diff --git a/dev/.buildinfo b/dev/.buildinfo index 9d5073f5673e4..eceab71a3da15 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: 5c879347b182b3b40f0311234ff7c36a +config: 2a8960333c83034c100d25731c9a27de tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip index 4d113384000e1..3a035c8ef2cf5 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 93bd2bb51b78b..378783df74bf2 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 96b64df077549..c6b21c8a352b7 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 ec32e3c1411e6..550503feecca7 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..6765bdb309e8a 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 76fefd666f93b..092169ee530e9 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 1a04192236fbc..8fabc50ca4381 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 faad02a826a73..3504b10997f80 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 4372ddba48d91..396b8a865b49f 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 a51129365f73a..cd75a61eb445b 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 7b790052bb33d..189dd37d3b53d 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 2be4cf104df1c..6d27bc879cc02 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 febfe033fce70..328c7c542df5e 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 5e59642724bc5..47c4d246432d3 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 ae0652d9fa3d1..65ad2f06f8315 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 74a3c5327d6f0..9d40f1fc8ae92 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 46af6401a0db1..afae6e57a6073 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 42346c09b9009..24ef600628443 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 39f59b4fe93da..0a871cfa41bfa 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 73f0e5cb08749..0de24101322f3 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_digits_pipe_001.png b/dev/_images/sphx_glr_plot_digits_pipe_001.png index 032131c521128..1c7d1c79934cd 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 c1c3f34d151eb..b53e5939677fc 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 81f8741174c81..0f195e4424922 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 74fba09e4d383..0992b752ed56a 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 31a6b1a320e0f..a773ff203e15c 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 1d5047e8cd64b..71a1ec5aa6554 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 9d91dbe229de8..7b088e819b5ed 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 d4b626ded94cd..693269e685485 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_gradient_boosting_categorical_001.png b/dev/_images/sphx_glr_plot_gradient_boosting_categorical_001.png index 4752da0bd8d7a..4b0c190b5ee26 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 43e0cbd75e931..970d9015ebe96 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 00f0531c2e036..fc04d9000cfdd 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 2179250006931..2e7220a96a487 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 317f391204ebd..d3ec780e950fa 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 f418c2ef2ef47..1d6778bcef1fd 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 3279a97d1421d..25a50c2524d69 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 663d3bc5126b6..78c31d9bd37bd 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_004.png b/dev/_images/sphx_glr_plot_image_denoising_004.png index 9e53df718e1d9..5abf693185320 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_kernel_approximation_001.png b/dev/_images/sphx_glr_plot_kernel_approximation_001.png index 0ef7d06b826c3..2790f7af280c9 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 c5183e222903c..b42c34bb9cb53 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 1717382535ff5..08d7e6f8ab5db 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 6bc5cdab12200..4a3dea744b320 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 fc4b4626f1a31..901f1becc6d57 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 d382a88a70565..32c54bfb2fd4c 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_learning_curve_002.png b/dev/_images/sphx_glr_plot_learning_curve_002.png index b4e127831659a..4f64c4cce5a05 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 993d9f6cf5aad..dc22ebe8087dc 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 3cf1aadd99834..8bbe1ddb32a17 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 da70482a08bfe..ef4a87b11fc4a 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 a3128ff4596b2..0f31fe98a0dbd 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 f1957c19e8423..b06be2dd7dea6 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_004.png b/dev/_images/sphx_glr_plot_lle_digits_004.png index 341fd4b062f8a..61ab3189b6097 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 dbc84f35d7fcc..242b124f6bbda 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 5eb6e9ff21953..0d0378c404e6c 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_007.png b/dev/_images/sphx_glr_plot_lle_digits_007.png index 282a82495ccf3..81617a0f1023d 100644 Binary files a/dev/_images/sphx_glr_plot_lle_digits_007.png and b/dev/_images/sphx_glr_plot_lle_digits_007.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 93a10ff95b6aa..0077ecb5b3986 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 4d4b4e33bd1f8..602f8ac50156d 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 339ff38a81d21..d1eb0f0364f51 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 a3ded9a3c0751..cdf0257643bfe 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 1bf5bdff07709..1da0c3ac307d2 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 855c16c1c47e6..a8d4f0fb089c3 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 e3b746c4b6462..1be5aed2b67da 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 79937bc7548ba..5f899fc3ceba1 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 3e3c1806fb81f..80697b65877da 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 8b30dc4a4ba07..c62966e2edde7 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 a3457d9b08015..c939a7985502b 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 e020135c10834..8651885450f02 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 83f51cc6952e0..08a95672b50d9 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 fca006e7cc932..e6b545626d957 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 733f10ce16ea6..9ed8c49c6eb99 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 3eb1b54ddfb72..6f8a28277789b 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 ecc226c3d33fe..749bb83ea23de 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 118e70c0b6012..23429462eec64 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 5e832ebae915a..b7881906d13ee 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 cec9b45c802a7..4ec4bce0759e2 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 c8076dd2ed718..1fb64562fdffb 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 3c725c83291f9..7e6c4a1cec37c 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 0d49b91b0d10a..3acf4228c8f0f 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 aba6a63a05082..fd8bbad1cc745 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 447f03dfeea73..43f1175465575 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 ed044c82d7748..d3e5d9e23f913 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 75c90af75dd31..8265e26acebb8 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 f0237d8fec57a..0e2f849336061 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 a970899b80019..303c0bc7517cb 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 5853b19ce4db0..0385ecd181f77 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 b6a3b7b2c4ec6..524c91f85acc6 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 32d018ddf5901..8888d88eaa619 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 0c7a65902cfbe..a04e62ec1e986 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 e91b241847940..5ce497255e5a2 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 ea5f663c456f7..745213e74f064 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 7fe2d70afa265..0ff0b4c56d4d2 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 12.607 seconds) + **Total running time of the script:** ( 0 minutes 11.777 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 5ef6838422d82..87d60d02abf05 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 9.947 seconds) + **Total running time of the script:** ( 0 minutes 9.784 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 89be2a4ff8e5e..ac000df8d83d5 100644 --- a/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt @@ -159,7 +159,7 @@ dataset): unsupervised feature extraction / dimensionality reduction .. code-block:: none Extracting the top 150 eigenfaces from 966 faces - done in 0.075s + done in 0.088s Projecting the input data on the eigenfaces orthonormal basis done in 0.008s @@ -199,7 +199,7 @@ Train a SVM classification model .. code-block:: none Fitting the classifier to the training set - done in 5.973s + done in 5.699s 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 0.046s 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 6.912 seconds) + **Total running time of the script:** ( 0 minutes 6.677 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 3ad93e1bffd01..1a01ff2c34117 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: 0.056985s + Complexity: 4948 | Hamming Loss (Misclassification Ratio): 0.2675 | Pred. Time: 0.055810s 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: 0.046402s + Complexity: 1847 | Hamming Loss (Misclassification Ratio): 0.3264 | Pred. Time: 0.041923s 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: 0.038430s + Complexity: 997 | Hamming Loss (Misclassification Ratio): 0.3383 | Pred. Time: 0.034407s 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: 0.034691s + Complexity: 802 | Hamming Loss (Misclassification Ratio): 0.3582 | Pred. Time: 0.031689s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.05) - Complexity: 18 | MSE: 5558.7313 | Pred. Time: 0.000179s + Complexity: 18 | MSE: 5558.7313 | Pred. Time: 0.000184s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.1) - Complexity: 36 | MSE: 5289.8022 | Pred. Time: 0.000260s + Complexity: 36 | MSE: 5289.8022 | Pred. Time: 0.000257s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.2) - Complexity: 72 | MSE: 5193.8353 | Pred. Time: 0.000452s + Complexity: 72 | MSE: 5193.8353 | Pred. Time: 0.000416s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.35) - Complexity: 124 | MSE: 5131.3279 | Pred. Time: 0.000684s + Complexity: 124 | MSE: 5131.3279 | Pred. Time: 0.000635s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05) - Complexity: 178 | MSE: 5149.0779 | Pred. Time: 0.000956s + Complexity: 178 | MSE: 5149.0779 | Pred. Time: 0.000868s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=10) - Complexity: 10 | MSE: 4066.4812 | Pred. Time: 0.000304s + Complexity: 10 | MSE: 4066.4812 | Pred. Time: 0.000157s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=25) - Complexity: 25 | MSE: 3551.1723 | Pred. Time: 0.000184s + Complexity: 25 | MSE: 3551.1723 | Pred. Time: 0.000182s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=50) - Complexity: 50 | MSE: 3445.2171 | Pred. Time: 0.000245s + Complexity: 50 | MSE: 3445.2171 | Pred. Time: 0.000216s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=75) - Complexity: 75 | MSE: 3433.0358 | Pred. Time: 0.000282s + Complexity: 75 | MSE: 3433.0358 | Pred. Time: 0.000253s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2) - Complexity: 100 | MSE: 3456.0602 | Pred. Time: 0.000282s + Complexity: 100 | MSE: 3456.0602 | Pred. Time: 0.000280s @@ -453,7 +453,7 @@ under-fitting or over-fitting. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.269 seconds) + **Total running time of the script:** ( 0 minutes 4.571 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 8869271d74934..5106b7cdb8180 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 @@ -383,34 +383,34 @@ 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 0.61s ( 1568 docs/s) - Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.855 in 0.62s ( 1553 docs/s) - NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 0.64s ( 1500 docs/s) - Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 0.64s ( 1493 docs/s) + SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 0.63s ( 1526 docs/s) + Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.855 in 0.64s ( 1514 docs/s) + NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 0.66s ( 1466 docs/s) + Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 0.66s ( 1460 docs/s) - SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 1.78s ( 2195 docs/s) - Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.936 in 1.78s ( 2191 docs/s) - NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 1.79s ( 2181 docs/s) - Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.941 in 1.80s ( 2177 docs/s) + SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 1.80s ( 2175 docs/s) + Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.936 in 1.80s ( 2171 docs/s) + NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 1.81s ( 2159 docs/s) + Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.941 in 1.81s ( 2156 docs/s) - SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 2.90s ( 2349 docs/s) - Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 2.91s ( 2346 docs/s) - NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.900 in 2.92s ( 2338 docs/s) - Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 2.92s ( 2336 docs/s) + SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 2.92s ( 2338 docs/s) + Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 2.92s ( 2336 docs/s) + NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.900 in 2.93s ( 2329 docs/s) + Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 2.93s ( 2327 docs/s) - SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 4.04s ( 2413 docs/s) - Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 4.05s ( 2411 docs/s) - NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 4.05s ( 2406 docs/s) - Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 4.06s ( 2405 docs/s) + SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 4.03s ( 2419 docs/s) + Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 4.04s ( 2417 docs/s) + NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 4.04s ( 2413 docs/s) + Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 4.05s ( 2411 docs/s) - SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.944 in 5.01s ( 2330 docs/s) - Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 5.01s ( 2329 docs/s) - NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 5.02s ( 2325 docs/s) - Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 5.03s ( 2324 docs/s) + SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.944 in 5.01s ( 2331 docs/s) + Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 5.01s ( 2330 docs/s) + NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 5.02s ( 2327 docs/s) + Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 5.02s ( 2326 docs/s) SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.965 in 6.16s ( 2375 docs/s) @@ -420,9 +420,9 @@ maximum SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 7.19s ( 2413 docs/s) - Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 7.20s ( 2412 docs/s) + Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 7.19s ( 2413 docs/s) NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 7.20s ( 2410 docs/s) - Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 7.21s ( 2409 docs/s) + Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 7.20s ( 2409 