ( 0 minutes 0.095 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_plusplus.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt index 6efd3846a6d9e..5c62350c978ae 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt @@ -241,7 +241,7 @@ verified from the labelled scatter plot on the right. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.176 seconds) + **Total running time of the script:** ( 0 minutes 1.294 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_silhouette_analysis.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt index ff8120158a11f..27893001bbb2d 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt @@ -192,7 +192,7 @@ clusters widely spaced. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.505 seconds) + **Total running time of the script:** ( 0 minutes 1.605 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py: diff --git a/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt b/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt index c3b8166df7360..8338203a94c52 100644 --- a/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt @@ -236,7 +236,7 @@ Run the clustering and plot .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.250 seconds) + **Total running time of the script:** ( 0 minutes 2.236 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_linkage_comparison.py: diff --git a/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt b/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt index 2e6118ea0819f..d839642e59ac8 100644 --- a/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt @@ -146,7 +146,7 @@ Plot result .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.474 seconds) + **Total running time of the script:** ( 0 minutes 0.610 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_mean_shift.py: diff --git a/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt b/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt index 7e6ab85499339..fcddd7ce82b41 100644 --- a/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt @@ -232,7 +232,7 @@ Plotting the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.238 seconds) + **Total running time of the script:** ( 0 minutes 0.217 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_mini_batch_kmeans.py: diff --git a/dev/_sources/auto_examples/cluster/plot_optics.rst.txt b/dev/_sources/auto_examples/cluster/plot_optics.rst.txt index d764618b6e56a..a09ed8da519c8 100644 --- a/dev/_sources/auto_examples/cluster/plot_optics.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_optics.rst.txt @@ -143,7 +143,7 @@ thresholds in DBSCAN. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.437 seconds) + **Total running time of the script:** ( 0 minutes 1.580 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_optics.py: diff --git a/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt b/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt index 6aefe1622c84e..0bcd80d693b68 100644 --- a/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt @@ -237,7 +237,7 @@ circles as the region sizes are easier to balance in this case. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.561 seconds) + **Total running time of the script:** ( 0 minutes 0.593 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_segmentation_toy.py: diff --git a/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt b/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt index 934afcddf3d9b..88af3b48a3326 100644 --- a/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt @@ -264,7 +264,7 @@ Plotting the structured hierarchical clusters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.399 seconds) + **Total running time of the script:** ( 0 minutes 0.425 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_ward_structured_vs_unstructured.py: diff --git a/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt b/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt index 51d9670c8fd0f..fbda6150e9ea4 100644 --- a/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt @@ -6,68 +6,68 @@ Computation times ================= -**00:59.019** total execution time for **auto_examples_cluster** files: +**01:04.381** total execution time for **auto_examples_cluster** files: +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``plot_hdbscan.py``) | 00:15.282 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``plot_hdbscan.py``) | 00:17.198 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``plot_cluster_comparison.py``) | 00:06.689 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``plot_cluster_comparison.py``) | 00:07.041 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``plot_coin_segmentation.py``) | 00:04.997 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``plot_coin_segmentation.py``) | 00:05.542 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``plot_birch_vs_minibatchkmeans.py``) | 00:04.406 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``plot_birch_vs_minibatchkmeans.py``) | 00:04.603 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``plot_dict_face_patches.py``) | 00:02.841 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``plot_dict_face_patches.py``) | 00:03.256 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``plot_face_compress.py``) | 00:02.497 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``plot_face_compress.py``) | 00:02.820 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``plot_linkage_comparison.py``) | 00:02.250 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``plot_inductive_clustering.py``) | 00:02.277 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``plot_inductive_clustering.py``) | 00:02.222 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``plot_agglomerative_clustering.py``) | 00:02.268 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``plot_agglomerative_clustering.py``) | 00:02.169 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``plot_linkage_comparison.py``) | 00:02.236 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py` (``plot_kmeans_stability_low_dim_dense.py``) | 00:01.505 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py` (``plot_digits_linkage.py``) | 00:01.610 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py` (``plot_digits_linkage.py``) | 00:01.487 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py` (``plot_kmeans_stability_low_dim_dense.py``) | 00:01.605 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``plot_optics.py``) | 00:01.437 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``plot_optics.py``) | 00:01.580 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py` (``plot_kmeans_assumptions.py``) | 00:01.276 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py` (``plot_kmeans_assumptions.py``) | 00:01.376 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py` (``plot_kmeans_silhouette_analysis.py``) | 00:01.176 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py` (``plot_adjusted_for_chance_measures.py``) | 00:01.341 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py` (``plot_adjusted_for_chance_measures.py``) | 00:01.170 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py` (``plot_agglomerative_clustering_metrics.py``) | 00:01.316 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py` (``plot_agglomerative_clustering_metrics.py``) | 00:01.133 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py` (``plot_kmeans_silhouette_analysis.py``) | 00:01.294 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_bisect_kmeans.py` (``plot_bisect_kmeans.py``) | 00:01.100 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_bisect_kmeans.py` (``plot_bisect_kmeans.py``) | 00:01.282 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``plot_kmeans_digits.py``) | 00:00.938 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``plot_kmeans_digits.py``) | 00:00.886 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py` (``plot_feature_agglomeration_vs_univariate_selection.py``) | 00:00.601 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py` (``plot_feature_agglomeration_vs_univariate_selection.py``) | 00:00.633 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py` (``plot_segmentation_toy.py``) | 00:00.561 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py` (``plot_mean_shift.py``) | 00:00.610 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py` (``plot_color_quantization.py``) | 00:00.542 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py` (``plot_segmentation_toy.py``) | 00:00.593 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py` (``plot_mean_shift.py``) | 00:00.474 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py` (``plot_color_quantization.py``) | 00:00.590 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py` (``plot_ward_structured_vs_unstructured.py``) | 00:00.399 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py` (``plot_ward_structured_vs_unstructured.py``) | 00:00.425 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py` (``plot_coin_ward_segmentation.py``) | 00:00.387 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py` (``plot_coin_ward_segmentation.py``) | 00:00.425 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``plot_affinity_propagation.py``) | 00:00.350 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``plot_affinity_propagation.py``) | 00:00.379 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py` (``plot_cluster_iris.py``) | 00:00.325 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py` (``plot_cluster_iris.py``) | 00:00.353 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py` (``plot_mini_batch_kmeans.py``) | 00:00.238 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py` (``plot_mini_batch_kmeans.py``) | 00:00.217 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``plot_dbscan.py``) | 00:00.198 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``plot_dbscan.py``) | 00:00.208 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py` (``plot_digits_agglomeration.py``) | 00:00.187 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py` (``plot_digits_agglomeration.py``) | 00:00.202 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_dendrogram.py` (``plot_agglomerative_dendrogram.py``) | 00:00.109 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_dendrogram.py` (``plot_agglomerative_dendrogram.py``) | 00:00.120 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_plusplus.py` (``plot_kmeans_plusplus.py``) | 00:00.072 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_plusplus.py` (``plot_kmeans_plusplus.py``) | 00:00.095 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt b/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt index 234791d6ccf4e..698ca27667978 100644 --- a/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt @@ -319,7 +319,7 @@ topics for ``X_test``. Performance metrics of our pipeline are then printed. .. code-block:: none [Pipeline] ....... (step 1 of 3) Processing subjectbody, total= 0.0s - [Pipeline] ............. (step 2 of 3) Processing union, total= 0.5s + [Pipeline] ............. (step 2 of 3) Processing union, total= 0.4s [Pipeline] ............... (step 3 of 3) Processing svc, total= 0.0s Classification report: @@ -339,7 +339,7 @@ topics for ``X_test``. Performance metrics of our pipeline are then printed. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.603 seconds) + **Total running time of the script:** ( 0 minutes 2.714 seconds) .. _sphx_glr_download_auto_examples_compose_plot_column_transformer.py: diff --git a/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt b/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt index cae3f126de288..955d52a5a8cfe 100644 --- a/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt @@ -221,7 +221,7 @@ representation of the estimator is displayed: OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7f57da218670>))]), + score_func=<function chi2 at 0x7ff1e3f0e670>))]), ['embarked', 'sex', 'pclass'])])), ('classifier', LogisticRegression())])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. + score_func=<function chi2 at 0x7ff1e3f0e670>))]), + ['embarked', 'sex', 'pclass'])])
['age', 'fare']
SimpleImputer(strategy='median')
StandardScaler()
['embarked', 'sex', 'pclass']
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7ff1e3f0e670>)
LogisticRegression()


@@ -374,40 +374,40 @@ can use this information to dispatch the categorical columns to the SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3310>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794c70>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7f57da218670>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3430>)])), + score_func=<function chi2 at 0x7ff1e3f0e670>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>)])), ('classifier', LogisticRegression())])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. + score_func=<function chi2 at 0x7ff1e3f0e670>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794c70>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7ff1e3f0e670>)
LogisticRegression()


@@ -501,13 +501,13 @@ the parameter space will be evaluated. SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3310>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794c70>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('s... - score_func=<function chi2 at 0x7f57da218670>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3430>)])), + score_func=<function chi2 at 0x7ff1e3f0e670>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>)])), ('classifier', LogisticRegression())]), param_distributions={'classifier__C': [0.1, 1.0, 10, 100], @@ -523,13 +523,13 @@ the parameter space will be evaluated. SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3310>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794c70>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('s... - score_func=<function chi2 at 0x7f57da218670>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3430>)])), + score_func=<function chi2 at 0x7ff1e3f0e670>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>)])), ('classifier', LogisticRegression())]), param_distributions={'classifier__C': [0.1, 1.0, 10, 100], @@ -545,26 +545,26 @@ the parameter space will be evaluated. SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3310>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794c70>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7f57da218670>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3430>)])), + score_func=<function chi2 at 0x7ff1e3f0e670>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>)])), ('classifier', LogisticRegression())])
ColumnTransformer(transformers=[('num',
                                      Pipeline(steps=[('imputer',
                                                       SimpleImputer(strategy='median')),
                                                      ('scaler', StandardScaler())]),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3310>),
+                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794c70>),
                                     ('cat',
                                      Pipeline(steps=[('encoder',
                                                       OneHotEncoder(handle_unknown='ignore')),
                                                      ('selector',
                                                       SelectPercentile(percentile=50,
-                                                                       score_func=<function chi2 at 0x7f57da218670>))]),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3430>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3310>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7f57b47b3430>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7f57da218670>)
LogisticRegression()
+ score_func=<function chi2 at 0x7ff1e3f0e670>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794c70>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff1b7794070>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7ff1e3f0e670>)
LogisticRegression()