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 8.128 seconds) + **Total running time of the script:** ( 0 minutes 8.126 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 7192ca16a995e..b8500dd4ccf24 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 1.277 seconds) + **Total running time of the script:** ( 0 minutes 1.251 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 84760c37cb178..b3f571071beea 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 15.880 seconds) + **Total running time of the script:** ( 0 minutes 15.030 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 f78c609e8f515..b307bda04e1e5 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: 6.46s + time elapsed: 6.11s @@ -308,7 +308,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.652 seconds) + **Total running time of the script:** ( 0 minutes 6.286 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 279980241d62c..fdd22bdbd8028 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 7.145 seconds) + **Total running time of the script:** ( 0 minutes 7.781 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 4a686dfc16245..dc66f42dcaf66 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 9.655 seconds) + **Total running time of the script:** ( 0 minutes 9.539 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 ddceae85089b6..b7f9171e4e95d 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 1.110s. + done in 1.166s. Extracting tf-idf features for NMF... - done in 0.238s. + done in 0.237s. Extracting tf features for LDA... - done in 0.230s. + done in 0.233s. Fitting the NMF model (Frobenius norm) with tf-idf features, n_samples=2000 and n_features=1000... - done in 0.072s. + done in 0.071s. Fitting the NMF model (generalized Kullback-Leibler divergence) with tf-idf features, n_samples=2000 and n_features=1000... - done in 1.212s. + done in 1.249s. Fitting the MiniBatchNMF model (Frobenius norm) with tf-idf features, n_samples=2000 and n_features=1000, batch_size=128... - done in 0.077s. + done in 0.081s. Fitting the MiniBatchNMF model (generalized Kullback-Leibler divergence) with tf-idf features, n_samples=2000 and n_features=1000, batch_size=128... - done in 0.209s. + done in 0.224s. Fitting LDA models with tf features, n_samples=2000 and n_features=1000... - done in 1.979s. + done in 2.088s. @@ -328,7 +328,7 @@ proportional to (n_samples * iterations). .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 10.769 seconds) + **Total running time of the script:** ( 0 minutes 11.134 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 4ca4dcd186bb6..b4543b924303f 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 ================= -**01:34.241** total execution time for **auto_examples_applications** files: +**01:31.958** total execution time for **auto_examples_applications** files: +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``plot_prediction_latency.py``) | 00:15.880 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``plot_prediction_latency.py``) | 00:15.030 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``plot_cyclical_feature_engineering.py``) | 00:12.607 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``plot_cyclical_feature_engineering.py``) | 00:11.777 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``plot_topics_extraction_with_nmf_lda.py``) | 00:10.769 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``plot_topics_extraction_with_nmf_lda.py``) | 00:11.134 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``plot_digits_denoising.py``) | 00:09.947 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``plot_digits_denoising.py``) | 00:09.784 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``plot_tomography_l1_reconstruction.py``) | 00:09.655 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``plot_tomography_l1_reconstruction.py``) | 00:09.539 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``plot_out_of_core_classification.py``) | 00:08.128 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``plot_out_of_core_classification.py``) | 00:08.126 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``plot_stock_market.py``) | 00:07.145 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``plot_stock_market.py``) | 00:07.781 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``plot_face_recognition.py``) | 00:06.912 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``plot_face_recognition.py``) | 00:06.677 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``plot_species_distribution_modeling.py``) | 00:06.652 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``plot_species_distribution_modeling.py``) | 00:06.286 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``plot_model_complexity_influence.py``) | 00:05.269 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``plot_model_complexity_influence.py``) | 00:04.571 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` (``plot_outlier_detection_wine.py``) | 00:01.277 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` (``plot_outlier_detection_wine.py``) | 00:01.251 | 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 883c45f59326d..bcdfaa384a283 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 1.39s. V-measure: 0.4415 + Done in 1.46s. V-measure: 0.4415 MiniBatchKMeans... - Done in 2.20s. V-measure: 0.3015 + Done in 2.55s. 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 6.206 seconds) + **Total running time of the script:** ( 0 minutes 6.887 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 4856c505cb926..c008db9a2c1fd 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 0.544 seconds) + **Total running time of the script:** ( 0 minutes 0.587 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 527103633dccd..ba3b9b53dc780 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 0.338 seconds) + **Total running time of the script:** ( 0 minutes 0.353 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 1ba946a8f1015..8c1cc374a3131 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 ================= -**00:07.088** total execution time for **auto_examples_bicluster** files: +**00:07.826** total execution time for **auto_examples_bicluster** files: +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``plot_bicluster_newsgroups.py``) | 00:06.206 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``plot_bicluster_newsgroups.py``) | 00:06.887 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_biclustering.py` (``plot_spectral_biclustering.py``) | 00:00.544 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_biclustering.py` (``plot_spectral_biclustering.py``) | 00:00.587 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_coclustering.py` (``plot_spectral_coclustering.py``) | 00:00.338 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_coclustering.py` (``plot_spectral_coclustering.py``) | 00:00.353 | 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 7f4046d0fd417..53c06f1e598bf 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 0.340 seconds) + **Total running time of the script:** ( 0 minutes 0.379 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 778ec04a299c0..156fbde3fd1cf 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 2.085 seconds) + **Total running time of the script:** ( 0 minutes 2.204 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 a10e6d8d65746..2294c23a1b93c 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 1.480 seconds) + **Total running time of the script:** ( 0 minutes 1.572 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 ad9718dd3c6be..44bd1ef3db8ee 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 1.189 seconds) + **Total running time of the script:** ( 0 minutes 1.330 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 56085ebbe0b1f..b5c1b3ad342dc 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 ================= -**00:05.094** total execution time for **auto_examples_calibration** files: +**00:05.485** total execution time for **auto_examples_calibration** files: +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``plot_calibration_curve.py``) | 00:02.085 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``plot_calibration_curve.py``) | 00:02.204 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py` (``plot_calibration_multiclass.py``) | 00:01.480 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py` (``plot_calibration_multiclass.py``) | 00:01.572 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``plot_compare_calibration.py``) | 00:01.189 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``plot_compare_calibration.py``) | 00:01.330 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration.py` (``plot_calibration.py``) | 00:00.340 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration.py` (``plot_calibration.py``) | 00:00.379 | 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 3ae8592b7036e..d4689b6df6362 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 1.161 seconds) + **Total running time of the script:** ( 0 minutes 1.169 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 77c2bcb441449..0535903e36698 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 2.406 seconds) + **Total running time of the script:** ( 0 minutes 2.668 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 d5eca58ce7d8c..f8c93a00196e8 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 0.458 seconds) + **Total running time of the script:** ( 0 minutes 0.489 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 a6b3b30e38d4a..24df9dc7cb24a 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 7.134 seconds) + **Total running time of the script:** ( 0 minutes 8.045 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 7b49ddcb8f05d..7ab9ab0f50d62 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 0.287 seconds) + **Total running time of the script:** ( 0 minutes 0.296 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 3b3c558880968..f61b649732efe 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 ================= -**00:11.447** total execution time for **auto_examples_classification** files: +**00:12.667** total execution time for **auto_examples_classification** files: +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``plot_lda.py``) | 00:07.134 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``plot_lda.py``) | 00:08.045 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``plot_classifier_comparison.py``) | 00:02.406 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``plot_classifier_comparison.py``) | 00:02.668 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``plot_classification_probability.py``) | 00:01.161 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``plot_classification_probability.py``) | 00:01.169 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_digits_classification.py` (``plot_digits_classification.py``) | 00:00.458 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_digits_classification.py` (``plot_digits_classification.py``) | 00:00.489 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_lda_qda.py` (``plot_lda_qda.py``) | 00:00.287 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_lda_qda.py` (``plot_lda_qda.py``) | 00:00.296 | 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 e1f7c1788302b..f8772609a2fe4 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 0.948 seconds) + **Total running time of the script:** ( 0 minutes 0.939 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 32a96de677be9..837b137685f9d 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 0.309 seconds) + **Total running time of the script:** ( 0 minutes 0.311 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 7f9495b045a97..1b6632cea514a 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 0.04s), 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 0.03s), linkage=ward (time 0.04s), linkage=single (time 0.01s) :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 0.05s), linkage=ward (time 0.04s), linkage=single (time 0.01s) :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 0.12s), linkage=complete (time 0.12s), 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 0.15s), 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 0.02s) + :alt: n_cluster=3, connectivity=True, linkage=average (time 0.13s), linkage=complete (time 0.11s), linkage=ward (time 0.14s), 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 2.113 seconds) + **Total running time of the script:** ( 0 minutes 2.020 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 c6a23c5ec43ab..46fa126aa1464 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 1.077 seconds) + **Total running time of the script:** ( 0 minutes 1.109 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 29a844fff8395..9ad0a05da67f7 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 0.105 seconds) + **Total running time of the script:** ( 0 minutes 0.101 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 f4ce1a6d36e3e..64d0d9a5de2ba 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 0.55 seconds + BIRCH without global clustering as the final step took 0.51 seconds n_clusters : 158 - BIRCH with global clustering as the final step took 0.56 seconds + BIRCH with global clustering as the final step took 0.51 seconds n_clusters : 100 - Time taken to run MiniBatchKMeans 0.23 seconds + Time taken to run MiniBatchKMeans 0.22 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 3.815 seconds) + **Total running time of the script:** ( 0 minutes 3.589 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 39887a1dab2a4..7ed6379bb5439 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 1.070 seconds) + **Total running time of the script:** ( 0 minutes 1.108 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 c340a8d2100f8..e893338c49f56 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 7.278 seconds) + **Total running time of the script:** ( 0 minutes 6.646 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 bab87c4880423..542f43a6ff1ea 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 0.286 seconds) + **Total running time of the script:** ( 0 minutes 0.292 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 5a9de90452de2..265638a12744c 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, 1.61s + :alt: Spectral clustering: kmeans, 1.55s :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, 1.49s + :alt: Spectral clustering: discretize, 1.45s :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, 1.47s + :alt: Spectral clustering: cluster_qr, 1.44s :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, 1.61s - Spectral clustering: discretize, 1.49s - Spectral clustering: cluster_qr, 1.47s + Spectral clustering: kmeans, 1.55s + Spectral clustering: discretize, 1.45s + Spectral clustering: cluster_qr, 1.44s @@ -182,7 +182,7 @@ Compute and visualize the resulting regions .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.910 seconds) + **Total running time of the script:** ( 0 minutes 4.755 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 cf5c8cdd01179..a6ee1d1c3e1bc 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 @@ -153,7 +153,7 @@ Compute clustering .. code-block:: none Compute structured hierarchical clustering... - Elapsed time: 0.160s + Elapsed time: 0.151s Number of pixels: 4697 Number of clusters: 27 @@ -202,7 +202,7 @@ is finding a large in the background. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.377 seconds) + **Total running time of the script:** ( 0 minutes 0.373 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 24d9677f6a761..6810084f36e3b 100644 --- a/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt @@ -74,7 +74,7 @@ randomly) is also shown. Predicting color indices on the full image (k-means) done in 0.041s. Predicting color indices on the full image (random) - done in 0.080s. + done in 0.077s. @@ -167,7 +167,7 @@ randomly) is also shown. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.557 seconds) + **Total running time of the script:** ( 0 minutes 0.520 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 5cf512f83b03b..2c294903bcc77 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 0.227 seconds) + **Total running time of the script:** ( 0 minutes 0.191 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 2d010c4d078dc..67a189121cf36 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 1.21s. + done in 1.23s. @@ -189,7 +189,7 @@ Plot the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.634 seconds) + **Total running time of the script:** ( 0 minutes 2.662 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 a3ba029e6649d..13c5eeba323e2 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 0.165 seconds) + **Total running time of the script:** ( 0 minutes 0.172 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 b2a8610387674..d4c8ebc2e7c8c 100644 --- a/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt @@ -86,7 +86,7 @@ random resampling of the dataset. Computing embedding Done. - ward : 0.06s + ward : 0.05s average : 0.05s 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 1.416 seconds) + **Total running time of the script:** ( 0 minutes 1.465 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 37506c356418b..766fada6e7076 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 2.413 seconds) + **Total running time of the script:** ( 0 minutes 2.458 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 1482721e019c4..1b9ff07bdb352 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 @@ -205,7 +205,7 @@ Ward agglomeration followed by BayesianRidge ..., [-0.849835, ..., -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 @@ -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 0.502 seconds) + **Total running time of the script:** ( 0 minutes 0.531 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 3414eb7da9767..43e3b3b5b6514 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 15.166 seconds) + **Total running time of the script:** ( 0 minutes 14.350 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 8acff1651f80a..bd1afae475408 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 2.015 seconds) + **Total running time of the script:** ( 0 minutes 2.028 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 11223a45b8e43..84a8e43694ad4 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 1.136 seconds) + **Total running time of the script:** ( 0 minutes 1.208 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 c800925388b6f..d24bdcb185f70 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt @@ -207,8 +207,8 @@ We will compare three approaches: __________________________________________________________________________________ init time inertia homo compl v-meas ARI AMI silhouette - k-means++ 0.035s 69545 0.598 0.645 0.621 0.469 0.617 0.152 - random 0.047s 69735 0.681 0.723 0.701 0.574 0.698 0.170 + k-means++ 0.036s 69545 0.598 0.645 0.621 0.469 0.617 0.152 + random 0.045s 69735 0.681 0.723 0.701 0.574 0.698 0.170 PCA-based 0.013s 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 0.780 seconds) + **Total running time of the script:** ( 0 minutes 0.774 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 05b90b4f9f2bf..faa8ed7c28a80 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 0.075 seconds) + **Total running time of the script:** ( 0 minutes 0.066 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 ce9fde796fd66..5a53d5ccce6c7 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 1.149 seconds) + **Total running time of the script:** ( 0 minutes 1.110 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 108fd7a6fc5f5..069f2c42ba50b 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 1.221 seconds) + **Total running time of the script:** ( 0 minutes 1.268 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 d3becd46478d9..2c2316d294c38 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 2.325 seconds) + **Total running time of the script:** ( 0 minutes 2.140 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 d79364c02ef75..c027f3b712d0f 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 0.431 seconds) + **Total running time of the script:** ( 0 minutes 0.422 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 de680732aa4f5..6a4e2d6761fd1 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 0.223 seconds) + **Total running time of the script:** ( 0 minutes 0.197 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 6041f6818e07b..9071c484ed381 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 1.488 seconds) + **Total running time of the script:** ( 0 minutes 1.501 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 ce141147133e8..be379a056bd41 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 0.521 seconds) + **Total running time of the script:** ( 0 minutes 0.539 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 6e67adeefac3f..a5b8829f9f32e 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 0.349 seconds) + **Total running time of the script:** ( 0 minutes 0.360 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 35dc1648b4c58..4e383652cbbc6 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 ================= -**00:57.081** total execution time for **auto_examples_cluster** files: +**00:55.208** total execution time for **auto_examples_cluster** files: +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``plot_hdbscan.py``) | 00:15.166 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``plot_hdbscan.py``) | 00:14.350 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``plot_cluster_comparison.py``) | 00:07.278 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``plot_cluster_comparison.py``) | 00:06.646 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``plot_coin_segmentation.py``) | 00:04.910 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``plot_coin_segmentation.py``) | 00:04.755 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``plot_birch_vs_minibatchkmeans.py``) | 00:03.815 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``plot_birch_vs_minibatchkmeans.py``) | 00:03.589 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``plot_dict_face_patches.py``) | 00:02.634 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``plot_dict_face_patches.py``) | 00:02.662 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``plot_face_compress.py``) | 00:02.413 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``plot_face_compress.py``) | 00:02.458 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``plot_linkage_comparison.py``) | 00:02.325 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``plot_linkage_comparison.py``) | 00:02.140 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``plot_agglomerative_clustering.py``) | 00:02.113 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``plot_inductive_clustering.py``) | 00:02.028 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``plot_inductive_clustering.py``) | 00:02.015 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``plot_agglomerative_clustering.py``) | 00:02.020 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``plot_optics.py``) | 00:01.488 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``plot_optics.py``) | 00:01.501 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py` (``plot_digits_linkage.py``) | 00:01.416 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py` (``plot_digits_linkage.py``) | 00:01.465 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py` (``plot_kmeans_stability_low_dim_dense.py``) | 00:01.221 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py` (``plot_kmeans_stability_low_dim_dense.py``) | 00:01.268 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py` (``plot_kmeans_silhouette_analysis.py``) | 00:01.149 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py` (``plot_kmeans_assumptions.py``) | 00:01.208 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py` (``plot_kmeans_assumptions.py``) | 00:01.136 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py` (``plot_kmeans_silhouette_analysis.py``) | 00:01.110 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py` (``plot_agglomerative_clustering_metrics.py``) | 00:01.077 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py` (``plot_agglomerative_clustering_metrics.py``) | 00:01.109 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_bisect_kmeans.py` (``plot_bisect_kmeans.py``) | 00:01.070 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_bisect_kmeans.py` (``plot_bisect_kmeans.py``) | 00:01.108 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py` (``plot_adjusted_for_chance_measures.py``) | 00:00.948 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py` (``plot_adjusted_for_chance_measures.py``) | 00:00.939 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``plot_kmeans_digits.py``) | 00:00.780 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``plot_kmeans_digits.py``) | 00:00.774 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py` (``plot_color_quantization.py``) | 00:00.557 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py` (``plot_segmentation_toy.py``) | 00:00.539 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py` (``plot_segmentation_toy.py``) | 00:00.521 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py` (``plot_feature_agglomeration_vs_univariate_selection.py``) | 00:00.531 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py` (``plot_feature_agglomeration_vs_univariate_selection.py``) | 00:00.502 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py` (``plot_color_quantization.py``) | 00:00.520 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py` (``plot_mean_shift.py``) | 00:00.431 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py` (``plot_mean_shift.py``) | 00:00.422 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py` (``plot_coin_ward_segmentation.py``) | 00:00.377 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py` (``plot_coin_ward_segmentation.py``) | 00:00.373 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py` (``plot_ward_structured_vs_unstructured.py``) | 00:00.349 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py` (``plot_ward_structured_vs_unstructured.py``) | 00:00.360 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``plot_affinity_propagation.py``) | 00:00.309 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``plot_affinity_propagation.py``) | 00:00.311 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py` (``plot_cluster_iris.py``) | 00:00.286 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py` (``plot_cluster_iris.py``) | 00:00.292 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``plot_dbscan.py``) | 00:00.227 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py` (``plot_mini_batch_kmeans.py``) | 00:00.197 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py` (``plot_mini_batch_kmeans.py``) | 00:00.223 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``plot_dbscan.py``) | 00:00.191 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py` (``plot_digits_agglomeration.py``) | 00:00.165 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py` (``plot_digits_agglomeration.py``) | 00:00.172 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_dendrogram.py` (``plot_agglomerative_dendrogram.py``) | 00:00.105 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_dendrogram.py` (``plot_agglomerative_dendrogram.py``) | 00:00.101 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_plusplus.py` (``plot_kmeans_plusplus.py``) | 00:00.075 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_plusplus.py` (``plot_kmeans_plusplus.py``) | 00:00.066 | 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 f3fa0242e53a3..f322def2ef3a2 100644 --- a/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt @@ -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 2.511 seconds) + **Total running time of the script:** ( 0 minutes 2.555 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 b9f211fd06805..2638ae58e17fb 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 0x7ff666d71ee0>))]), + score_func=<function chi2 at 0x7faa7252fee0>))]), ['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 0x7faa7252fee0>))]), + ['embarked', 'sex', 'pclass'])])
['age', 'fare']
SimpleImputer(strategy='median')
StandardScaler()
['embarked', 'sex', 'pclass']
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7faa7252fee0>)
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 0x7ff621987490>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ceeb0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7ff666d71ee0>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987550>)])), + score_func=<function chi2 at 0x7faa7252fee0>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>)])), ('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 0x7faa7252fee0>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ceeb0>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7faa7252fee0>)
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 0x7ff621987490>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ceeb0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('s... - score_func=<function chi2 at 0x7ff666d71ee0>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987550>)])), + score_func=<function chi2 at 0x7faa7252fee0>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>)])), ('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 0x7ff621987490>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ceeb0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('s... - score_func=<function chi2 at 0x7ff666d71ee0>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987550>)])), + score_func=<function chi2 at 0x7faa7252fee0>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>)])), ('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 0x7ff621987490>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ceeb0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7ff666d71ee0>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987550>)])), + score_func=<function chi2 at 0x7faa7252fee0>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>)])), ('classifier', LogisticRegression())])
ColumnTransformer(transformers=[('num',
                                      Pipeline(steps=[('imputer',
                                                       SimpleImputer(strategy='median')),
                                                      ('scaler', StandardScaler())]),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987490>),
+                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ceeb0>),
                                     ('cat',
                                      Pipeline(steps=[('encoder',
                                                       OneHotEncoder(handle_unknown='ignore')),
                                                      ('selector',
                                                       SelectPercentile(percentile=50,
-                                                                       score_func=<function chi2 at 0x7ff666d71ee0>))]),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987550>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987490>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff621987550>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7ff666d71ee0>)
LogisticRegression()
+ score_func=<function chi2 at 0x7faa7252fee0>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ceeb0>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7faa4e0ce940>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7faa7252fee0>)
LogisticRegression()


@@ -755,7 +755,7 @@ not used for hyperparameter tuning. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.127 seconds) + **Total running time of the script:** ( 0 minutes 1.128 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 569a5f857e092..4a6a66699fa11 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 0x7ff666d7f3a0>)], + 'reduce_dim': [SelectKBest(score_func=<function mutual_info_classif at 0x7faa725343a0>)], '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 41.942 seconds) + **Total running time of the script:** ( 0 minutes 44.139 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 6af431b23dd2f..f126fe2b1b9f5 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 3.612 seconds) + **Total running time of the script:** ( 0 minutes 3.686 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 631168c1d104d..3d42779e883c5 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 0.383 seconds) + **Total running time of the script:** ( 0 minutes 0.441 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 af2cca9e264a9..82ed5c8626a77 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 1.199 seconds) + **Total running time of the script:** ( 0 minutes 1.254 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 5a80e3ca2121d..52a8e84e3177a 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 ================= -**00:50.774** total execution time for **auto_examples_compose** files: +**00:53.203** total execution time for **auto_examples_compose** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``plot_compare_reduction.py``) | 00:41.942 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``plot_compare_reduction.py``) | 00:44.139 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py` (``plot_digits_pipe.py``) | 00:03.612 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py` (``plot_digits_pipe.py``) | 00:03.686 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``plot_column_transformer.py``) | 00:02.511 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``plot_column_transformer.py``) | 00:02.555 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py` (``plot_transformed_target.py``) | 00:01.199 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py` (``plot_transformed_target.py``) | 00:01.254 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer_mixed_types.py` (``plot_column_transformer_mixed_types.py``) | 00:01.127 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer_mixed_types.py` (``plot_column_transformer_mixed_types.py``) | 00:01.128 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py` (``plot_feature_union.py``) | 00:00.383 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py` (``plot_feature_union.py``) | 00:00.441 | 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 9e3bcca5b4fdd..6f8db56c6de75 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 0.439 seconds) + **Total running time of the script:** ( 0 minutes 0.432 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 ca149e9dd79fb..cd90b46b7f63e 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 2.243 seconds) + **Total running time of the script:** ( 0 minutes 2.297 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 10e5bb5c2f2ed..fe94463eed712 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 0.297 seconds) + **Total running time of the script:** ( 0 minutes 0.284 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 12aa871e7cc45..78c89a93fb288 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 2.676 seconds) + **Total running time of the script:** ( 0 minutes 2.667 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 412c124e7a441..0479e996de7a8 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 0.566 seconds) + **Total running time of the script:** ( 0 minutes 0.532 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 b3e2e8d7c7530..bc0d2f4fb6ded 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 ================= -**00:06.220** total execution time for **auto_examples_covariance** files: +**00:06.212** 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``) | 00:02.676 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``plot_robust_vs_empirical_covariance.py``) | 00:02.667 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``plot_lw_vs_oas.py``) | 00:02.243 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``plot_lw_vs_oas.py``) | 00:02.297 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py` (``plot_sparse_cov.py``) | 00:00.566 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py` (``plot_sparse_cov.py``) | 00:00.532 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py` (``plot_covariance_estimation.py``) | 00:00.439 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py` (``plot_covariance_estimation.py``) | 00:00.432 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py` (``plot_mahalanobis_distances.py``) | 00:00.297 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py` (``plot_mahalanobis_distances.py``) | 00:00.284 | 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 b1389216d299c..fb770744a6649 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 0.239 seconds) + **Total running time of the script:** ( 0 minutes 0.219 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 99bc8cf31c01b..0665891043a12 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 0.443 seconds) + **Total running time of the script:** ( 0 minutes 0.468 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 00f6a58502513..a74e7fc72a195 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 ================= -**00:00.683** total execution time for **auto_examples_cross_decomposition** files: +**00:00.688** 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``) | 00:00.443 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_pcr_vs_pls.py` (``plot_pcr_vs_pls.py``) | 00:00.468 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py` (``plot_compare_cross_decomposition.py``) | 00:00.239 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py` (``plot_compare_cross_decomposition.py``) | 00:00.219 | 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 dad22044026b5..aa022f3f76565 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 0.057 seconds) + **Total running time of the script:** ( 0 minutes 0.056 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 bb11430710456..66b58d70f6f33 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 0.145 seconds) + **Total running time of the script:** ( 0 minutes 0.144 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 6598a5fdbb89f..4908d25ca0287 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 0.319 seconds) + **Total running time of the script:** ( 0 minutes 0.320 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_random_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 6368aa1e8939f..a7b23b8469165 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 ================= -**00:00.648** total execution time for **auto_examples_datasets** files: +**00:00.647** total execution time for **auto_examples_datasets** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py` (``plot_random_dataset.py``) | 00:00.319 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py` (``plot_random_dataset.py``) | 00:00.320 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_iris_dataset.py` (``plot_iris_dataset.py``) | 00:00.145 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_iris_dataset.py` (``plot_iris_dataset.py``) | 00:00.144 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_datasets_plot_random_multilabel_dataset.py` (``plot_random_multilabel_dataset.py``) | 00:00.127 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_digits_last_image.py` (``plot_digits_last_image.py``) | 00:00.057 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_digits_last_image.py` (``plot_digits_last_image.py``) | 00:00.056 | 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 c16067bdc8252..4e0e445098fb1 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 8.843 seconds) + **Total running time of the script:** ( 0 minutes 8.838 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 e4ca6e0806a57..12917aec02a95 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 0.304 seconds) + **Total running time of the script:** ( 0 minutes 0.302 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 c3732226312bc..5ac4c1116216f 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 0.290 seconds) + **Total running time of the script:** ( 0 minutes 0.273 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 552336c89172e..1243d1a78771c 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 16.6s on 22692 patches + :alt: Dictionary learned from face patches Train time 16.1s 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 16.60. + 2.0 iterations / 125 steps in 16.06. @@ -308,7 +308,7 @@ Extract noisy patches and reconstruct them using the dictionary * .. 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: 1.1s), Image, Difference (norm: 9.37) :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_004.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 0.65s. + done in 0.57s. Orthogonal Matching Pursuit 2 atoms... - done in 1.21s. + done in 1.14s. Least-angle regression 4 atoms... - done in 9.03s. + done in 8.95s. Thresholding alpha=0.1... - done in 0.09s. + done in 0.10s. @@ -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 29.149 seconds) + **Total running time of the script:** ( 0 minutes 28.284 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 3cdc135610d19..97e520a68a5fe 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 0.288 seconds) + **Total running time of the script:** ( 0 minutes 0.235 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 2db7c6480c9ee..369dfe577af4e 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 0.653 seconds) + **Total running time of the script:** ( 0 minutes 0.590 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 c43dbf2331d8e..99318b8d214a9 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 0.159 seconds) + **Total running time of the script:** ( 0 minutes 0.177 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 e21682243d001..7822533ab170c 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 0.083 seconds) + **Total running time of the script:** ( 0 minutes 0.081 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 f0938c6f33cda..5f0772fd6a088 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 2.659 seconds) + **Total running time of the script:** ( 0 minutes 2.795 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 ed8ce15182529..2c06f5c8c592c 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 0.201 seconds) + **Total running time of the script:** ( 0 minutes 0.200 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 e4aab1b69b4f3..8f736b1a94c1c 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 0.277 seconds) + **Total running time of the script:** ( 0 minutes 0.281 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 4ba160fa758e6..6e575e97870b0 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 0.373 seconds) + **Total running time of the script:** ( 0 minutes 0.349 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 d3734f9dda456..cd7cc161f9fc0 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 ================= -**00:43.279** total execution time for **auto_examples_decomposition** files: +**00:42.404** total execution time for **auto_examples_decomposition** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``plot_image_denoising.py``) | 00:29.149 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``plot_image_denoising.py``) | 00:28.284 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``plot_faces_decomposition.py``) | 00:08.843 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``plot_faces_decomposition.py``) | 00:08.838 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``plot_pca_vs_fa_model_selection.py``) | 00:02.659 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``plot_pca_vs_fa_model_selection.py``) | 00:02.795 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_kernel_pca.py` (``plot_kernel_pca.py``) | 00:00.653 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_kernel_pca.py` (``plot_kernel_pca.py``) | 00:00.590 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_varimax_fa.py` (``plot_varimax_fa.py``) | 00:00.373 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_varimax_fa.py` (``plot_varimax_fa.py``) | 00:00.349 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_blind_source_separation.py` (``plot_ica_blind_source_separation.py``) | 00:00.304 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_blind_source_separation.py` (``plot_ica_blind_source_separation.py``) | 00:00.302 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_vs_pca.py` (``plot_ica_vs_pca.py``) | 00:00.290 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_sparse_coding.py` (``plot_sparse_coding.py``) | 00:00.281 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_incremental_pca.py` (``plot_incremental_pca.py``) | 00:00.288 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_vs_pca.py` (``plot_ica_vs_pca.py``) | 00:00.273 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_sparse_coding.py` (``plot_sparse_coding.py``) | 00:00.277 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_incremental_pca.py` (``plot_incremental_pca.py``) | 00:00.235 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py` (``plot_pca_vs_lda.py``) | 00:00.201 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py` (``plot_pca_vs_lda.py``) | 00:00.200 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_3d.py` (``plot_pca_3d.py``) | 00:00.159 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_3d.py` (``plot_pca_3d.py``) | 00:00.177 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``plot_pca_iris.py``) | 00:00.083 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``plot_pca_iris.py``) | 00:00.081 | 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 e3d00a5b544a2..4a49ece1acf85 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 16.481 seconds) + **Total running time of the script:** ( 0 minutes 16.977 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 f79a064831d05..ca92779fc3c7f 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt @@ -381,7 +381,7 @@ weights are built to counter-balance the worse performing weak learners. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.626 seconds) + **Total running time of the script:** ( 0 minutes 4.039 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 08ad34c387856..3444f711ce3d8 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 0.454 seconds) + **Total running time of the script:** ( 0 minutes 0.479 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 a36f3c0f355bd..2f0aefa131f84 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 0.627 seconds) + **Total running time of the script:** ( 0 minutes 0.600 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 602b541a1f567..9c30d839cbcfd 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 1.196 seconds) + **Total running time of the script:** ( 0 minutes 1.185 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 052d7a22088c3..27a70f4557243 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 4.001 seconds) + **Total running time of the script:** ( 0 minutes 3.600 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 0973f3e41c236..56d5f45e958c1 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 0x7ff655992b80>,
+                     FunctionTransformer(func=<function rf_apply at 0x7faa4f42ab80>,
                                          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 0x7ff635f9dee0>,
+                     FunctionTransformer(func=<function gbdt_apply at 0x7faa4f8a23a0>,
                                          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 3.437 seconds) + **Total running time of the script:** ( 0 minutes 3.031 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 6e89ffad75b51..aa123af3bd3ac 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 54.216 seconds) + **Total running time of the script:** ( 0 minutes 52.311 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 bf9d91cb711c3..61762e775d438 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: 0.697 seconds + Elapsed time to compute the importances: 0.665 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 1.218 seconds) + **Total running time of the script:** ( 0 minutes 1.157 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 e5fe682f7ef8a..4896eaf56783e 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: 0.103 seconds + Elapsed time to compute the importances: 0.141 seconds @@ -205,7 +205,7 @@ the :func:`~sklearn.inspection.permutation_importance`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.344 seconds) + **Total running time of the script:** ( 0 minutes 1.250 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 d20a5344481c6..d2baaa78a1bb8 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 7.621 seconds) + **Total running time of the script:** ( 0 minutes 7.305 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 1236048188b1e..9d9d3014b9804 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 3.945 seconds) + **Total running time of the script:** ( 0 minutes 3.987 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 53a6d4f5e5f37..14b1f74589e7f 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 3.888 seconds) + **Total running time of the script:** ( 0 minutes 3.723 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 721e11dc744ef..099f6c002132e 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 8.756 seconds) + **Total running time of the script:** ( 0 minutes 8.059 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 95cedb470bfd9..9b00826540c98 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 9.422 seconds) + **Total running time of the script:** ( 0 minutes 8.729 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 abb4521c38f3c..5cdb9b846627d 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 1.300 seconds) + **Total running time of the script:** ( 0 minutes 1.227 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 c5ecaafba5393..5588181a0929a 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 8.209 seconds) + **Total running time of the script:** ( 0 minutes 7.166 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 1e00bffb7b806..1b6702ca40f5c 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 0.474 seconds) + **Total running time of the script:** ( 0 minutes 0.451 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 e4b8fb5dc9a7b..4ced4fa38cc59 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 0.733 seconds) + **Total running time of the script:** ( 0 minutes 0.594 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 cc9e7af9a2d23..aa7f6cd7bbba8 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 0.432 seconds) + **Total running time of the script:** ( 0 minutes 0.364 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 3d4b99b4a4fa6..2d91c04027a29 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 0.549 seconds) + **Total running time of the script:** ( 0 minutes 0.636 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 02c4c12e8c59b..629f8e1b576f5 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 0x7ff6365a6310>),
+                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4f3689d0>),
                                     ('ordinalencoder',
                                      OrdinalEncoder(encoded_missing_value=-2,
                                                     handle_unknown='use_encoded_value',
                                                     unknown_value=-1),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7ff6365a6340>)])
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 0x7faa4f368af0>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7faa4f3689d0>
StandardScaler()
SimpleImputer(add_indicator=True)
<sklearn.compose._column_transformer.make_column_selector object at 0x7faa4f368af0>
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 0x7ff6365a6310>),
+                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4f3689d0>),
                                                      ('ordinalencoder',
                                                       OrdinalEncoder(encoded_missing_value=-2,
                                                                      handle_unknown='use_encoded_value',
                                                                      unknown_value=-1),
-                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7ff6365a6340>)])),
+                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7faa4f368af0>)])),
                     ('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 0.394 seconds) + **Total running time of the script:** ( 0 minutes 0.382 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 f2e11ffaf944d..0550456e70f54 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 1.15 seconds for 15 candidates parameter settings. + RandomizedSearchCV took 1.19 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 3.16 seconds for 60 candidate parameter settings. + GridSearchCV took 3.26 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 4.319 seconds) + **Total running time of the script:** ( 0 minutes 4.459 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 cf3b279f10ff7..41cffc1141a8d 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 0.767 seconds) + **Total running time of the script:** ( 0 minutes 0.712 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 b7b3fc2159b61..99c58ff28d1d5 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 0.188 seconds) + **Total running time of the script:** ( 0 minutes 0.177 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 81949eda4ef21..b9e771bf31032 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 = 1.276s, GridSearch time = 5.393s + :alt: Successive Halving time = 1.319s, GridSearch time = 5.555s :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 6.829 seconds) + **Total running time of the script:** ( 0 minutes 7.041 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 549e8d5545df1..aac11663a7e0f 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 0x7FF636D71540),
+                                                           random_state=RandomState(MT19937) at 0x7FAA4D530540),
                           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 0x7ff636fc42e0>,
-                                               'min_samples_split': <scipy.stats._distn_infrastructure.rv_discrete_frozen object at 0x7ff636c9ef10>},
-                          random_state=RandomState(MT19937) at 0x7FF636D71540)
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 0x7FAA4D530540)
RandomForestClassifier(n_estimators=20,
+                           random_state=RandomState(MT19937) at 0x7FAA4D530540)