@@ -755,7 +755,7 @@ not used for hyperparameter tuning. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.275 seconds) + **Total running time of the script:** ( 0 minutes 1.249 seconds) .. _sphx_glr_download_auto_examples_compose_plot_column_transformer_mixed_types.py: diff --git a/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt b/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt index d47e46f5a2821..53f00b7dcef89 100644 --- a/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt @@ -123,7 +123,7 @@ Illustration of ``Pipeline`` and ``GridSearchCV`` NMF(max_iter=1000)], 'reduce_dim__n_components': [2, 4, 8]}, {'classify__C': [1, 10, 100, 1000], - 'reduce_dim': [SelectKBest(score_func=<function mutual_info_classif at 0x7f57da0b4af0>)], + 'reduce_dim': [SelectKBest(score_func=<function mutual_info_classif at 0x7ff1e3d9caf0>)], 'reduce_dim__k': [2, 4, 8]}])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. @@ -236,7 +236,7 @@ a transformer is costly. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 46.840 seconds) + **Total running time of the script:** ( 0 minutes 50.021 seconds) .. _sphx_glr_download_auto_examples_compose_plot_compare_reduction.py: diff --git a/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt b/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt index 622fa59b60404..1737f7f2bcd22 100644 --- a/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt @@ -127,7 +127,7 @@ We use a GridSearchCV to set the dimensionality of the PCA .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.880 seconds) + **Total running time of the script:** ( 0 minutes 3.905 seconds) .. _sphx_glr_download_auto_examples_compose_plot_digits_pipe.py: diff --git a/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt b/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt index e449bbc828244..d874ef1a561ec 100644 --- a/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt @@ -288,7 +288,7 @@ dataset and is only used to illustrate the usage of FeatureUnion. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.455 seconds) + **Total running time of the script:** ( 0 minutes 0.431 seconds) .. _sphx_glr_download_auto_examples_compose_plot_feature_union.py: diff --git a/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt b/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt index 6c9eef47804b1..1fd276e05d4ea 100644 --- a/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt @@ -381,7 +381,7 @@ better model fit. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.322 seconds) + **Total running time of the script:** ( 0 minutes 1.355 seconds) .. _sphx_glr_download_auto_examples_compose_plot_transformed_target.py: diff --git a/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt b/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt index 3a259ce6b8107..8176160afed70 100644 --- a/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt @@ -6,18 +6,18 @@ Computation times ================= -**00:56.376** total execution time for **auto_examples_compose** files: +**00:59.675** total execution time for **auto_examples_compose** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``plot_compare_reduction.py``) | 00:46.840 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``plot_compare_reduction.py``) | 00:50.021 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py` (``plot_digits_pipe.py``) | 00:03.880 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py` (``plot_digits_pipe.py``) | 00:03.905 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``plot_column_transformer.py``) | 00:02.603 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``plot_column_transformer.py``) | 00:02.714 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py` (``plot_transformed_target.py``) | 00:01.322 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py` (``plot_transformed_target.py``) | 00:01.355 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer_mixed_types.py` (``plot_column_transformer_mixed_types.py``) | 00:01.275 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer_mixed_types.py` (``plot_column_transformer_mixed_types.py``) | 00:01.249 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py` (``plot_feature_union.py``) | 00:00.455 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py` (``plot_feature_union.py``) | 00:00.431 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt b/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt index 0e3cad12b051a..9e781774fde68 100644 --- a/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt @@ -234,7 +234,7 @@ cross-validation, or with the LedoitWolf and OAS estimates. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.458 seconds) + **Total running time of the script:** ( 0 minutes 0.484 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_covariance_estimation.py: diff --git a/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt b/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt index f5f3afe68cd38..e50b2d0ff5566 100644 --- a/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt @@ -150,7 +150,7 @@ Chen et al., IEEE Trans. on Sign. Proc., Volume 58, Issue 10, October 2010. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.632 seconds) + **Total running time of the script:** ( 0 minutes 2.683 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_lw_vs_oas.py: diff --git a/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt b/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt index 432c9c60183d9..baf23d38f9d32 100644 --- a/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt @@ -304,7 +304,7 @@ distribution of inlier samples for robust MCD based Mahalanobis distances. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.341 seconds) + **Total running time of the script:** ( 0 minutes 0.329 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_mahalanobis_distances.py: diff --git a/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt b/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt index 29de206843380..04917241c9372 100644 --- a/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt @@ -220,7 +220,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.164 seconds) + **Total running time of the script:** ( 0 minutes 3.251 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_robust_vs_empirical_covariance.py: diff --git a/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt b/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt index 2f772f007a783..dcb13812978a4 100644 --- a/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt @@ -248,7 +248,7 @@ Plot the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.590 seconds) + **Total running time of the script:** ( 0 minutes 0.625 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_sparse_cov.py: diff --git a/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt b/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt index 451e517b76159..2262d39a92fe0 100644 --- a/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:07.186** total execution time for **auto_examples_covariance** files: +**00:07.371** total execution time for **auto_examples_covariance** files: +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``plot_robust_vs_empirical_covariance.py``) | 00:03.164 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``plot_robust_vs_empirical_covariance.py``) | 00:03.251 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``plot_lw_vs_oas.py``) | 00:02.632 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``plot_lw_vs_oas.py``) | 00:02.683 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py` (``plot_sparse_cov.py``) | 00:00.590 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py` (``plot_sparse_cov.py``) | 00:00.625 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py` (``plot_covariance_estimation.py``) | 00:00.458 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py` (``plot_covariance_estimation.py``) | 00:00.484 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py` (``plot_mahalanobis_distances.py``) | 00:00.341 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py` (``plot_mahalanobis_distances.py``) | 00:00.329 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt b/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt index 19906d11d255e..9b6f032a38ec0 100644 --- a/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt +++ b/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt @@ -321,7 +321,7 @@ CCA (PLS mode B with symmetric deflation) .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.249 seconds) + **Total running time of the script:** ( 0 minutes 0.261 seconds) .. _sphx_glr_download_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py: diff --git a/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt b/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt index dbf137570a8dd..5cfe9da61d093 100644 --- a/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt +++ b/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt @@ -277,7 +277,7 @@ component which has the most preditive power on the target. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.542 seconds) + **Total running time of the script:** ( 0 minutes 0.533 seconds) .. _sphx_glr_download_auto_examples_cross_decomposition_plot_pcr_vs_pls.py: diff --git a/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt b/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt index 1cb3005c2d999..a5fdedee24e4b 100644 --- a/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt @@ -6,10 +6,10 @@ Computation times ================= -**00:00.791** total execution time for **auto_examples_cross_decomposition** files: +**00:00.794** total execution time for **auto_examples_cross_decomposition** files: +---------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_pcr_vs_pls.py` (``plot_pcr_vs_pls.py``) | 00:00.542 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_pcr_vs_pls.py` (``plot_pcr_vs_pls.py``) | 00:00.533 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py` (``plot_compare_cross_decomposition.py``) | 00:00.249 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py` (``plot_compare_cross_decomposition.py``) | 00:00.261 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/datasets/plot_digits_last_image.rst.txt b/dev/_sources/auto_examples/datasets/plot_digits_last_image.rst.txt index 3ab990c8b1660..13372d4c7679d 100644 --- a/dev/_sources/auto_examples/datasets/plot_digits_last_image.rst.txt +++ b/dev/_sources/auto_examples/datasets/plot_digits_last_image.rst.txt @@ -66,7 +66,7 @@ for more information about this dataset. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.061 seconds) + **Total running time of the script:** ( 0 minutes 0.065 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_digits_last_image.py: diff --git a/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt b/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt index d26cdfec4bf94..2d031d0ac0f3e 100644 --- a/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt +++ b/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt @@ -122,7 +122,7 @@ information on this dataset. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.182 seconds) + **Total running time of the script:** ( 0 minutes 0.168 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_iris_dataset.py: diff --git a/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt b/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt index 198efd923f2fb..951a92924283f 100644 --- a/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt +++ b/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt @@ -95,7 +95,7 @@ The final 2 plots use :func:`~sklearn.datasets.make_blobs` and .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.398 seconds) + **Total running time of the script:** ( 0 minutes 0.373 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_random_dataset.py: diff --git a/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt b/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt index fa6bc8635a938..33634d5573b6e 100644 --- a/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt +++ b/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt @@ -155,7 +155,7 @@ feature distinguishes a particular class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.143 seconds) + **Total running time of the script:** ( 0 minutes 0.148 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_random_multilabel_dataset.py: diff --git a/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt b/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt index f59fed681b396..d7ec1708e41c1 100644 --- a/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:00.783** total execution time for **auto_examples_datasets** files: +**00:00.754** total execution time for **auto_examples_datasets** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py` (``plot_random_dataset.py``) | 00:00.398 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py` (``plot_random_dataset.py``) | 00:00.373 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_iris_dataset.py` (``plot_iris_dataset.py``) | 00:00.182 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_iris_dataset.py` (``plot_iris_dataset.py``) | 00:00.168 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_random_multilabel_dataset.py` (``plot_random_multilabel_dataset.py``) | 00:00.143 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_random_multilabel_dataset.py` (``plot_random_multilabel_dataset.py``) | 00:00.148 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_digits_last_image.py` (``plot_digits_last_image.py``) | 00:00.061 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_digits_last_image.py` (``plot_digits_last_image.py``) | 00:00.065 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt b/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt index 7c3384b06358a..5ffc01bda5248 100644 --- a/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt @@ -595,7 +595,7 @@ coefficients are positively constrained. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 10.166 seconds) + **Total running time of the script:** ( 0 minutes 11.866 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_faces_decomposition.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt b/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt index a0c7a94338ca0..d3e4084db3927 100644 --- a/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt @@ -144,7 +144,7 @@ Plot results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.336 seconds) + **Total running time of the script:** ( 0 minutes 0.373 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_ica_blind_source_separation.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt b/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt index 0fc2b4789aa06..3f96da24f47ea 100644 --- a/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt @@ -177,7 +177,7 @@ Plot results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.291 seconds) + **Total running time of the script:** ( 0 minutes 0.356 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_ica_vs_pca.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt b/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt index 5b0b5141e4ee2..1493bea78b080 100644 --- a/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt @@ -229,7 +229,7 @@ Learn the dictionary from reference patches .. image-sg:: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_002.png - :alt: Dictionary learned from face patches Train time 19.8s on 22692 patches + :alt: Dictionary learned from face patches Train time 23.3s on 22692 patches :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_002.png :class: sphx-glr-single-img @@ -239,7 +239,7 @@ Learn the dictionary from reference patches .. code-block:: none Learning the dictionary... - 2.0 iterations / 125 steps in 19.84. + 2.0 iterations / 125 steps in 23.30. @@ -301,21 +301,21 @@ Extract noisy patches and reconstruct them using the dictionary * .. image-sg:: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_003.png - :alt: Orthogonal Matching Pursuit 1 atom (time: 0.6s), Image, Difference (norm: 10.70) + :alt: Orthogonal Matching Pursuit 1 atom (time: 0.7s), Image, Difference (norm: 10.70) :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_003.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_004.png - :alt: Orthogonal Matching Pursuit 2 atoms (time: 1.2s), Image, Difference (norm: 9.37) + :alt: Orthogonal Matching Pursuit 2 atoms (time: 1.5s), Image, Difference (norm: 9.37) :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_004.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_005.png - :alt: Least-angle regression 4 atoms (time: 10.2s), Image, Difference (norm: 13.35) + :alt: Least-angle regression 4 atoms (time: 12.2s), Image, Difference (norm: 13.35) :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_005.png :class: sphx-glr-multi-img @@ -335,16 +335,16 @@ Extract noisy patches and reconstruct them using the dictionary done in 0.00s. Orthogonal Matching Pursuit 1 atom... - done in 0.59s. + done in 0.69s. Orthogonal Matching Pursuit 2 atoms... - done in 1.21s. + done in 1.49s. Least-angle regression 4 atoms... - done in 10.16s. + done in 12.17s. Thresholding alpha=0.1... - done in 0.10s. + done in 0.11s. @@ -352,7 +352,7 @@ Extract noisy patches and reconstruct them using the dictionary .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 33.432 seconds) + **Total running time of the script:** ( 0 minutes 39.503 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_image_denoising.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt b/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt index f097f0ad93ebe..9d7c2f248d2ed 100644 --- a/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt @@ -109,7 +109,7 @@ incremental approaches. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.269 seconds) + **Total running time of the script:** ( 0 minutes 0.282 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_incremental_pca.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt b/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt index 1a5034f26ce67..479175b551788 100644 --- a/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt @@ -285,7 +285,7 @@ the mapping. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.627 seconds) + **Total running time of the script:** ( 0 minutes 0.759 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_kernel_pca.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt index 0b1947daa6482..caa41c4404396 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt @@ -172,7 +172,7 @@ Plot the figures .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.165 seconds) + **Total running time of the script:** ( 0 minutes 0.222 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_3d.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt index cd8093ee9d439..f59c5d8856268 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt @@ -94,7 +94,7 @@ information on this dataset. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.084 seconds) + **Total running time of the script:** ( 0 minutes 0.098 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_iris.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt index ff38989bb3204..1accdbf8aff1c 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt @@ -228,7 +228,7 @@ Fit the models .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.903 seconds) + **Total running time of the script:** ( 0 minutes 3.278 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt index 625dc40bcbcdb..e4cc398df1044 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt @@ -121,7 +121,7 @@ LDA, in contrast to PCA, is a supervised method, using known class labels. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.227 seconds) + **Total running time of the script:** ( 0 minutes 0.270 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_vs_lda.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt b/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt index 10688a8f04a63..b65850ea0bb30 100644 --- a/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt @@ -155,7 +155,7 @@ is performed in order to stay on the same order of magnitude. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.295 seconds) + **Total running time of the script:** ( 0 minutes 0.396 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_sparse_coding.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt b/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt index 51e871f71572e..1e4460df6f31a 100644 --- a/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt @@ -186,7 +186,7 @@ Run factor analysis with Varimax rotation .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.401 seconds) + **Total running time of the script:** ( 0 minutes 0.507 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_varimax_fa.py: diff --git a/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt b/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt index 75880c5f1eaa2..9336e4ab8aaab 100644 --- a/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt @@ -6,30 +6,30 @@ Computation times ================= -**00:49.196** total execution time for **auto_examples_decomposition** files: +**00:57.911** total execution time for **auto_examples_decomposition** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``plot_image_denoising.py``) | 00:33.432 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``plot_image_denoising.py``) | 00:39.503 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``plot_faces_decomposition.py``) | 00:10.166 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``plot_faces_decomposition.py``) | 00:11.866 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``plot_pca_vs_fa_model_selection.py``) | 00:02.903 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``plot_pca_vs_fa_model_selection.py``) | 00:03.278 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_kernel_pca.py` (``plot_kernel_pca.py``) | 00:00.627 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_kernel_pca.py` (``plot_kernel_pca.py``) | 00:00.759 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_varimax_fa.py` (``plot_varimax_fa.py``) | 00:00.401 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_varimax_fa.py` (``plot_varimax_fa.py``) | 00:00.507 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_blind_source_separation.py` (``plot_ica_blind_source_separation.py``) | 00:00.336 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_sparse_coding.py` (``plot_sparse_coding.py``) | 00:00.396 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_sparse_coding.py` (``plot_sparse_coding.py``) | 00:00.295 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_blind_source_separation.py` (``plot_ica_blind_source_separation.py``) | 00:00.373 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_vs_pca.py` (``plot_ica_vs_pca.py``) | 00:00.291 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_vs_pca.py` (``plot_ica_vs_pca.py``) | 00:00.356 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_incremental_pca.py` (``plot_incremental_pca.py``) | 00:00.269 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_incremental_pca.py` (``plot_incremental_pca.py``) | 00:00.282 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py` (``plot_pca_vs_lda.py``) | 00:00.227 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py` (``plot_pca_vs_lda.py``) | 00:00.270 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_3d.py` (``plot_pca_3d.py``) | 00:00.165 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_3d.py` (``plot_pca_3d.py``) | 00:00.222 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``plot_pca_iris.py``) | 00:00.084 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``plot_pca_iris.py``) | 00:00.098 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt index e36cc8de65e10..0acbb7c26a72c 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt @@ -302,7 +302,7 @@ is lower than that of discrete AdaBoost. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 17.866 seconds) + **Total running time of the script:** ( 0 minutes 17.960 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_hastie_10_2.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt index a3119bff92b86..f564a12a292fa 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt @@ -157,7 +157,7 @@ therefore are not shown. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.942 seconds) + **Total running time of the script:** ( 0 minutes 7.744 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_multiclass.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt index 3444f711ce3d8..aba5c1f9a9633 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt @@ -138,7 +138,7 @@ single decision tree regressor and AdaBoost regressor, could fit the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.479 seconds) + **Total running time of the script:** ( 0 minutes 0.542 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_regression.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt index 624df183d5c20..d1c9e31ff8ba8 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt @@ -159,7 +159,7 @@ with a decision score above some value. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.634 seconds) + **Total running time of the script:** ( 0 minutes 0.646 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_twoclass.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt b/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt index 5d26b22898b4b..9e8b0463fd576 100644 --- a/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt @@ -237,7 +237,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.218 seconds) + **Total running time of the script:** ( 0 minutes 1.219 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_bias_variance.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt b/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt index e52217d7fbcde..100adcf2e6a4a 100644 --- a/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt @@ -140,7 +140,7 @@ error stabilizes. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.782 seconds) + **Total running time of the script:** ( 0 minutes 3.983 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_ensemble_oob.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt b/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt index d08c50957453f..2eb81adb2ccb9 100644 --- a/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt @@ -243,18 +243,18 @@ Therefore, we wrapped the call to `apply` within a `FunctionTransformer`. 
Pipeline(steps=[('functiontransformer',
-                     FunctionTransformer(func=<function rf_apply at 0x7f57b71f8af0>,
+                     FunctionTransformer(func=<function rf_apply at 0x7ff1d17ec700>,
                                          kw_args={'model': RandomForestClassifier(max_depth=3,
                                                                                   n_estimators=10,
                                                                                   random_state=10)})),
                     ('onehotencoder', OneHotEncoder(handle_unknown='ignore')),
                     ('logisticregression', LogisticRegression(max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
@@ -290,16 +290,16 @@ Therefore, we wrapped the call to `apply` within a `FunctionTransformer`. 
Pipeline(steps=[('functiontransformer',
-                     FunctionTransformer(func=<function gbdt_apply at 0x7f57b76f6ca0>,
+                     FunctionTransformer(func=<function gbdt_apply at 0x7ff1d04679d0>,
                                          kw_args={'model': GradientBoostingClassifier(n_estimators=10,
                                                                                       random_state=10)})),
                     ('onehotencoder', OneHotEncoder(handle_unknown='ignore')),
                     ('logisticregression', LogisticRegression(max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
@@ -374,7 +374,7 @@ We can finally show the different ROC curves for all the models. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.253 seconds) + **Total running time of the script:** ( 0 minutes 3.378 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_feature_transformation.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt index ea4668ddd830c..8964eb2850719 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt @@ -305,7 +305,7 @@ folds of the cross-validation.
-
+