@@ -172,7 +172,7 @@ last iteration. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.725 seconds) + **Total running time of the script:** ( 0 minutes 4.670 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 0a5f838776659..d3bb83d62b8b4 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 6.167 seconds) + **Total running time of the script:** ( 0 minutes 6.094 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 444617dfe86aa..5e2409e3b02cf 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 0.201 seconds) + **Total running time of the script:** ( 0 minutes 0.196 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 c7f66410b0075..1dda749c45a3b 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 0.622 seconds) + **Total running time of the script:** ( 0 minutes 0.522 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 b505f41083be3..4b5e0ef2294f2 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 ================= -**02:01.058** total execution time for **auto_examples_model_selection** files: +**01:55.855** 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``) | 00:29.635 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py` (``plot_grid_search_text_feature_extraction.py``) | 00:27.942 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``plot_learning_curve.py``) | 00:26.868 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``plot_learning_curve.py``) | 00:23.141 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``plot_permutation_tests_for_classification.py``) | 00:10.768 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``plot_permutation_tests_for_classification.py``) | 00:10.556 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``plot_grid_search_digits.py``) | 00:09.990 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``plot_grid_search_digits.py``) | 00:10.215 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``plot_multi_metric_evaluation.py``) | 00:07.476 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``plot_multi_metric_evaluation.py``) | 00:07.524 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``plot_successive_halving_heatmap.py``) | 00:06.829 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``plot_successive_halving_heatmap.py``) | 00:07.041 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``plot_train_error_vs_test_error.py``) | 00:06.167 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``plot_train_error_vs_test_error.py``) | 00:06.094 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``plot_nested_cross_validation_iris.py``) | 00:05.960 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``plot_nested_cross_validation_iris.py``) | 00:05.946 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``plot_successive_halving_iterations.py``) | 00:04.725 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``plot_successive_halving_iterations.py``) | 00:04.670 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``plot_randomized_search.py``) | 00:04.319 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``plot_randomized_search.py``) | 00:04.459 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``plot_likelihood_ratios.py``) | 00:01.985 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``plot_likelihood_ratios.py``) | 00:02.059 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py` (``plot_grid_search_stats.py``) | 00:01.436 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py` (``plot_grid_search_stats.py``) | 00:01.446 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py` (``plot_grid_search_refit_callable.py``) | 00:01.153 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py` (``plot_grid_search_refit_callable.py``) | 00:01.211 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py` (``plot_cv_indices.py``) | 00:01.062 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py` (``plot_cv_indices.py``) | 00:01.038 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_roc.py` (``plot_roc.py``) | 00:00.767 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_roc.py` (``plot_roc.py``) | 00:00.712 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py` (``plot_validation_curve.py``) | 00:00.622 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py` (``plot_validation_curve.py``) | 00:00.522 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py` (``plot_precision_recall.py``) | 00:00.394 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py` (``plot_precision_recall.py``) | 00:00.382 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``plot_underfitting_overfitting.py``) | 00:00.201 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``plot_underfitting_overfitting.py``) | 00:00.196 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py` (``plot_roc_crossval.py``) | 00:00.188 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_det.py` (``plot_det.py``) | 00:00.184 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_det.py` (``plot_det.py``) | 00:00.181 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py` (``plot_confusion_matrix.py``) | 00:00.178 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py` (``plot_confusion_matrix.py``) | 00:00.172 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py` (``plot_roc_crossval.py``) | 00:00.177 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py` (``plot_cv_predict.py``) | 00:00.158 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py` (``plot_cv_predict.py``) | 00:00.160 | 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 449d0bb2bf8a7..54b39e500c1ff 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 2.137 seconds) + **Total running time of the script:** ( 0 minutes 2.092 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 f108ff28ce56e..0ce691dace6e4 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 ================= -**00:02.137** total execution time for **auto_examples_multioutput** files: +**00:02.092** total execution time for **auto_examples_multioutput** files: +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``plot_classifier_chain_yeast.py``) | 00:02.137 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``plot_classifier_chain_yeast.py``) | 00:02.092 | 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 4d089c636e219..c0cdeb8e4a899 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 0.936 seconds) + **Total running time of the script:** ( 0 minutes 0.907 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 a3209fe171436..ab8203fc176c7 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 0.485 seconds) + **Total running time of the script:** ( 0 minutes 0.483 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 c71a9ac6d5961..d9ad416843cae 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 4.441 seconds) + **Total running time of the script:** ( 0 minutes 4.384 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 16f3654634703..86f679e39c413 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 0.617 seconds) + **Total running time of the script:** ( 0 minutes 0.603 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 9d29be74163ca..6c9fea88cad0a 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 0.629 seconds) + **Total running time of the script:** ( 0 minutes 0.623 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 d3b909dc019e2..56cbbd8322dfb 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 0.085 seconds) + **Total running time of the script:** ( 0 minutes 0.083 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 0eff2d298a5e7..b8e2bf480f989 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 0.457 seconds) + **Total running time of the script:** ( 0 minutes 0.445 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 72e3337c571d3..22f73c22f1ac7 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 1.724 seconds) + **Total running time of the script:** ( 0 minutes 1.532 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 3fba0a9b5293a..a83b8550a855b 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 0.155 seconds) + **Total running time of the script:** ( 0 minutes 0.152 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 60fc26862a45f..69126232515dd 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 0.168 seconds) + **Total running time of the script:** ( 0 minutes 0.164 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 79d31526a62df..2c3ac9f927d2f 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 0.175 seconds) + **Total running time of the script:** ( 0 minutes 0.172 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 9a63560364500..8ab0fc14b3fe6 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 3.392 seconds) + **Total running time of the script:** ( 0 minutes 3.382 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 4480a59b1896e..76f6adae1ec79 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 ================= -**00:13.263** total execution time for **auto_examples_neighbors** files: +**00:12.929** total execution time for **auto_examples_neighbors** files: +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``plot_digits_kde_sampling.py``) | 00:04.441 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``plot_digits_kde_sampling.py``) | 00:04.384 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``plot_species_kde.py``) | 00:03.392 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``plot_species_kde.py``) | 00:03.382 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``plot_nca_dim_reduction.py``) | 00:01.724 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``plot_nca_dim_reduction.py``) | 00:01.532 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py` (``plot_caching_nearest_neighbors.py``) | 00:00.936 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py` (``plot_caching_nearest_neighbors.py``) | 00:00.907 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py` (``plot_lof_novelty_detection.py``) | 00:00.629 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py` (``plot_lof_novelty_detection.py``) | 00:00.623 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_kde_1d.py` (``plot_kde_1d.py``) | 00:00.617 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_kde_1d.py` (``plot_kde_1d.py``) | 00:00.603 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_classification.py` (``plot_classification.py``) | 00:00.485 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_classification.py` (``plot_classification.py``) | 00:00.483 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_classification.py` (``plot_nca_classification.py``) | 00:00.457 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_classification.py` (``plot_nca_classification.py``) | 00:00.445 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``plot_regression.py``) | 00:00.175 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``plot_regression.py``) | 00:00.172 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nearest_centroid.py` (``plot_nearest_centroid.py``) | 00:00.168 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nearest_centroid.py` (``plot_nearest_centroid.py``) | 00:00.164 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_illustration.py` (``plot_nca_illustration.py``) | 00:00.155 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_illustration.py` (``plot_nca_illustration.py``) | 00:00.152 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_outlier_detection.py` (``plot_lof_outlier_detection.py``) | 00:00.085 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_outlier_detection.py` (``plot_lof_outlier_detection.py``) | 00:00.083 | 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 1461a363836de..9491f180fd7c5 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 1.879 seconds) + **Total running time of the script:** ( 0 minutes 1.870 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 bcbba7bd6bb37..2f1d85c7b683b 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 2.691 seconds) + **Total running time of the script:** ( 0 minutes 2.641 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 7c19ad09fbe44..e176fa1661f56 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 6.062 seconds) + **Total running time of the script:** ( 0 minutes 5.906 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 f32876e25cb2e..383830aedcdb8 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 @@ -174,9 +174,9 @@ reproduced here because of runtime constraints. .. code-block:: none - [BernoulliRBM] Iteration 1, pseudo-likelihood = -25.57, time = 0.08s + [BernoulliRBM] Iteration 1, pseudo-likelihood = -25.57, time = 0.09s [BernoulliRBM] Iteration 2, pseudo-likelihood = -23.68, time = 0.13s - [BernoulliRBM] Iteration 3, pseudo-likelihood = -22.88, time = 0.12s + [BernoulliRBM] Iteration 3, pseudo-likelihood = -22.88, time = 0.13s [BernoulliRBM] Iteration 4, pseudo-likelihood = -21.91, time = 0.12s [BernoulliRBM] Iteration 5, pseudo-likelihood = -21.79, time = 0.12s [BernoulliRBM] Iteration 6, pseudo-likelihood = -20.96, time = 0.12s @@ -326,7 +326,7 @@ Plotting .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.472 seconds) + **Total running time of the script:** ( 0 minutes 4.497 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 0d5598cc036a4..1b68210578e64 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 ================= -**00:15.104** total execution time for **auto_examples_neural_networks** files: +**00:14.914** total execution time for **auto_examples_neural_networks** files: +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``plot_mnist_filters.py``) | 00:06.062 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``plot_mnist_filters.py``) | 00:05.906 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``plot_rbm_logistic_classification.py``) | 00:04.472 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``plot_rbm_logistic_classification.py``) | 00:04.497 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``plot_mlp_training_curves.py``) | 00:02.691 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``plot_mlp_training_curves.py``) | 00:02.641 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``plot_mlp_alpha.py``) | 00:01.879 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``plot_mlp_alpha.py``) | 00:01.870 | 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 1e0310bebce6c..ec08495aff2e3 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 8.308 seconds) + **Total running time of the script:** ( 0 minutes 8.597 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 6d9d91f86cda5..9e316932a60ab 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 0.184 seconds) + **Total running time of the script:** ( 0 minutes 0.186 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 a0f73b5149111..094fb1d1f035f 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 3.511 seconds) + **Total running time of the script:** ( 0 minutes 3.293 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 8a4aa47896e4f..15da111a5e96b 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 0.679 seconds) + **Total running time of the script:** ( 0 minutes 0.669 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 ede398fa41c57..ce800711173d1 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 1.848 seconds) + **Total running time of the script:** ( 0 minutes 1.840 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 6df8381c22148..5c25e717dfb29 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 1.308 seconds) + **Total running time of the script:** ( 0 minutes 1.298 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 84a3c75cef4bb..c0f9b8db8fdaa 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 23.397 seconds) + **Total running time of the script:** ( 0 minutes 23.376 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 e3c8f60de7740..de39661713b94 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 0.297 seconds) + **Total running time of the script:** ( 0 minutes 0.269 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 9db163f7cfafe..d11482c5e9eba 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 ================= -**00:39.532** total execution time for **auto_examples_preprocessing** files: +**00:39.528** total execution time for **auto_examples_preprocessing** files: +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``plot_target_encoder.py``) | 00:23.397 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``plot_target_encoder.py``) | 00:23.376 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``plot_all_scaling.py``) | 00:08.308 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``plot_all_scaling.py``) | 00:08.597 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``plot_discretization_classification.py``) | 00:03.511 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``plot_discretization_classification.py``) | 00:03.293 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``plot_map_data_to_normal.py``) | 00:01.848 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``plot_map_data_to_normal.py``) | 00:01.840 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_scaling_importance.py` (``plot_scaling_importance.py``) | 00:01.308 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_scaling_importance.py` (``plot_scaling_importance.py``) | 00:01.298 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_strategies.py` (``plot_discretization_strategies.py``) | 00:00.679 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_strategies.py` (``plot_discretization_strategies.py``) | 00:00.669 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder_cross_val.py` (``plot_target_encoder_cross_val.py``) | 00:00.297 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder_cross_val.py` (``plot_target_encoder_cross_val.py``) | 00:00.269 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``plot_discretization.py``) | 00:00.184 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``plot_discretization.py``) | 00:00.186 | 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 e33c8031ae695..6d88b9f19b23f 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 - 0.9943999999999998 + 0.9880397435897437 @@ -509,7 +509,7 @@ Read more in the :ref:`User Guide `. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.248 seconds) + **Total running time of the script:** ( 0 minutes 1.455 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 e34983633b601..fa4d94e6a5513 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 - 0.8076774802159499 + 0.7164491030159668 @@ -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 0.596 seconds) + **Total running time of the script:** ( 0 minutes 0.709 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 5dd6557c68784..173e3114d4d4b 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 - 0.7356 + 0.7361 @@ -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 12.457 seconds) + **Total running time of the script:** ( 0 minutes 14.021 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 adc83dca23d12..187d9641eea69 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 0.015 seconds) + **Total running time of the script:** ( 0 minutes 0.016 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 e439a3257d109..16bd1e3fc8722 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 0.923 seconds) + **Total running time of the script:** ( 0 minutes 0.997 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 eeb8588669f62..bb80ba7ab91ab 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 4.778 seconds) + **Total running time of the script:** ( 0 minutes 4.929 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_2_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_3_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_3_0.rst.txt index b7470b19d55ae..7493b088783c3 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_3_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_3_0.rst.txt @@ -289,7 +289,7 @@ See the :ref:`User Guide ` for more details. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.394 seconds) + **Total running time of the script:** ( 0 minutes 1.256 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_3_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 7abbc942529bd..102045afec3c3 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 @@ -6,20 +6,20 @@ Computation times ================= -**00:21.411** total execution time for **auto_examples_release_highlights** files: +**00:23.384** 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``) | 00:12.457 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py` (``plot_release_highlights_0_24_0.py``) | 00:14.021 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``plot_release_highlights_1_2_0.py``) | 00:04.778 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``plot_release_highlights_1_2_0.py``) | 00:04.929 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_3_0.py` (``plot_release_highlights_1_3_0.py``) | 00:01.394 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py` (``plot_release_highlights_0_22_0.py``) | 00:01.455 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py` (``plot_release_highlights_0_22_0.py``) | 00:01.248 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_3_0.py` (``plot_release_highlights_1_3_0.py``) | 00:01.256 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py` (``plot_release_highlights_1_1_0.py``) | 00:00.923 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py` (``plot_release_highlights_1_1_0.py``) | 00:00.997 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_23_0.py` (``plot_release_highlights_0_23_0.py``) | 00:00.596 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_23_0.py` (``plot_release_highlights_0_23_0.py``) | 00:00.709 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py` (``plot_release_highlights_1_0_0.py``) | 00:00.015 | 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 | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ 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 82a125bd7fd6c..f97b80e08bb12 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 0.356 seconds) + **Total running time of the script:** ( 0 minutes 0.366 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 078b6b07dd753..dded723674daa 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 0.575 seconds) + **Total running time of the script:** ( 0 minutes 0.593 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 6298f02589c3d..c3f70ee71b0c9 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 0.158 seconds) + **Total running time of the script:** ( 0 minutes 0.167 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 bdea0d825e183..afb7ea089e17e 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 5.494 seconds) + **Total running time of the script:** ( 0 minutes 5.594 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 a8dae8f03ebb3..e93f251f9bcce 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 7.373 seconds) + **Total running time of the script:** ( 0 minutes 7.194 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 98cb21a8c6818..40c25d147d4cc 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 0.930 seconds) + **Total running time of the script:** ( 0 minutes 0.942 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 45352555c14de..92e4727c0a3a4 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 ================= -**00:14.886** total execution time for **auto_examples_semi_supervised** files: +**00:14.856** 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``) | 00:07.373 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``plot_semi_supervised_newsgroups.py``) | 00:07.194 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``plot_self_training_varying_threshold.py``) | 00:05.494 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``plot_self_training_varying_threshold.py``) | 00:05.594 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py` (``plot_semi_supervised_versus_svm_iris.py``) | 00:00.930 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py` (``plot_semi_supervised_versus_svm_iris.py``) | 00:00.942 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py` (``plot_label_propagation_digits_active_learning.py``) | 00:00.575 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py` (``plot_label_propagation_digits_active_learning.py``) | 00:00.593 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits.py` (``plot_label_propagation_digits.py``) | 00:00.356 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits.py` (``plot_label_propagation_digits.py``) | 00:00.366 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_structure.py` (``plot_label_propagation_structure.py``) | 00:00.158 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_structure.py` (``plot_label_propagation_structure.py``) | 00:00.167 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ 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 8981fe8b2dbfa..63333f3dd805f 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 0.226 seconds) + **Total running time of the script:** ( 0 minutes 0.223 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 70d593079885c..58cab6059a905 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 0.175 seconds) + **Total running time of the script:** ( 0 minutes 0.165 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 18240a71eae40..57b7f36445c72 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 0.387 seconds) + **Total running time of the script:** ( 0 minutes 0.373 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 b391173e57416..cdc14bdbd2d63 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 5.245 seconds) + **Total running time of the script:** ( 0 minutes 4.888 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 6d322f46fd95f..e3747cc1afdbb 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 0.075 seconds) + **Total running time of the script:** ( 0 minutes 0.072 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 d28834c17f5ce..08e4a98cc0d22 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 0.177 seconds) + **Total running time of the script:** ( 0 minutes 0.178 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 f2b6c29cfffd3..cba0dc8ca1166 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 0.323 seconds) + **Total running time of the script:** ( 0 minutes 0.304 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 deceae5afd575..9532bebc3bcbb 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 0.203 seconds) + **Total running time of the script:** ( 0 minutes 0.196 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 03a7afaa1eab4..d184d7e9cdbb6 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 0.083 seconds) + **Total running time of the script:** ( 0 minutes 0.078 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 7cb7e8bd5b0d7..bc24d6413b5b9 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 1.518 seconds) + **Total running time of the script:** ( 0 minutes 1.483 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 70836ad778167..29994fd48d5cb 