@@ -341,7 +341,7 @@ accuracy trade-off of the RF models in this case. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 53.092 seconds) + **Total running time of the script:** ( 0 minutes 58.422 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt index df3eba6d01dfc..b76755cbaf98c 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt @@ -210,7 +210,7 @@ and can be computed on a left-out test set. .. code-block:: none - Elapsed time to compute the importances: 0.731 seconds + Elapsed time to compute the importances: 0.741 seconds @@ -255,7 +255,7 @@ permutation importance to fully omit a feature. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.220 seconds) + **Total running time of the script:** ( 0 minutes 1.253 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_importances.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt index 94b42ac86e8f6..9a6db1fda6904 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt @@ -181,7 +181,7 @@ deviation of accumulation of the impurity decrease within each tree. .. code-block:: none - Elapsed time to compute the importances: 0.121 seconds + Elapsed time to compute the importances: 0.124 seconds @@ -205,7 +205,7 @@ the :func:`~sklearn.inspection.permutation_importance`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.293 seconds) + **Total running time of the script:** ( 0 minutes 1.308 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_importances_faces.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt index 05c413cf6ba38..9a27dcb5a9173 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt @@ -229,7 +229,7 @@ samples are built sequentially and so do not use multiple cores. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.734 seconds) + **Total running time of the script:** ( 0 minutes 7.539 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_iris.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt index 9f3c9a6bd4e1a..e227e101f670d 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt @@ -409,7 +409,7 @@ to the baseline model that just dropped the categorical features altogether. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.067 seconds) + **Total running time of the script:** ( 0 minutes 4.655 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_categorical.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt index 096c31bcc0b2d..003e55d694dd2 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt @@ -235,7 +235,7 @@ Compare fit times with and without early stopping .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.823 seconds) + **Total running time of the script:** ( 0 minutes 3.945 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt index e86ae83a8b9b7..3e6108b00a386 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt @@ -190,7 +190,7 @@ but is computationally more demanding. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 10.791 seconds) + **Total running time of the script:** ( 0 minutes 10.468 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_oob.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt index 1ea3337a55e39..270217482525b 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt @@ -277,18 +277,18 @@ Measure the models with :func:`mean_squared_error` and
- +
- - - - + + + + @@ -300,32 +300,32 @@ Measure the models with :func:`mean_squared_error` and - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + +
 pbl=0.05pbl=0.50pbl=0.95MSEpbl=0.05pbl=0.50pbl=0.95MSE
model
mse0.7154130.7154130.7154137.750348mse0.7154130.7154130.7154137.750348
q 0.050.1271281.2534452.37976318.933253q 0.050.1271281.2534452.37976318.933253
q 0.500.3054380.6228110.9401849.827917q 0.500.3054380.6228110.9401849.827917
q 0.953.9099092.1459570.38200528.667219q 0.953.9099092.1459570.38200528.667219
@@ -377,18 +377,18 @@ We then do the same on the test set.
- +
- - - - + + + + @@ -400,32 +400,32 @@ We then do the same on the test set. - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + +
 pbl=0.05pbl=0.50pbl=0.95MSEpbl=0.05pbl=0.50pbl=0.95MSE
model
mse0.9172810.7674980.6177156.692901mse0.9172810.7674980.6177156.692901
q 0.050.1442041.2459612.34771715.648026q 0.050.1442041.2459612.34771715.648026
q 0.500.4120210.6077520.8034835.874771q 0.500.4120210.6077520.8034835.874771
q 0.954.3543942.3554450.35649734.852774q 0.954.3543942.3554450.35649734.852774
@@ -729,7 +729,7 @@ better assess the variability of those estimates. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 11.109 seconds) + **Total running time of the script:** ( 0 minutes 10.839 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_quantile.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt index 5678b7cef48b7..c316f2f005dd5 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt @@ -266,7 +266,7 @@ show that they overlap with 0. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.422 seconds) + **Total running time of the script:** ( 0 minutes 1.361 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_regression.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt index 43ddb0e780c0e..8fa2a63b4d987 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt @@ -126,7 +126,7 @@ analogous to the random splits in Random Forests .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 9.401 seconds) + **Total running time of the script:** ( 0 minutes 9.590 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_regularization.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt b/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt index 0f3150fa9160a..51aac818c3b74 100644 --- a/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt @@ -227,7 +227,7 @@ values close to `1` and are more likely to be inliers. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.547 seconds) + **Total running time of the script:** ( 0 minutes 0.509 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_isolation_forest.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt b/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt index e8ccfa6eb037d..ef2ce215ca66c 100644 --- a/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt @@ -213,7 +213,7 @@ monotonic constraints by passing a dictionary: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.755 seconds) + **Total running time of the script:** ( 0 minutes 0.686 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_monotonic_constraints.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt b/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt index 3c579d8607317..2ccf43cd5bae8 100644 --- a/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt @@ -143,7 +143,7 @@ original data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.391 seconds) + **Total running time of the script:** ( 0 minutes 0.421 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_random_forest_embedding.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt b/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt index 8c391dd3a330e..52e2cd5c3aee1 100644 --- a/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt @@ -132,7 +132,7 @@ x and y coordinate as output. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.570 seconds) + **Total running time of the script:** ( 0 minutes 0.617 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_random_forest_regression_multioutput.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt b/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt index 1198af935f12b..ca534c4731960 100644 --- a/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt @@ -220,19 +220,19 @@ We will first design the pipeline required for the tree-based models. 
ColumnTransformer(transformers=[('simpleimputer',
                                      SimpleImputer(add_indicator=True),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b44aab20>),
+                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1d04710d0>),
                                     ('ordinalencoder',
                                      OrdinalEncoder(encoded_missing_value=-2,
                                                     handle_unknown='use_encoded_value',
                                                     unknown_value=-1),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b6096370>)])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
+ <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1d04713a0>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff1d04710d0>
StandardScaler()
SimpleImputer(add_indicator=True)
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff1d04713a0>
OneHotEncoder(handle_unknown='ignore')
LassoCV()


@@ -381,31 +381,31 @@ Stack of predictors on a single data set 
Pipeline(steps=[('columntransformer',
                      ColumnTransformer(transformers=[('simpleimputer',
                                                       SimpleImputer(add_indicator=True),
-                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b44aab20>),
+                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1d04710d0>),
                                                      ('ordinalencoder',
                                                       OrdinalEncoder(encoded_missing_value=-2,
                                                                      handle_unknown='use_encoded_value',
                                                                      unknown_value=-1),
-                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7f57b6096370>)])),
+                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7ff1d04713a0>)])),
                     ('randomforestregressor',
                      RandomForestRegressor(random_state=42))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.


@@ -445,7 +445,7 @@ Plot Precision-Recall curve for each class and iso-f1 curves .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.458 seconds) + **Total running time of the script:** ( 0 minutes 0.500 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_precision_recall.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt b/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt index 1a3bf24ae07ed..6ee7f96383290 100644 --- a/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt @@ -46,7 +46,7 @@ simultaneously using grid search, but pick only the ones deemed most important. .. code-block:: none - RandomizedSearchCV took 1.29 seconds for 15 candidates parameter settings. + RandomizedSearchCV took 1.38 seconds for 15 candidates parameter settings. Model with rank: 1 Mean validation score: 0.993 (std: 0.007) Parameters: {'alpha': 0.01761326452827255, 'average': False, 'l1_ratio': 0.14458295175799263} @@ -59,7 +59,7 @@ simultaneously using grid search, but pick only the ones deemed most important. Mean validation score: 0.980 (std: 0.011) Parameters: {'alpha': 0.01672701940764589, 'average': True, 'l1_ratio': 0.5720620992012775} - GridSearchCV took 3.60 seconds for 60 candidate parameter settings. + GridSearchCV took 3.71 seconds for 60 candidate parameter settings. Model with rank: 1 Mean validation score: 0.996 (std: 0.005) Parameters: {'alpha': 0.01, 'average': False, 'l1_ratio': 0.6666666666666666} @@ -157,7 +157,7 @@ simultaneously using grid search, but pick only the ones deemed most important. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.904 seconds) + **Total running time of the script:** ( 0 minutes 5.105 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_randomized_search.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt b/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt index 0fe08b000ae63..10cca7881198c 100644 --- a/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt @@ -799,7 +799,7 @@ performance on all the classes is deemed equally important. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.028 seconds) + **Total running time of the script:** ( 0 minutes 0.928 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_roc.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt b/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt index ab6b754c0eb63..b8c7623e19a37 100644 --- a/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt @@ -196,7 +196,7 @@ frequent class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.203 seconds) + **Total running time of the script:** ( 0 minutes 0.210 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_roc_crossval.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt b/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt index 5fa8baf16ffb4..a1e6d9af6bf25 100644 --- a/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt @@ -168,7 +168,7 @@ We now plot heatmaps for both search estimators. .. image-sg:: /auto_examples/model_selection/images/sphx_glr_plot_successive_halving_heatmap_001.png - :alt: Successive Halving time = 1.630s, GridSearch time = 6.375s + :alt: Successive Halving time = 1.538s, GridSearch time = 6.850s :srcset: /auto_examples/model_selection/images/sphx_glr_plot_successive_halving_heatmap_001.png :class: sphx-glr-single-img @@ -192,7 +192,7 @@ class is able to find parameter combinations that are just as accurate as .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.189 seconds) + **Total running time of the script:** ( 0 minutes 8.586 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_successive_halving_heatmap.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt b/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt index acb9f52d4f4f4..c4a60f38b8483 100644 --- a/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt @@ -87,24 +87,24 @@ We first define the parameter space and train a 
HalvingRandomSearchCV(estimator=RandomForestClassifier(n_estimators=20,
-                                                           random_state=RandomState(MT19937) at 0x7F57B653CB40),
+                                                           random_state=RandomState(MT19937) at 0x7FF1D0BD9340),
                           factor=2,
                           param_distributions={'bootstrap': [True, False],
                                                'criterion': ['gini', 'entropy'],
                                                'max_depth': [3, None],
-                                               'max_features': <scipy.stats._distn_infrastructure.rv_discrete_frozen object at 0x7f57b56a98e0>,
-                                               'min_samples_split': <scipy.stats._distn_infrastructure.rv_discrete_frozen object at 0x7f579c7f8280>},
-                          random_state=RandomState(MT19937) at 0x7F57B653CB40)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
RandomForestClassifier(n_estimators=20,
+                           random_state=RandomState(MT19937) at 0x7FF1D0BD9340)
RandomForestClassifier(n_estimators=20,
+                           random_state=RandomState(MT19937) at 0x7FF1D0BD9340)