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 2.547 seconds) + **Total running time of the script:** ( 0 minutes 2.727 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 d7bc3ce45c314..2d07d0d1a0709 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 6.962 seconds) + **Total running time of the script:** ( 0 minutes 7.045 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 c44cbbb811e3e..b1463d1e32332 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 0.967 seconds) + **Total running time of the script:** ( 0 minutes 0.961 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 3a375af6bc554..33c5749a7027c 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 0.504 seconds) + **Total running time of the script:** ( 0 minutes 0.512 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 d745e1b2587ed..f18dee8370c77 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 ================= -**00:19.490** total execution time for **auto_examples_svm** files: +**00:19.304** total execution time for **auto_examples_svm** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``plot_svm_scale_c.py``) | 00:06.962 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``plot_svm_scale_c.py``) | 00:07.045 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``plot_rbf_parameters.py``) | 00:05.245 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``plot_rbf_parameters.py``) | 00:04.888 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` (``plot_svm_regression.py``) | 00:02.547 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` (``plot_svm_regression.py``) | 00:02.727 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py` (``plot_svm_nonlinear.py``) | 00:01.518 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py` (``plot_svm_nonlinear.py``) | 00:01.483 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` (``plot_svm_tie_breaking.py``) | 00:00.967 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` (``plot_svm_tie_breaking.py``) | 00:00.961 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py` (``plot_weighted_samples.py``) | 00:00.504 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py` (``plot_weighted_samples.py``) | 00:00.512 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py` (``plot_oneclass.py``) | 00:00.387 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py` (``plot_oneclass.py``) | 00:00.373 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py` (``plot_svm_anova.py``) | 00:00.323 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py` (``plot_svm_anova.py``) | 00:00.304 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py` (``plot_iris_svc.py``) | 00:00.226 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py` (``plot_iris_svc.py``) | 00:00.223 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py` (``plot_svm_kernels.py``) | 00:00.203 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py` (``plot_svm_kernels.py``) | 00:00.196 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py` (``plot_separating_hyperplane_unbalanced.py``) | 00:00.177 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py` (``plot_separating_hyperplane_unbalanced.py``) | 00:00.178 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` (``plot_linearsvc_support_vectors.py``) | 00:00.175 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` (``plot_linearsvc_support_vectors.py``) | 00:00.165 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py` (``plot_custom_kernel.py``) | 00:00.097 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py` (``plot_svm_margin.py``) | 00:00.083 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py` (``plot_svm_margin.py``) | 00:00.078 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py` (``plot_separating_hyperplane.py``) | 00:00.075 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py` (``plot_separating_hyperplane.py``) | 00:00.072 | 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 93c1a3fbf4fac..b0c16accc3bd2 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 0.424s at 9.379MB/s + vectorize training done in 0.423s at 9.401MB/s n_samples: 2034, n_features: 7831 - vectorize testing done in 0.250s at 11.462MB/s + vectorize testing done in 0.247s at 11.626MB/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: 0.357s - test time: 0.000611s + train time: 0.336s + test time: 0.000579s 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: 0.0389s - test time: 0.000782s + train time: 0.0392s + test time: 0.000615s 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: 0.000951s - test time: 6.54s + train time: 0.000889s + test time: 6.04s accuracy: 0.753 ================================================================================ @@ -754,8 +754,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: RandomForestClassifier() - train time: 1.61s - test time: 0.0706s + train time: 1.7s + test time: 0.0693s 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: 0.0326s - test time: 0.000599s + train time: 0.0304s + test time: 0.000594s 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: 0.0276s - test time: 0.000655s + train time: 0.0282s + test time: 0.000602s 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: 0.0026s - test time: 0.00146s + train time: 0.00267s + test time: 0.0013s accuracy: 0.748 ================================================================================ @@ -796,8 +796,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: ComplementNB(alpha=0.1) - train time: 0.00178s - test time: 0.000686s + train time: 0.00172s + test time: 0.000479s accuracy: 0.779 @@ -898,7 +898,7 @@ classification problems. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 13.780 seconds) + **Total running time of the script:** ( 0 minutes 13.070 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 fc55fc72b91b8..bbd5af8ad1af5 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 0.460 s + vectorization done in 0.435 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 ± 0.03 s + clustering done in 0.19 ± 0.03 s Homogeneity: 0.358 ± 0.007 Completeness: 0.405 ± 0.005 V-measure: 0.380 ± 0.005 @@ -450,7 +450,7 @@ the information retrieval and text mining literature. .. code-block:: none - LSA done in 0.367 s + LSA done in 0.362 s Explained variance of the SVD step: 18.4% @@ -483,7 +483,7 @@ both :class:`~sklearn.cluster.KMeans` and .. code-block:: none - clustering done in 0.02 ± 0.00 s + clustering done in 0.03 ± 0.01 s Homogeneity: 0.398 ± 0.010 Completeness: 0.435 ± 0.015 V-measure: 0.416 ± 0.010 @@ -529,7 +529,7 @@ clustering evaluation metrics have improved. We repeat the experiment with .. code-block:: none - clustering done in 0.02 ± 0.00 s + clustering done in 0.02 ± 0.01 s Homogeneity: 0.348 ± 0.092 Completeness: 0.376 ± 0.047 V-measure: 0.358 ± 0.075 @@ -620,7 +620,7 @@ the hashed vector space. .. code-block:: none - vectorization done in 1.622 s + vectorization done in 1.791 s @@ -680,7 +680,7 @@ hashed-lsa-reduced data: .. code-block:: none - clustering done in 0.02 ± 0.00 s + clustering done in 0.04 ± 0.02 s Homogeneity: 0.357 ± 0.043 Completeness: 0.378 ± 0.046 V-measure: 0.367 ± 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 7.667 seconds) + **Total running time of the script:** ( 0 minutes 8.236 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 c753734a3a9b4..229aef31c79e3 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 1.042 s at 6.0 MB/s + done in 1.160 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 0.563 s at 11.1 MB/s + done in 0.707 s at 8.8 MB/s Found 43873 unique tokens @@ -416,7 +416,7 @@ majority of them is inactive. .. code-block:: none - done in 0.579 s at 10.8 MB/s + done in 0.625 s at 10.0 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 0.519 s at 12.0 MB/s + done in 0.596 s at 10.5 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 0.660 s at 9.5 MB/s + done in 0.805 s at 7.8 MB/s Found 47885 unique terms @@ -592,7 +592,7 @@ preprocessing and tokenization of the .. code-block:: none - done in 0.495 s at 12.6 MB/s + done in 0.483 s at 12.9 MB/s @@ -647,7 +647,7 @@ normalizing and weighting from a .. code-block:: none - done in 0.699 s at 8.9 MB/s + done in 0.741 s at 8.4 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 5.053 seconds) + **Total running time of the script:** ( 0 minutes 5.644 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 e39102a40459e..3ffc0bb98cb40 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 ================= -**00:26.500** total execution time for **auto_examples_text** files: +**00:26.950** total execution time for **auto_examples_text** files: +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``plot_document_classification_20newsgroups.py``) | 00:13.780 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``plot_document_classification_20newsgroups.py``) | 00:13.070 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``plot_document_clustering.py``) | 00:07.667 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``plot_document_clustering.py``) | 00:08.236 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``plot_hashing_vs_dict_vectorizer.py``) | 00:05.053 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``plot_hashing_vs_dict_vectorizer.py``) | 00:05.644 | 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 edd3235a93ab2..a3c515809827d 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 0.425 seconds) + **Total running time of the script:** ( 0 minutes 0.419 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 7955a295452c6..77be8c21b6f30 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 0.781 seconds) + **Total running time of the script:** ( 0 minutes 0.782 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 d424be8ec4bd5..bb5c96afd9099 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 0.087 seconds) + **Total running time of the script:** ( 0 minutes 0.088 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 79f8427e3ae09..aea4e764bfde6 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 0.231 seconds) + **Total running time of the script:** ( 0 minutes 0.229 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 41a894a718b99..cf36a950bbe4f 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 0.091 seconds) + **Total running time of the script:** ( 0 minutes 0.090 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 85c24181cb67f..55efb23febddc 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 ================= -**00:01.614** total execution time for **auto_examples_tree** files: +**00:01.609** total execution time for **auto_examples_tree** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py` (``plot_iris_dtc.py``) | 00:00.781 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py` (``plot_iris_dtc.py``) | 00:00.782 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py` (``plot_cost_complexity_pruning.py``) | 00:00.425 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py` (``plot_cost_complexity_pruning.py``) | 00:00.419 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression_multioutput.py` (``plot_tree_regression_multioutput.py``) | 00:00.231 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression_multioutput.py` (``plot_tree_regression_multioutput.py``) | 00:00.229 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py` (``plot_unveil_tree_structure.py``) | 00:00.091 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py` (``plot_unveil_tree_structure.py``) | 00:00.090 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression.py` (``plot_tree_regression.py``) | 00:00.087 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression.py` (``plot_tree_regression.py``) | 00:00.088 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/developers/contributing.rst.txt b/dev/_sources/developers/contributing.rst.txt index 753c9b8e8c7f0..fc1ef95dbced0 100644 --- a/dev/_sources/developers/contributing.rst.txt +++ b/dev/_sources/developers/contributing.rst.txt @@ -247,7 +247,7 @@ how to set up your git repository: git clone git@github.com:YourLogin/scikit-learn.git # add --depth 1 if your connection is slow cd scikit-learn -4. Follow steps 2-7 in :ref:`install_bleeding_edge` to build scikit-learn in +4. Follow steps 2-6 in :ref:`install_bleeding_edge` to build scikit-learn in development mode and return to this document. 5. Install the development dependencies: @@ -274,9 +274,11 @@ how to set up your git repository: upstream git@github.com:scikit-learn/scikit-learn.git (fetch) upstream git@github.com:scikit-learn/scikit-learn.git (push) -You should now have a working installation of scikit-learn, and your git -repository properly configured. The next steps now describe the process of -modifying code and submitting a PR: +You should now have a working installation of scikit-learn, and your git repository +properly configured. It could be useful to run some test to verify your installation. +Please refer to :ref:`pytest_tips` for examples. + +The next steps now describe the process of modifying code and submitting a PR: 8. Synchronize your ``main`` branch with the ``upstream/main`` branch, more details on `GitHub Docs `_: diff --git a/dev/auto_examples/applications/plot_cyclical_feature_engineering.html b/dev/auto_examples/applications/plot_cyclical_feature_engineering.html index 1f68e503bd0ce..5f173b7aa5c3c 100644 --- a/dev/auto_examples/applications/plot_cyclical_feature_engineering.html +++ b/dev/auto_examples/applications/plot_cyclical_feature_engineering.html @@ -2064,7 +2064,7 @@