@@ -172,7 +172,7 @@ last iteration. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.079 seconds) + **Total running time of the script:** ( 0 minutes 6.182 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_successive_halving_iterations.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt b/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt index a27c9d97c1054..3f9934a633260 100644 --- a/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt @@ -168,7 +168,7 @@ Plot results functions .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.461 seconds) + **Total running time of the script:** ( 0 minutes 7.918 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_train_error_vs_test_error.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt b/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt index 4a54cbb50e00c..015eae074f3db 100644 --- a/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt @@ -114,7 +114,7 @@ training data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.227 seconds) + **Total running time of the script:** ( 0 minutes 0.234 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_underfitting_overfitting.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt b/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt index 9b1523cc1de62..5caa7e6e9cd85 100644 --- a/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt @@ -75,7 +75,7 @@ is good but the validation score is poor. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.762 seconds) + **Total running time of the script:** ( 0 minutes 0.558 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_validation_curve.py: diff --git a/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt b/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt index d6cdb2d0d9917..2c83dfc1d69b2 100644 --- a/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt @@ -6,50 +6,50 @@ Computation times ================= -**02:20.669** total execution time for **auto_examples_model_selection** files: +**02:23.292** total execution time for **auto_examples_model_selection** files: +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py` (``plot_grid_search_text_feature_extraction.py``) | 00:33.935 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py` (``plot_grid_search_text_feature_extraction.py``) | 00:33.882 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``plot_learning_curve.py``) | 00:31.619 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``plot_learning_curve.py``) | 00:29.841 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``plot_permutation_tests_for_classification.py``) | 00:12.326 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``plot_permutation_tests_for_classification.py``) | 00:13.676 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``plot_grid_search_digits.py``) | 00:11.332 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``plot_grid_search_digits.py``) | 00:11.210 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``plot_multi_metric_evaluation.py``) | 00:08.312 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``plot_successive_halving_heatmap.py``) | 00:08.586 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``plot_successive_halving_heatmap.py``) | 00:08.189 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``plot_multi_metric_evaluation.py``) | 00:08.397 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``plot_nested_cross_validation_iris.py``) | 00:07.560 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``plot_train_error_vs_test_error.py``) | 00:07.918 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``plot_train_error_vs_test_error.py``) | 00:06.461 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``plot_nested_cross_validation_iris.py``) | 00:07.174 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``plot_successive_halving_iterations.py``) | 00:05.079 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``plot_successive_halving_iterations.py``) | 00:06.182 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``plot_randomized_search.py``) | 00:04.904 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``plot_randomized_search.py``) | 00:05.105 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``plot_likelihood_ratios.py``) | 00:03.069 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``plot_likelihood_ratios.py``) | 00:03.357 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py` (``plot_grid_search_stats.py``) | 00:01.951 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py` (``plot_grid_search_stats.py``) | 00:02.104 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py` (``plot_grid_search_refit_callable.py``) | 00:01.412 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py` (``plot_grid_search_refit_callable.py``) | 00:01.479 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py` (``plot_cv_indices.py``) | 00:01.207 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py` (``plot_cv_indices.py``) | 00:01.314 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_roc.py` (``plot_roc.py``) | 00:01.028 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_roc.py` (``plot_roc.py``) | 00:00.928 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py` (``plot_validation_curve.py``) | 00:00.762 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py` (``plot_validation_curve.py``) | 00:00.558 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py` (``plot_precision_recall.py``) | 00:00.458 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py` (``plot_precision_recall.py``) | 00:00.500 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_det.py` (``plot_det.py``) | 00:00.241 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_det.py` (``plot_det.py``) | 00:00.238 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``plot_underfitting_overfitting.py``) | 00:00.227 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``plot_underfitting_overfitting.py``) | 00:00.234 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py` (``plot_roc_crossval.py``) | 00:00.203 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py` (``plot_confusion_matrix.py``) | 00:00.212 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py` (``plot_confusion_matrix.py``) | 00:00.202 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py` (``plot_roc_crossval.py``) | 00:00.210 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py` (``plot_cv_predict.py``) | 00:00.190 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py` (``plot_cv_predict.py``) | 00:00.188 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt b/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt index 1848dfc84a585..639bbb7e4a6ea 100644 --- a/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt +++ b/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt @@ -148,7 +148,7 @@ with randomly ordered chains). .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.665 seconds) + **Total running time of the script:** ( 0 minutes 2.698 seconds) .. _sphx_glr_download_auto_examples_multioutput_plot_classifier_chain_yeast.py: diff --git a/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt b/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt index 48467de79081e..27af4b1abdedd 100644 --- a/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt @@ -6,8 +6,8 @@ Computation times ================= -**00:02.665** total execution time for **auto_examples_multioutput** files: +**00:02.698** total execution time for **auto_examples_multioutput** files: +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``plot_classifier_chain_yeast.py``) | 00:02.665 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``plot_classifier_chain_yeast.py``) | 00:02.698 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt b/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt index 482c72d38fc3c..156f765b7d543 100644 --- a/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt @@ -105,7 +105,7 @@ larger, or when the grid of parameter to search is large. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.190 seconds) + **Total running time of the script:** ( 0 minutes 1.143 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_caching_nearest_neighbors.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt b/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt index c7df3380e234e..4c397adcb9c82 100644 --- a/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt @@ -110,7 +110,7 @@ It will plot the decision boundaries for each class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.558 seconds) + **Total running time of the script:** ( 0 minutes 0.581 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_classification.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt b/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt index 7e6fb4fcabafe..94874bd756b6d 100644 --- a/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt @@ -109,7 +109,7 @@ of the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.800 seconds) + **Total running time of the script:** ( 0 minutes 4.977 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_digits_kde_sampling.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt b/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt index dad1f1160d211..afd4d768454a6 100644 --- a/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt @@ -211,7 +211,7 @@ as well. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.676 seconds) + **Total running time of the script:** ( 0 minutes 0.733 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_kde_1d.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt b/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt index 5e167041585af..d1f3253594ef9 100644 --- a/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt @@ -123,7 +123,7 @@ n_neighbors=20 appears to work well in general. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.714 seconds) + **Total running time of the script:** ( 0 minutes 0.680 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_lof_novelty_detection.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt b/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt index beb47a600807e..86185bf6b362c 100644 --- a/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt @@ -150,7 +150,7 @@ Plot results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.103 seconds) + **Total running time of the script:** ( 0 minutes 0.098 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_lof_outlier_detection.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt index 274af1e8749b4..11b2d04e14f4e 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt @@ -143,7 +143,7 @@ training set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.546 seconds) + **Total running time of the script:** ( 0 minutes 0.548 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nca_classification.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt index 7400d8576ec44..47e9fa4760d85 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt @@ -152,7 +152,7 @@ meaningful despite the large reduction in dimension. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.838 seconds) + **Total running time of the script:** ( 0 minutes 1.836 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nca_dim_reduction.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt index 2c1f42badaeb5..c2d759ed32c5b 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt @@ -167,7 +167,7 @@ embedding and find the nearest neighbors. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.175 seconds) + **Total running time of the script:** ( 0 minutes 0.184 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nca_illustration.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt index 4e53b3bc7a561..2a87b887c5147 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt @@ -105,7 +105,7 @@ It will plot the decision boundaries for each class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.179 seconds) + **Total running time of the script:** ( 0 minutes 0.201 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nearest_centroid.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt b/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt index a63c2658ad943..4fcd78d61580c 100644 --- a/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt @@ -112,7 +112,7 @@ Fit regression model .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.210 seconds) + **Total running time of the script:** ( 0 minutes 0.201 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_regression.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt b/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt index c9bff6138861d..e932b11fd1216 100644 --- a/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt @@ -201,7 +201,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.512 seconds) + **Total running time of the script:** ( 0 minutes 3.693 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_species_kde.py: diff --git a/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt b/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt index 73d36b01db847..c2440f1ca1073 100644 --- a/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt @@ -6,32 +6,32 @@ Computation times ================= -**00:14.499** total execution time for **auto_examples_neighbors** files: +**00:14.875** total execution time for **auto_examples_neighbors** files: +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``plot_digits_kde_sampling.py``) | 00:04.800 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``plot_digits_kde_sampling.py``) | 00:04.977 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``plot_species_kde.py``) | 00:03.512 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``plot_species_kde.py``) | 00:03.693 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``plot_nca_dim_reduction.py``) | 00:01.838 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``plot_nca_dim_reduction.py``) | 00:01.836 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py` (``plot_caching_nearest_neighbors.py``) | 00:01.190 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py` (``plot_caching_nearest_neighbors.py``) | 00:01.143 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py` (``plot_lof_novelty_detection.py``) | 00:00.714 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_kde_1d.py` (``plot_kde_1d.py``) | 00:00.733 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_kde_1d.py` (``plot_kde_1d.py``) | 00:00.676 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py` (``plot_lof_novelty_detection.py``) | 00:00.680 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_classification.py` (``plot_classification.py``) | 00:00.558 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_classification.py` (``plot_classification.py``) | 00:00.581 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_classification.py` (``plot_nca_classification.py``) | 00:00.546 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_classification.py` (``plot_nca_classification.py``) | 00:00.548 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``plot_regression.py``) | 00:00.210 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nearest_centroid.py` (``plot_nearest_centroid.py``) | 00:00.201 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nearest_centroid.py` (``plot_nearest_centroid.py``) | 00:00.179 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``plot_regression.py``) | 00:00.201 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_illustration.py` (``plot_nca_illustration.py``) | 00:00.175 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_illustration.py` (``plot_nca_illustration.py``) | 00:00.184 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_outlier_detection.py` (``plot_lof_outlier_detection.py``) | 00:00.103 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_outlier_detection.py` (``plot_lof_outlier_detection.py``) | 00:00.098 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_neighbors_approximate_nearest_neighbors.py` (``approximate_nearest_neighbors.py``) | 00:00.000 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt index c6cb2fda6bfdd..b54337fbec8ec 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt @@ -182,7 +182,7 @@ decision boundary. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.152 seconds) + **Total running time of the script:** ( 0 minutes 2.173 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_mlp_alpha.py: diff --git a/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt index 1e7126e70c401..9201eac728ced 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt @@ -277,7 +277,7 @@ Note that those results can be highly dependent on the value of .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.149 seconds) + **Total running time of the script:** ( 0 minutes 3.275 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_mlp_training_curves.py: diff --git a/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt index baa34959f676a..1668b225c3d3b 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt @@ -128,7 +128,7 @@ to build this documentation on a regular basis. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.827 seconds) + **Total running time of the script:** ( 0 minutes 6.468 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_mnist_filters.py: diff --git a/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt index 907d5a558a9dc..a2d1b3378ef5d 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt @@ -174,16 +174,16 @@ reproduced here because of runtime constraints. .. code-block:: none - [BernoulliRBM] Iteration 1, pseudo-likelihood = -25.57, time = 0.09s - [BernoulliRBM] Iteration 2, pseudo-likelihood = -23.68, time = 0.14s - [BernoulliRBM] Iteration 3, pseudo-likelihood = -22.88, time = 0.14s - [BernoulliRBM] Iteration 4, pseudo-likelihood = -21.91, time = 0.13s - [BernoulliRBM] Iteration 5, pseudo-likelihood = -21.79, time = 0.13s - [BernoulliRBM] Iteration 6, pseudo-likelihood = -20.96, time = 0.14s - [BernoulliRBM] Iteration 7, pseudo-likelihood = -20.88, time = 0.14s - [BernoulliRBM] Iteration 8, pseudo-likelihood = -20.50, time = 0.14s - [BernoulliRBM] Iteration 9, pseudo-likelihood = -20.34, time = 0.14s - [BernoulliRBM] Iteration 10, pseudo-likelihood = -20.21, time = 0.14s + [BernoulliRBM] Iteration 1, pseudo-likelihood = -25.57, time = 0.10s + [BernoulliRBM] Iteration 2, pseudo-likelihood = -23.68, time = 0.15s + [BernoulliRBM] Iteration 3, pseudo-likelihood = -22.88, time = 0.15s + [BernoulliRBM] Iteration 4, pseudo-likelihood = -21.91, time = 0.14s + [BernoulliRBM] Iteration 5, pseudo-likelihood = -21.79, time = 0.14s + [BernoulliRBM] Iteration 6, pseudo-likelihood = -20.96, time = 0.13s + [BernoulliRBM] Iteration 7, pseudo-likelihood = -20.88, time = 0.13s + [BernoulliRBM] Iteration 8, pseudo-likelihood = -20.50, time = 0.13s + [BernoulliRBM] Iteration 9, pseudo-likelihood = -20.34, time = 0.13s + [BernoulliRBM] Iteration 10, pseudo-likelihood = -20.21, time = 0.13s .. raw:: html @@ -326,7 +326,7 @@ Plotting .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.134 seconds) + **Total running time of the script:** ( 0 minutes 5.136 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_rbm_logistic_classification.py: diff --git a/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt b/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt index d39d17c8e5b84..4be072a5eeea5 100644 --- a/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:17.261** total execution time for **auto_examples_neural_networks** files: +**00:17.052** total execution time for **auto_examples_neural_networks** files: +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``plot_mnist_filters.py``) | 00:06.827 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``plot_mnist_filters.py``) | 00:06.468 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``plot_rbm_logistic_classification.py``) | 00:05.134 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``plot_rbm_logistic_classification.py``) | 00:05.136 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``plot_mlp_training_curves.py``) | 00:03.149 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``plot_mlp_training_curves.py``) | 00:03.275 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``plot_mlp_alpha.py``) | 00:02.152 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``plot_mlp_alpha.py``) | 00:02.173 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt index eed598db0fccc..aeb79d56577ea 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt @@ -617,7 +617,7 @@ case if some original features had a mix of positive and negative values. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 9.353 seconds) + **Total running time of the script:** ( 0 minutes 9.422 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_all_scaling.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt index fb5ea9d6309df..794682c2bbc33 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt @@ -126,7 +126,7 @@ up the data anywhere. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.207 seconds) + **Total running time of the script:** ( 0 minutes 0.249 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_discretization.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt index 3a7851e17061e..460cd616ddc9b 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt @@ -302,7 +302,7 @@ set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.790 seconds) + **Total running time of the script:** ( 0 minutes 3.631 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_discretization_classification.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt index aeb2a3e318eb1..62033df535076 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt @@ -171,7 +171,7 @@ The plot shows the regions where the discretized encoding is constant. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.735 seconds) + **Total running time of the script:** ( 0 minutes 0.730 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_discretization_strategies.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt index 6122d65631199..b7f523b3eefa8 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt @@ -180,7 +180,7 @@ is prone to overfitting. The use of the power transform is then recommended. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.050 seconds) + **Total running time of the script:** ( 0 minutes 2.129 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_map_data_to_normal.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt index f941f9591612a..c166826ce2d18 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt @@ -405,7 +405,7 @@ the scaling step. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.656 seconds) + **Total running time of the script:** ( 0 minutes 1.554 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_scaling_importance.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt index c38be06e40874..c944dfa4f7023 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt @@ -517,7 +517,7 @@ can be explained as follows: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 26.209 seconds) + **Total running time of the script:** ( 0 minutes 24.985 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_target_encoder.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt index d12d393fcb19e..bfd052bd9e623 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt @@ -353,7 +353,7 @@ pipeline is fitted, the pipeline will correctly call .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.317 seconds) + **Total running time of the script:** ( 0 minutes 0.320 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_target_encoder_cross_val.py: diff --git a/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt b/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt index daccbc02d99c9..a3b66201aff5c 100644 --- a/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:44.318** total execution time for **auto_examples_preprocessing** files: +**00:43.019** total execution time for **auto_examples_preprocessing** files: +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``plot_target_encoder.py``) | 00:26.209 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``plot_target_encoder.py``) | 00:24.985 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``plot_all_scaling.py``) | 00:09.353 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``plot_all_scaling.py``) | 00:09.422 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``plot_discretization_classification.py``) | 00:03.790 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``plot_discretization_classification.py``) | 00:03.631 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``plot_map_data_to_normal.py``) | 00:02.050 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``plot_map_data_to_normal.py``) | 00:02.129 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_scaling_importance.py` (``plot_scaling_importance.py``) | 00:01.656 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_scaling_importance.py` (``plot_scaling_importance.py``) | 00:01.554 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_strategies.py` (``plot_discretization_strategies.py``) | 00:00.735 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_strategies.py` (``plot_discretization_strategies.py``) | 00:00.730 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder_cross_val.py` (``plot_target_encoder_cross_val.py``) | 00:00.317 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder_cross_val.py` (``plot_target_encoder_cross_val.py``) | 00:00.320 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``plot_discretization.py``) | 00:00.207 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``plot_discretization.py``) | 00:00.249 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt index 54eec8007c6ce..21a650504f900 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt @@ -501,7 +501,7 @@ Read more in the :ref:`User Guide `. .. code-block:: none - 0.9925540598290598 + 0.9979999999999999 @@ -509,7 +509,7 @@ Read more in the :ref:`User Guide `. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.458 seconds) + **Total running time of the script:** ( 0 minutes 1.381 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_0_22_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt index 69b2153fbdf74..e731cddff9b34 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt @@ -217,7 +217,7 @@ please refer to our :ref:`parallelism` notes. .. code-block:: none - 0.6875046614372228 + 0.8267561564106108 @@ -341,7 +341,7 @@ The two linear regressors :class:`~sklearn.linear_model.Lasso` and .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.658 seconds) + **Total running time of the script:** ( 0 minutes 0.693 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_0_23_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt index e451cd3547834..1934fdd37ecb8 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt @@ -270,7 +270,7 @@ models, but uses much less memory than .. code-block:: none - 0.732 + 0.736 @@ -417,7 +417,7 @@ to improve the understanding of machine learning practices: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 13.794 seconds) + **Total running time of the script:** ( 0 minutes 13.697 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_0_24_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt index 187d9641eea69..ca37178c20327 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt @@ -345,7 +345,7 @@ documentation. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.016 seconds) + **Total running time of the script:** ( 0 minutes 0.017 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_0_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt index a52831c3d1a26..09d5fdb6ff8fa 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt @@ -460,7 +460,7 @@ hierarchical structure to the clustering. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.036 seconds) + **Total running time of the script:** ( 0 minutes 1.272 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_1_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt index b5560ffbd9387..526e1a50c6696 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt @@ -499,7 +499,7 @@ A detailed list of the impacted estimators can be found in the .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.378 seconds) + **Total running time of the script:** ( 0 minutes 5.299 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_2_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt b/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt index c947080be2515..ada8f9ae42caa 100644 --- a/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt @@ -6,18 +6,18 @@ Computation times ================= -**00:22.340** total execution time for **auto_examples_release_highlights** files: +**00:22.361** total execution time for **auto_examples_release_highlights** files: +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py` (``plot_release_highlights_0_24_0.py``) | 00:13.794 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py` (``plot_release_highlights_0_24_0.py``) | 00:13.697 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``plot_release_highlights_1_2_0.py``) | 00:05.378 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``plot_release_highlights_1_2_0.py``) | 00:05.299 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py` (``plot_release_highlights_0_22_0.py``) | 00:01.458 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py` (``plot_release_highlights_0_22_0.py``) | 00:01.381 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py` (``plot_release_highlights_1_1_0.py``) | 00:01.036 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py` (``plot_release_highlights_1_1_0.py``) | 00:01.272 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_23_0.py` (``plot_release_highlights_0_23_0.py``) | 00:00.658 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_23_0.py` (``plot_release_highlights_0_23_0.py``) | 00:00.693 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py` (``plot_release_highlights_1_0_0.py``) | 00:00.016 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py` (``plot_release_highlights_1_0_0.py``) | 00:00.017 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt index fe7684bf326bc..960783d7d2ec5 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt @@ -226,7 +226,7 @@ Confusion matrix .. code-block:: none - + @@ -308,7 +308,7 @@ Plot .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.379 seconds) + **Total running time of the script:** ( 0 minutes 0.393 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_label_propagation_digits.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt index b3568cac02710..b0167f38ff5ce 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt @@ -319,7 +319,7 @@ model with their true labels. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.677 seconds) + **Total running time of the script:** ( 0 minutes 0.635 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt index 3dc32560f1278..f0e37f5f59918 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt @@ -203,7 +203,7 @@ when the label was unknown. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.171 seconds) + **Total running time of the script:** ( 0 minutes 0.174 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_label_propagation_structure.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt index b6efc1110c71e..7a2f06940db69 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt @@ -154,7 +154,7 @@ around 0.7. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.023 seconds) + **Total running time of the script:** ( 0 minutes 5.884 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_self_training_varying_threshold.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt index 86af30c9209d4..e6308669b9e70 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt @@ -189,7 +189,7 @@ loader or setting them to `None` to get all 20 of them. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.770 seconds) + **Total running time of the script:** ( 0 minutes 7.545 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt index 82fe12bb005f8..9525d58968172 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt @@ -124,7 +124,7 @@ identical to training the SVC on 100% of the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.021 seconds) + **Total running time of the script:** ( 0 minutes 1.150 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py: diff --git a/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt b/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt index 1f3c9f5097ae3..0b92188b80c1a 100644 --- a/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt @@ -6,18 +6,18 @@ Computation times ================= -**00:16.041** total execution time for **auto_examples_semi_supervised** files: +**00:15.782** total execution time for **auto_examples_semi_supervised** files: +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``plot_semi_supervised_newsgroups.py``) | 00:07.770 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``plot_semi_supervised_newsgroups.py``) | 00:07.545 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``plot_self_training_varying_threshold.py``) | 00:06.023 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``plot_self_training_varying_threshold.py``) | 00:05.884 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py` (``plot_semi_supervised_versus_svm_iris.py``) | 00:01.021 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py` (``plot_semi_supervised_versus_svm_iris.py``) | 00:01.150 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py` (``plot_label_propagation_digits_active_learning.py``) | 00:00.677 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py` (``plot_label_propagation_digits_active_learning.py``) | 00:00.635 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits.py` (``plot_label_propagation_digits.py``) | 00:00.379 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits.py` (``plot_label_propagation_digits.py``) | 00:00.393 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_structure.py` (``plot_label_propagation_structure.py``) | 00:00.171 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_structure.py` (``plot_label_propagation_structure.py``) | 00:00.174 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt b/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt index 6f02140457167..43e892c46b07c 100644 --- a/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt @@ -92,7 +92,7 @@ plot the decision surface and the support vectors. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.102 seconds) + **Total running time of the script:** ( 0 minutes 0.140 seconds) .. _sphx_glr_download_auto_examples_svm_plot_custom_kernel.py: diff --git a/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt b/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt index 15b66173e4ffc..62ff3e89f879b 100644 --- a/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt @@ -124,7 +124,7 @@ kernel and its parameters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.260 seconds) + **Total running time of the script:** ( 0 minutes 0.240 seconds) .. _sphx_glr_download_auto_examples_svm_plot_iris_svc.py: diff --git a/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt b/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt index cb8ee6052f7d5..e65df9af2c4c3 100644 --- a/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt @@ -93,7 +93,7 @@ vectors in LinearSVC. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.189 seconds) + **Total running time of the script:** ( 0 minutes 0.187 seconds) .. _sphx_glr_download_auto_examples_svm_plot_linearsvc_support_vectors.py: diff --git a/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt b/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt index 28c8ebc72e4ae..03fbd6b72563d 100644 --- a/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt @@ -106,7 +106,7 @@ classifying new data as similar or different to the training set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.410 seconds) + **Total running time of the script:** ( 0 minutes 0.411 seconds) .. _sphx_glr_download_auto_examples_svm_plot_oneclass.py: diff --git a/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt b/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt index 4c9ff1642102f..b88bfac76d004 100644 --- a/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt @@ -356,7 +356,7 @@ the same color. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.563 seconds) + **Total running time of the script:** ( 0 minutes 5.566 seconds) .. _sphx_glr_download_auto_examples_svm_plot_rbf_parameters.py: diff --git a/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt b/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt index cd70e87023370..65bc14608c13d 100644 --- a/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt @@ -83,7 +83,7 @@ linear kernel. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.076 seconds) + **Total running time of the script:** ( 0 minutes 0.083 seconds) .. _sphx_glr_download_auto_examples_svm_plot_separating_hyperplane.py: diff --git a/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt b/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt index 8dfc11660f3b8..cb5beddf0ada0 100644 --- a/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt @@ -123,7 +123,7 @@ unbalanced classes. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.199 seconds) + **Total running time of the script:** ( 0 minutes 0.202 seconds) .. _sphx_glr_download_auto_examples_svm_plot_separating_hyperplane_unbalanced.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt index 3781b2210425c..5b3b7577390a7 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt @@ -130,7 +130,7 @@ Plot the cross-validation score as a function of percentile of features .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.344 seconds) + **Total running time of the script:** ( 0 minutes 0.375 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_anova.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt index a7476d3c74264..a2cfaaa7c0820 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt @@ -146,7 +146,7 @@ data-points are not linearly separable. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.204 seconds) + **Total running time of the script:** ( 0 minutes 0.223 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_kernels.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt index 2c0a6ecad0e23..85f61fa473b0d 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt @@ -156,7 +156,7 @@ the margins to be calculated using all the data in the area. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.091 seconds) + **Total running time of the script:** ( 0 minutes 0.107 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_margin.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt index 00459ad910e36..70211ccb6652e 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt @@ -80,7 +80,7 @@ The color map illustrates the decision function learned by the SVC. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.586 seconds) + **Total running time of the script:** ( 0 minutes 1.592 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_nonlinear.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt index 38b050f3950a5..f985023cf699b 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt @@ -150,7 +150,7 @@ Look at the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.814 seconds) + **Total running time of the script:** ( 0 minutes 2.780 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_regression.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt index dae94205aa3e4..1591270f2e876 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt @@ -309,7 +309,7 @@ not scaled. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.113 seconds) + **Total running time of the script:** ( 0 minutes 7.881 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_scale_c.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt index c982a718bb82b..2155ca1eab3a7 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt @@ -101,7 +101,7 @@ create a non-convex decision boundary in that area. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.993 seconds) + **Total running time of the script:** ( 0 minutes 1.153 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_tie_breaking.py: diff --git a/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt b/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt index 568efcf39854c..19f54440baa56 100644 --- a/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt @@ -107,7 +107,7 @@ deformation of the decision boundary very visible. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.503 seconds) + **Total running time of the script:** ( 0 minutes 0.567 seconds) .. _sphx_glr_download_auto_examples_svm_plot_weighted_samples.py: diff --git a/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt b/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt index bedcc223a363a..5714a8ad05f0b 100644 --- a/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt @@ -6,36 +6,36 @@ Computation times ================= -**00:20.447** total execution time for **auto_examples_svm** files: +**00:21.506** total execution time for **auto_examples_svm** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``plot_svm_scale_c.py``) | 00:07.113 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``plot_svm_scale_c.py``) | 00:07.881 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``plot_rbf_parameters.py``) | 00:05.563 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``plot_rbf_parameters.py``) | 00:05.566 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` (``plot_svm_regression.py``) | 00:02.814 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` (``plot_svm_regression.py``) | 00:02.780 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py` (``plot_svm_nonlinear.py``) | 00:01.586 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py` (``plot_svm_nonlinear.py``) | 00:01.592 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` (``plot_svm_tie_breaking.py``) | 00:00.993 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` (``plot_svm_tie_breaking.py``) | 00:01.153 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py` (``plot_weighted_samples.py``) | 00:00.503 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py` (``plot_weighted_samples.py``) | 00:00.567 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py` (``plot_oneclass.py``) | 00:00.410 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py` (``plot_oneclass.py``) | 00:00.411 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py` (``plot_svm_anova.py``) | 00:00.344 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py` (``plot_svm_anova.py``) | 00:00.375 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py` (``plot_iris_svc.py``) | 00:00.260 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py` (``plot_iris_svc.py``) | 00:00.240 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py` (``plot_svm_kernels.py``) | 00:00.204 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py` (``plot_svm_kernels.py``) | 00:00.223 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py` (``plot_separating_hyperplane_unbalanced.py``) | 00:00.199 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py` (``plot_separating_hyperplane_unbalanced.py``) | 00:00.202 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` (``plot_linearsvc_support_vectors.py``) | 00:00.189 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` (``plot_linearsvc_support_vectors.py``) | 00:00.187 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py` (``plot_custom_kernel.py``) | 00:00.102 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py` (``plot_custom_kernel.py``) | 00:00.140 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py` (``plot_svm_margin.py``) | 00:00.091 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py` (``plot_svm_margin.py``) | 00:00.107 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py` (``plot_separating_hyperplane.py``) | 00:00.076 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py` (``plot_separating_hyperplane.py``) | 00:00.083 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt b/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt index cc154c40a9e6f..376f5ef5c3b96 100644 --- a/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt +++ b/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt @@ -197,9 +197,9 @@ metadata stripping. 2034 documents - 3.98MB (training set) 1353 documents - 2.87MB (test set) 4 categories - vectorize training done in 0.372s at 10.692MB/s + vectorize training done in 0.395s at 10.077MB/s n_samples: 2034, n_features: 7831 - vectorize testing done in 0.234s at 12.273MB/s + vectorize testing done in 0.246s at 11.678MB/s n_samples: 1353, n_features: 7831 @@ -721,8 +721,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: LogisticRegression(C=5, max_iter=1000) - train time: 0.345s - test time: 0.000638s + train time: 0.319s + test time: 0.000679s accuracy: 0.773 dimensionality: 5316 density: 1.0 @@ -733,8 +733,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: RidgeClassifier(solver='sparse_cg') - train time: 0.0396s - test time: 0.000657s + train time: 0.0393s + test time: 0.000594s accuracy: 0.76 dimensionality: 5316 density: 1.0 @@ -745,8 +745,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: KNeighborsClassifier(n_neighbors=100) - train time: 0.000982s - test time: 6.08s + train time: 0.000816s + test time: 6.24s accuracy: 0.753 ================================================================================ @@ -754,8 +754,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: RandomForestClassifier() - train time: 1.66s - test time: 0.0738s + train time: 1.62s + test time: 0.0749s accuracy: 0.704 ================================================================================ @@ -763,8 +763,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: LinearSVC(C=0.1, dual=False) - train time: 0.0318s - test time: 0.000625s + train time: 0.0323s + test time: 0.000668s accuracy: 0.752 dimensionality: 5316 density: 1.0 @@ -775,8 +775,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: SGDClassifier(early_stopping=True, loss='log_loss', n_iter_no_change=3) - train time: 0.0341s - test time: 0.000623s + train time: 0.0272s + test time: 0.000563s accuracy: 0.762 dimensionality: 5316 density: 1.0 @@ -787,8 +787,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: NearestCentroid() - train time: 0.00311s - test time: 0.00151s + train time: 0.00326s + test time: 0.00153s accuracy: 0.748 ================================================================================ @@ -796,8 +796,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: ComplementNB(alpha=0.1) - train time: 0.00201s - test time: 0.000512s + train time: 0.00205s + test time: 0.00047s accuracy: 0.779 @@ -898,7 +898,7 @@ classification problems. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 12.995 seconds) + **Total running time of the script:** ( 0 minutes 13.287 seconds) .. _sphx_glr_download_auto_examples_text_plot_document_classification_20newsgroups.py: diff --git a/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt b/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt index 4b0c1df1759b2..a0f1f74dc66f3 100644 --- a/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt +++ b/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt @@ -269,7 +269,7 @@ IDF normalization as provided by .. code-block:: none - vectorization done in 0.441 s + vectorization done in 0.437 s n_samples: 3387, n_features: 7929 @@ -391,7 +391,7 @@ best inertia (objective function of k-means) is chosen. .. code-block:: none - clustering done in 0.20 Β± 0.03 s + clustering done in 0.21 Β± 0.04 s Homogeneity: 0.358 Β± 0.007 Completeness: 0.405 Β± 0.005 V-measure: 0.380 Β± 0.005 @@ -450,7 +450,7 @@ the information retrieval and text mining literature. .. code-block:: none - LSA done in 0.440 s + LSA done in 0.374 s Explained variance of the SVD step: 18.4% @@ -529,7 +529,7 @@ clustering evaluation metrics have improved. We repeat the experiment with .. code-block:: none - clustering done in 0.02 Β± 0.01 s + clustering done in 0.02 Β± 0.00 s Homogeneity: 0.348 Β± 0.092 Completeness: 0.376 Β± 0.047 V-measure: 0.358 Β± 0.075 @@ -620,7 +620,7 @@ the hashed vector space. .. code-block:: none - vectorization done in 1.912 s + vectorization done in 1.604 s @@ -680,7 +680,7 @@ hashed-lsa-reduced data: .. code-block:: none - clustering done in 0.02 Β± 0.01 s + clustering done in 0.02 Β± 0.00 s Homogeneity: 0.357 Β± 0.043 Completeness: 0.378 Β± 0.046 V-measure: 0.367 Β± 0.043 @@ -774,7 +774,7 @@ quality compared to the traditional k-means algorithm. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.421 seconds) + **Total running time of the script:** ( 0 minutes 7.984 seconds) .. _sphx_glr_download_auto_examples_text_plot_document_clustering.py: diff --git a/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt b/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt index 898b4e7883901..0c8e28bdac1f2 100644 --- a/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt +++ b/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt @@ -236,7 +236,7 @@ both of them receive dictionaries as input. .. code-block:: none - done in 1.250 s at 5.0 MB/s + done in 1.151 s at 5.4 MB/s Found 47928 unique terms @@ -376,7 +376,7 @@ The default number of features for the .. code-block:: none - done in 0.634 s at 9.8 MB/s + done in 0.606 s at 10.3 MB/s Found 43873 unique tokens @@ -416,7 +416,7 @@ majority of them is inactive. .. code-block:: none - done in 0.662 s at 9.4 MB/s + done in 0.609 s at 10.3 MB/s Found 47668 unique tokens @@ -458,7 +458,7 @@ passing a dictionary with an implied frequency of 1 for each feature name. .. code-block:: none - done in 0.586 s at 10.7 MB/s + done in 0.548 s at 11.4 MB/s Found 43873 unique tokens @@ -546,7 +546,7 @@ is more flexible. In particular it accepts various regex patterns through the .. code-block:: none - done in 0.816 s at 7.7 MB/s + done in 0.755 s at 8.3 MB/s Found 47885 unique terms @@ -592,7 +592,7 @@ preprocessing and tokenization of the .. code-block:: none - done in 0.526 s at 11.9 MB/s + done in 0.518 s at 12.1 MB/s @@ -647,7 +647,7 @@ normalizing and weighting from a .. code-block:: none - done in 0.714 s at 8.7 MB/s + done in 0.757 s at 8.3 MB/s Found 47885 unique terms @@ -709,7 +709,7 @@ compiles a regular expression once and then reuses it for all the documents. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.753 seconds) + **Total running time of the script:** ( 0 minutes 5.500 seconds) .. _sphx_glr_download_auto_examples_text_plot_hashing_vs_dict_vectorizer.py: diff --git a/dev/_sources/auto_examples/text/sg_execution_times.rst.txt b/dev/_sources/auto_examples/text/sg_execution_times.rst.txt index b20994b4962d1..11a7a3beebb8c 100644 --- a/dev/_sources/auto_examples/text/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/text/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:27.168** total execution time for **auto_examples_text** files: +**00:26.771** total execution time for **auto_examples_text** files: +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``plot_document_classification_20newsgroups.py``) | 00:12.995 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``plot_document_classification_20newsgroups.py``) | 00:13.287 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``plot_document_clustering.py``) | 00:08.421 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``plot_document_clustering.py``) | 00:07.984 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``plot_hashing_vs_dict_vectorizer.py``) | 00:05.753 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``plot_hashing_vs_dict_vectorizer.py``) | 00:05.500 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt b/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt index 8c0fdf8257ada..72e021d3a4677 100644 --- a/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt @@ -230,7 +230,7 @@ In this example, setting ``ccp_alpha=0.015`` maximizes the testing accuracy. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.504 seconds) + **Total running time of the script:** ( 0 minutes 0.496 seconds) .. _sphx_glr_download_auto_examples_tree_plot_cost_complexity_pruning.py: diff --git a/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt b/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt index 909e89885c58b..2c6deede4cb68 100644 --- a/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt @@ -184,7 +184,7 @@ together. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.939 seconds) + **Total running time of the script:** ( 0 minutes 0.951 seconds) .. _sphx_glr_download_auto_examples_tree_plot_iris_dtc.py: diff --git a/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt b/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt index 3cce61b5bb21f..a683dc89e1816 100644 --- a/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt @@ -85,7 +85,7 @@ details of the training data and learn from the noise, i.e. they overfit. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.096 seconds) + **Total running time of the script:** ( 0 minutes 0.104 seconds) .. _sphx_glr_download_auto_examples_tree_plot_tree_regression.py: diff --git a/dev/_sources/auto_examples/tree/plot_tree_regression_multioutput.rst.txt b/dev/_sources/auto_examples/tree/plot_tree_regression_multioutput.rst.txt index c2e490d984c17..1d5c9d957a8e0 100644 --- a/dev/_sources/auto_examples/tree/plot_tree_regression_multioutput.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_tree_regression_multioutput.rst.txt @@ -101,7 +101,7 @@ details of the training data and learn from the noise, i.e. they overfit. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.332 seconds) + **Total running time of the script:** ( 0 minutes 0.266 seconds) .. _sphx_glr_download_auto_examples_tree_plot_tree_regression_multioutput.py: diff --git a/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt b/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt index b8bb6e0070091..7b1e2a6dc8557 100644 --- a/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt @@ -329,7 +329,7 @@ through. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.105 seconds) + **Total running time of the script:** ( 0 minutes 0.113 seconds) .. _sphx_glr_download_auto_examples_tree_plot_unveil_tree_structure.py: diff --git a/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt b/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt index 271ec9b2d207f..70124b1b92f9c 100644 --- a/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:01.975** total execution time for **auto_examples_tree** files: +**00:01.929** total execution time for **auto_examples_tree** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py` (``plot_iris_dtc.py``) | 00:00.939 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py` (``plot_iris_dtc.py``) | 00:00.951 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py` (``plot_cost_complexity_pruning.py``) | 00:00.504 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py` (``plot_cost_complexity_pruning.py``) | 00:00.496 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression_multioutput.py` (``plot_tree_regression_multioutput.py``) | 00:00.332 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression_multioutput.py` (``plot_tree_regression_multioutput.py``) | 00:00.266 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py` (``plot_unveil_tree_structure.py``) | 00:00.105 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py` (``plot_unveil_tree_structure.py``) | 00:00.113 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression.py` (``plot_tree_regression.py``) | 00:00.096 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression.py` (``plot_tree_regression.py``) | 00:00.104 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/modules/sgd.rst.txt b/dev/_sources/modules/sgd.rst.txt index c50ed66868c1b..4b72e7c5f2bac 100644 --- a/dev/_sources/modules/sgd.rst.txt +++ b/dev/_sources/modules/sgd.rst.txt @@ -249,6 +249,10 @@ quadratic in the number of samples. with a large number of training samples (> 10,000) for which the SGD variant can be several orders of magnitude faster. +|details-start| +**Mathematical details** +|details-split| + Its implementation is based on the implementation of the stochastic gradient descent. Indeed, the original optimization problem of the One-Class SVM is given by @@ -282,6 +286,8 @@ This is similar to the optimization problems studied in section being the L2 norm. We just need to add the term :math:`b\nu` in the optimization loop. +|details-end| + As :class:`SGDClassifier` and :class:`SGDRegressor`, :class:`SGDOneClassSVM` supports averaged SGD. Averaging can be enabled by setting ``average=True``. @@ -410,6 +416,10 @@ where :math:`L` is a loss function that measures model (mis)fit and complexity; :math:`\alpha > 0` is a non-negative hyperparameter that controls the regularization strength. +|details-start| +**Loss functions details** +|details-split| + Different choices for :math:`L` entail different classifiers or regressors: - Hinge (soft-margin): equivalent to Support Vector Classification. @@ -431,6 +441,8 @@ Different choices for :math:`L` entail different classifiers or regressors: - Epsilon-Insensitive: (soft-margin) equivalent to Support Vector Regression. :math:`L(y_i, f(x_i)) = \max(0, |y_i - f(x_i)| - \varepsilon)`. +|details-end| + All of the above loss functions can be regarded as an upper bound on the misclassification error (Zero-one loss) as shown in the Figure below. diff --git a/dev/_sources/versions.rst.txt b/dev/_sources/versions.rst.txt index cb9ac97cda297..9d4f02dcd2fee 100644 --- a/dev/_sources/versions.rst.txt +++ b/dev/_sources/versions.rst.txt @@ -5,7 +5,7 @@ Available documentation for Scikit-learn Web-based documentation is available for versions listed below: -* `Scikit-learn 1.4.dev0 (dev) documentation `_ (`ZIP 71.1 MB `_) +* `Scikit-learn 1.4.dev0 (dev) documentation `_ (`ZIP 71.0 MB `_) * `Scikit-learn 1.2.2 (stable) documentation `_ (`ZIP 64.9 MB `_) * `Scikit-learn 1.3.0rc1 documentation `_ (`ZIP 71.1 MB `_) * `Scikit-learn 1.1.3 documentation `_ (`ZIP 62.4 MB `_) diff --git a/dev/auto_examples/applications/plot_cyclical_feature_engineering.html b/dev/auto_examples/applications/plot_cyclical_feature_engineering.html index 18fe01f98a4f2..860b72d916d30 100644 --- a/dev/auto_examples/applications/plot_cyclical_feature_engineering.html +++ b/dev/auto_examples/applications/plot_cyclical_feature_engineering.html @@ -2063,7 +2063,7 @@