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

-

Total running time of the script: ( 0 minutes 12.607 seconds)

+

Total running time of the script: ( 0 minutes 11.777 seconds)

 plot face recognition
Predicting people's names on the test set
-done in 0.045s
+done in 0.046s
                    precision    recall  f1-score   support
 
      Ariel Sharon       0.75      0.69      0.72        13
@@ -364,7 +364,7 @@
 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  6.912 seconds)

+
Total running time of the script: ( 0 minutes  6.677 seconds)

 
Test set is 878 documents (108 positive)
-                 SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.915 in 0.61s ( 1568 docs/s)
-          Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.855 in 0.62s ( 1553 docs/s)
-      NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 0.64s ( 1500 docs/s)
-  Passive-Aggressive classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.933 in 0.64s ( 1493 docs/s)
+                 SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.915 in 0.63s ( 1526 docs/s)
+          Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.855 in 0.64s ( 1514 docs/s)
+      NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 0.66s ( 1466 docs/s)
+  Passive-Aggressive classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.933 in 0.66s ( 1460 docs/s)
 
 
-                 SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.938 in 1.78s ( 2195 docs/s)
-          Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.936 in 1.78s ( 2191 docs/s)
-      NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 1.79s ( 2181 docs/s)
-  Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.941 in 1.80s ( 2177 docs/s)
+                 SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.938 in 1.80s ( 2175 docs/s)
+          Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.936 in 1.80s ( 2171 docs/s)
+      NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 1.81s ( 2159 docs/s)
+  Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.941 in 1.81s ( 2156 docs/s)
 
 
-                 SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 2.90s ( 2349 docs/s)
-          Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 2.91s ( 2346 docs/s)
-      NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.900 in 2.92s ( 2338 docs/s)
-  Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.953 in 2.92s ( 2336 docs/s)
+                 SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 2.92s ( 2338 docs/s)
+          Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.952 in 2.92s ( 2336 docs/s)
+      NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.900 in 2.93s ( 2329 docs/s)
+  Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.953 in 2.93s ( 2327 docs/s)
 
 
-                 SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.949 in 4.04s ( 2413 docs/s)
-          Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.953 in 4.05s ( 2411 docs/s)
-      NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 4.05s ( 2406 docs/s)
-  Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 4.06s ( 2405 docs/s)
+                 SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.949 in 4.03s ( 2419 docs/s)
+          Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.953 in 4.04s ( 2417 docs/s)
+      NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 4.04s ( 2413 docs/s)
+  Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 4.05s ( 2411 docs/s)
 
 
-                 SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.944 in 5.01s ( 2330 docs/s)
-          Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.956 in 5.01s ( 2329 docs/s)
-      NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.915 in 5.02s ( 2325 docs/s)
-  Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.950 in 5.03s ( 2324 docs/s)
+                 SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.944 in 5.01s ( 2331 docs/s)
+          Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.956 in 5.01s ( 2330 docs/s)
+      NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.915 in 5.02s ( 2327 docs/s)
+  Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.950 in 5.02s ( 2326 docs/s)
 
 
                  SGD classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.965 in 6.16s ( 2375 docs/s)
@@ -548,9 +548,9 @@ 
Main¶<
 
 
                  SGD classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.957 in 7.19s ( 2413 docs/s)
-          Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.933 in 7.20s ( 2412 docs/s)
+          Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.933 in 7.19s ( 2413 docs/s)
       NB Multinomial classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.932 in 7.20s ( 2410 docs/s)
-  Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.952 in 7.21s ( 2409 docs/s)
+  Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.952 in 7.20s ( 2409 docs/s)
@@ -664,7 +664,7 @@

Plot results
  • Prediction Times (1000 instances)
    • -

    Total running time of the script: ( 0 minutes 8.128 seconds)

    +

    Total running time of the script: ( 0 minutes 8.126 seconds)

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

    Total running time of the script: ( 0 minutes 1.277 seconds)

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

    Total running time of the script: ( 0 minutes 1.251 seconds)

    -Prediction Throughput for different estimators (100 features)

    Total running time of the script: ( 0 minutes 15.880 seconds)

    +Prediction Throughput for different estimators (100 features)

    Total running time of the script: ( 0 minutes 15.030 seconds)

     -

    Total running time of the script: ( 0 minutes 6.652 seconds)

    +

    Total running time of the script: ( 0 minutes 6.286 seconds)

    -plot stock market

    Total running time of the script: ( 0 minutes 7.145 seconds)

    +plot stock market

    Total running time of the script: ( 0 minutes 7.781 seconds)

    -

    Total running time of the script: ( 0 minutes 9.655 seconds)

    +

    Total running time of the script: ( 0 minutes 9.539 seconds)

    RandomForestRegressor
@@ -439,31 +439,31 @@ 
    Stack of predictors on a single data set
    -Single predictors versus stacked predictors, Random Forest Evaluation in 1.00 seconds, Lasso Evaluation in 0.41 seconds, Gradient Boosting Evaluation in 0.50 seconds, Stacking Regressor Evaluation in 10.26 seconds

    The stacked regressor will combine the strengths of the different regressors. +Single predictors versus stacked predictors, Random Forest Evaluation in 1.01 seconds, Lasso Evaluation in 0.46 seconds, Gradient Boosting Evaluation in 0.49 seconds, Stacking Regressor Evaluation in 10.20 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 24.663 seconds)

    +

    Total running time of the script: ( 0 minutes 24.921 seconds)

    -

    Total running time of the script: ( 0 minutes 0.530 seconds)

    +

    Total running time of the script: ( 0 minutes 0.519 seconds)

    -

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

    +

    Total running time of the script: ( 0 minutes 0.331 seconds)

    -Regressor predictions and their average

    Total running time of the script: ( 0 minutes 0.958 seconds)

    +Regressor predictions and their average

    Total running time of the script: ( 0 minutes 0.907 seconds)

    -Mean square error on each fold: coordinate descent (train time: 0.25s) +Mean square error on each fold: coordinate descent (train time: 0.26s)

    Lasso via least angle regression

    Let’s start by making the hyperparameter tuning using @@ -790,7 +790,7 @@

    ConclusionTotal running time of the script: ( 0 minutes 0.894 seconds)

    +

    Total running time of the script: ( 0 minutes 0.913 seconds)

     -

    Total running time of the script: ( 0 minutes 0.088 seconds)

    +

    Total running time of the script: ( 0 minutes 0.092 seconds)

    -

    Total running time of the script: ( 0 minutes 0.479 seconds)

    +

    Total running time of the script: ( 0 minutes 0.480 seconds)

    -

    Total running time of the script: ( 0 minutes 0.194 seconds)

    +

    Total running time of the script: ( 0 minutes 0.193 seconds)

    -Logistic Regression Path

    Total running time of the script: ( 0 minutes 0.104 seconds)

    +Logistic Regression Path

    Total running time of the script: ( 0 minutes 0.107 seconds)