Concluding remarksGridSearchCV(TweedieRegressor(power=2), param_grid({"alpha": alphas})) instead of RidgeCV.

-

Total running time of the script: ( 0 minutes 14.377 seconds)

+

Total running time of the script: ( 0 minutes 14.417 seconds)

 
Fitting the classifier to the training set
-done in 6.132s
+done in 6.233s
 Best estimator found by grid search:
 SVC(C=76823.03433306453, class_weight='balanced', gamma=0.003418945823095797)
@@ -309,7 +309,7 @@
plot face recognition
Predicting people's names on the test set
-done in 0.045s
+done in 0.049s
                    precision    recall  f1-score   support
 
      Ariel Sharon       0.75      0.69      0.72        13
@@ -363,7 +363,7 @@
 convolutional neural networks but this family of models is outside of the scope of
 the scikit-learn library. Interested readers should instead try to use pytorch or
 tensorflow to implement such models.

-
Total running time of the script: ( 0 minutes  7.139 seconds)

+
Total running time of the script: ( 0 minutes  7.238 seconds)

 
Test set is 878 documents (108 positive)
-                 SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.915 in 0.68s ( 1422 docs/s)
-          Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.855 in 0.68s ( 1410 docs/s)
-      NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 0.70s ( 1365 docs/s)
-  Passive-Aggressive classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.933 in 0.71s ( 1359 docs/s)
+                 SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.915 in 0.74s ( 1295 docs/s)
+          Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.855 in 0.75s ( 1284 docs/s)
+      NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 0.77s ( 1244 docs/s)
+  Passive-Aggressive classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.933 in 0.78s ( 1239 docs/s)
 
 
-                 SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.938 in 1.86s ( 2100 docs/s)
-          Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.936 in 1.86s ( 2097 docs/s)
-      NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 1.87s ( 2087 docs/s)
-  Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.941 in 1.88s ( 2084 docs/s)
+                 SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.938 in 1.95s ( 2008 docs/s)
+          Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.936 in 1.95s ( 2005 docs/s)
+      NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 1.96s ( 1995 docs/s)
+  Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.941 in 1.96s ( 1992 docs/s)
 
 
-                 SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 3.03s ( 2251 docs/s)
-          Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 3.03s ( 2249 docs/s)
-      NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.900 in 3.04s ( 2242 docs/s)
-  Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.953 in 3.04s ( 2240 docs/s)
+                 SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 3.11s ( 2195 docs/s)
+          Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 3.11s ( 2193 docs/s)
+      NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.900 in 3.12s ( 2187 docs/s)
+  Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.953 in 3.12s ( 2184 docs/s)
 
 
-                 SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.949 in 4.31s ( 2265 docs/s)
-          Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.953 in 4.31s ( 2262 docs/s)
-      NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 4.32s ( 2256 docs/s)
-  Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 4.33s ( 2254 docs/s)
+                 SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.949 in 4.29s ( 2273 docs/s)
+          Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.953 in 4.29s ( 2272 docs/s)
+      NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 4.30s ( 2267 docs/s)
+  Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 4.31s ( 2266 docs/s)
 
 
-                 SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.944 in 5.40s ( 2163 docs/s)
-          Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.956 in 5.40s ( 2162 docs/s)
-      NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.915 in 5.41s ( 2158 docs/s)
-  Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.950 in 5.41s ( 2157 docs/s)
+                 SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.944 in 5.33s ( 2192 docs/s)
+          Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.956 in 5.33s ( 2191 docs/s)
+      NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.915 in 5.34s ( 2187 docs/s)
+  Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.950 in 5.34s ( 2186 docs/s)
 
 
-                 SGD classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.965 in 6.56s ( 2227 docs/s)
-          Perceptron classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.903 in 6.57s ( 2226 docs/s)
-      NB Multinomial classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.924 in 6.58s ( 2223 docs/s)
-  Passive-Aggressive classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.957 in 6.58s ( 2222 docs/s)
+                 SGD classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.965 in 6.58s ( 2222 docs/s)
+          Perceptron classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.903 in 6.58s ( 2221 docs/s)
+      NB Multinomial classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.924 in 6.59s ( 2218 docs/s)
+  Passive-Aggressive classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.957 in 6.60s ( 2217 docs/s)
 
 
-                 SGD classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.957 in 7.61s ( 2281 docs/s)
-          Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.933 in 7.61s ( 2280 docs/s)
-      NB Multinomial classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.932 in 7.62s ( 2278 docs/s)
-  Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.952 in 7.62s ( 2277 docs/s)
+                 SGD classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.957 in 7.88s ( 2202 docs/s)
+          Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.933 in 7.89s ( 2201 docs/s)
+      NB Multinomial classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.932 in 7.90s ( 2198 docs/s)
+  Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.952 in 7.90s ( 2197 docs/s)
@@ -663,7 +663,7 @@

Plot results
  • Prediction Times (1000 instances)
    • -

    Total running time of the script: ( 0 minutes 8.626 seconds)

    +

    Total running time of the script: ( 0 minutes 9.200 seconds)

     -Outlier detection on a real data set (wine recognition)

    Total running time of the script: ( 0 minutes 1.422 seconds)

    +Outlier detection on a real data set (wine recognition)

    Total running time of the script: ( 0 minutes 1.507 seconds)

    -Prediction Throughput for different estimators (100 features)

    Total running time of the script: ( 0 minutes 17.284 seconds)

    +Prediction Throughput for different estimators (100 features)

    Total running time of the script: ( 0 minutes 18.397 seconds)

     -

    Total running time of the script: ( 0 minutes 7.050 seconds)

    +

    Total running time of the script: ( 0 minutes 7.433 seconds)

    -plot stock market

    Total running time of the script: ( 0 minutes 3.437 seconds)

    +plot stock market

    Total running time of the script: ( 0 minutes 8.404 seconds)

    -

    Total running time of the script: ( 0 minutes 9.632 seconds)

    +

    Total running time of the script: ( 0 minutes 10.333 seconds)

    RandomForestRegressor
@@ -438,31 +438,31 @@ 
    Stack of predictors on a single data set
    -Single predictors versus stacked predictors, Random Forest Evaluation in 1.00 seconds, Lasso Evaluation in 0.47 seconds, Gradient Boosting Evaluation in 0.52 seconds, Stacking Regressor Evaluation in 10.90 seconds

    The stacked regressor will combine the strengths of the different regressors. +Single predictors versus stacked predictors, Random Forest Evaluation in 1.21 seconds, Lasso Evaluation in 0.61 seconds, Gradient Boosting Evaluation in 0.61 seconds, Stacking Regressor Evaluation in 13.50 seconds

    The stacked regressor will combine the strengths of the different regressors. However, we also see that training the stacked regressor is much more computationally expensive.

    -

    Total running time of the script: ( 0 minutes 26.415 seconds)

    +

    Total running time of the script: ( 0 minutes 31.966 seconds)

    -

    Total running time of the script: ( 0 minutes 0.590 seconds)

    +

    Total running time of the script: ( 0 minutes 0.581 seconds)

    -

    Total running time of the script: ( 0 minutes 0.363 seconds)

    +

    Total running time of the script: ( 0 minutes 0.355 seconds)

    -Regressor predictions and their average

    Total running time of the script: ( 0 minutes 0.962 seconds)

    +Regressor predictions and their average

    Total running time of the script: ( 0 minutes 1.003 seconds)

    -Mean square error on each fold: coordinate descent (train time: 0.28s) +Mean square error on each fold: coordinate descent (train time: 0.32s)

    Lasso via least angle regressionΒΆ

    Let’s start by making the hyperparameter tuning using @@ -755,7 +755,7 @@

    Lasso via least angle regression_ = plt.title(f"Mean square error on each fold: Lars (train time: {fit_time:.2f}s)") -Mean square error on each fold: Lars (train time: 0.08s)

    +Mean square error on each fold: Lars (train time: 0.10s)

    Summary of cross-validation approachΒΆ

    Both algorithms give roughly the same results.

    @@ -789,7 +789,7 @@

    ConclusionTotal running time of the script: ( 0 minutes 1.072 seconds)

    +

    Total running time of the script: ( 0 minutes 1.187 seconds)

     -

    Total running time of the script: ( 0 minutes 0.101 seconds)

    +

    Total running time of the script: ( 0 minutes 0.165 seconds)

    -

    Total running time of the script: ( 0 minutes 0.506 seconds)

    +

    Total running time of the script: ( 0 minutes 0.567 seconds)

    -

    Total running time of the script: ( 0 minutes 0.235 seconds)

    +

    Total running time of the script: ( 0 minutes 0.292 seconds)

    -Logistic Regression Path

    Total running time of the script: ( 0 minutes 0.134 seconds)

    +Logistic Regression Path

    Total running time of the script: ( 0 minutes 0.132 seconds)