doarthon
diff --git a/‎0.18/.buildinfo
Lines changed: 1 addition & 1 deletion b/‎0.18/.buildinfo
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_downloads/scikit-learn-docs.pdf
-2.48 KB b/‎0.18/_downloads/scikit-learn-docs.pdf
-2.48 KB
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_001.png
-59 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_001.png
-59 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0011.png
-59 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0011.png
-59 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_002.png
-43 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_002.png
-43 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0021.png
-43 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0021.png
-43 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_003.png
-226 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_003.png
-226 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0031.png
-226 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0031.png
-226 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_004.png
209 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_004.png
209 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0041.png
209 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_0041.png
209 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_thumb.png
-20 Bytes b/‎0.18/_images/sphx_glr_plot_agglomerative_clustering_thumb.png
-20 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_001.png
-6.07 KB b/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_001.png
-6.07 KB
diff --git a/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0011.png
-6.07 KB b/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0011.png
-6.07 KB
diff --git a/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_002.png
-179 Bytes b/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_002.png
-179 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0021.png
-179 Bytes b/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0021.png
-179 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_thumb.png
-3.82 KB b/‎0.18/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_thumb.png
-3.82 KB
diff --git a/‎0.18/_images/sphx_glr_plot_cluster_comparison_001.png
703 Bytes b/‎0.18/_images/sphx_glr_plot_cluster_comparison_001.png
703 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_cluster_comparison_0011.png
703 Bytes b/‎0.18/_images/sphx_glr_plot_cluster_comparison_0011.png
703 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_cluster_comparison_thumb.png
9 Bytes b/‎0.18/_images/sphx_glr_plot_cluster_comparison_thumb.png
9 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_compare_methods_001.png
-145 Bytes b/‎0.18/_images/sphx_glr_plot_compare_methods_001.png
-145 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_compare_methods_0011.png
-145 Bytes b/‎0.18/_images/sphx_glr_plot_compare_methods_0011.png
-145 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_compare_methods_001_carousel.png
34 Bytes b/‎0.18/_images/sphx_glr_plot_compare_methods_001_carousel.png
34 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_compare_methods_thumb.png
37 Bytes b/‎0.18/_images/sphx_glr_plot_compare_methods_thumb.png
37 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_compare_methods_thumb1.png
37 Bytes b/‎0.18/_images/sphx_glr_plot_compare_methods_thumb1.png
37 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_compare_reduction_001.png
-29 Bytes b/‎0.18/_images/sphx_glr_plot_compare_reduction_001.png
-29 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_compare_reduction_thumb.png
36 Bytes b/‎0.18/_images/sphx_glr_plot_compare_reduction_thumb.png
36 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_dict_face_patches_001.png
-136 Bytes b/‎0.18/_images/sphx_glr_plot_dict_face_patches_001.png
-136 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_dict_face_patches_0011.png
-136 Bytes b/‎0.18/_images/sphx_glr_plot_dict_face_patches_0011.png
-136 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_dict_face_patches_thumb.png
19 Bytes b/‎0.18/_images/sphx_glr_plot_dict_face_patches_thumb.png
19 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_face_segmentation_001.png
-99 Bytes b/‎0.18/_images/sphx_glr_plot_face_segmentation_001.png
-99 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_face_segmentation_0011.png
-99 Bytes b/‎0.18/_images/sphx_glr_plot_face_segmentation_0011.png
-99 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_face_segmentation_002.png
111 Bytes b/‎0.18/_images/sphx_glr_plot_face_segmentation_002.png
111 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_face_segmentation_0021.png
111 Bytes b/‎0.18/_images/sphx_glr_plot_face_segmentation_0021.png
111 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_face_segmentation_thumb.png
-75 Bytes b/‎0.18/_images/sphx_glr_plot_face_segmentation_thumb.png
-75 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_faces_decomposition_003.png
143 Bytes b/‎0.18/_images/sphx_glr_plot_faces_decomposition_003.png
143 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_faces_decomposition_0031.png
143 Bytes b/‎0.18/_images/sphx_glr_plot_faces_decomposition_0031.png
143 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_image_denoising_001.png
74 Bytes b/‎0.18/_images/sphx_glr_plot_image_denoising_001.png
74 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_image_denoising_0011.png
74 Bytes b/‎0.18/_images/sphx_glr_plot_image_denoising_0011.png
74 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_image_denoising_003.png
-58 Bytes b/‎0.18/_images/sphx_glr_plot_image_denoising_003.png
-58 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_image_denoising_004.png
73 Bytes b/‎0.18/_images/sphx_glr_plot_image_denoising_004.png
73 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_image_denoising_005.png
-231 Bytes b/‎0.18/_images/sphx_glr_plot_image_denoising_005.png
-231 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_image_denoising_006.png
306 Bytes b/‎0.18/_images/sphx_glr_plot_image_denoising_006.png
306 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_image_denoising_thumb.png
27 Bytes b/‎0.18/_images/sphx_glr_plot_image_denoising_thumb.png
27 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_003.png
1.05 KB b/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_003.png
1.05 KB
diff --git a/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_004.png
455 Bytes b/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_004.png
455 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_005.png
181 Bytes b/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_005.png
181 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_006.png
7 Bytes b/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_006.png
7 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_007.png
523 Bytes b/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_007.png
523 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_008.png
515 Bytes b/‎0.18/_images/sphx_glr_plot_johnson_lindenstrauss_bound_008.png
515 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_approximation_001.png
-206 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_approximation_001.png
-206 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_approximation_002.png
51 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_approximation_002.png
51 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_approximation_0021.png
51 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_approximation_0021.png
51 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_approximation_thumb.png
-94 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_approximation_thumb.png
-94 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_001.png
-572 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_001.png
-572 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_0011.png
-572 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_0011.png
-572 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_002.png
81 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_002.png
81 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_0021.png
81 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_0021.png
81 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png
-67 Bytes b/‎0.18/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png
-67 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lasso_model_selection_001.png
270 Bytes b/‎0.18/_images/sphx_glr_plot_lasso_model_selection_001.png
270 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lasso_model_selection_0011.png
270 Bytes b/‎0.18/_images/sphx_glr_plot_lasso_model_selection_0011.png
270 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lasso_model_selection_002.png
67 Bytes b/‎0.18/_images/sphx_glr_plot_lasso_model_selection_002.png
67 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lasso_model_selection_0021.png
67 Bytes b/‎0.18/_images/sphx_glr_plot_lasso_model_selection_0021.png
67 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lasso_model_selection_003.png
53 Bytes b/‎0.18/_images/sphx_glr_plot_lasso_model_selection_003.png
53 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lasso_model_selection_0031.png
53 Bytes b/‎0.18/_images/sphx_glr_plot_lasso_model_selection_0031.png
53 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lasso_model_selection_thumb.png
38 Bytes b/‎0.18/_images/sphx_glr_plot_lasso_model_selection_thumb.png
38 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_005.png
-325 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_005.png
-325 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_0051.png
-325 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_0051.png
-325 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_006.png
12 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_006.png
12 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_0061.png
12 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_0061.png
12 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_007.png
385 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_007.png
385 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_0071.png
385 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_0071.png
385 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_008.png
-27 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_008.png
-27 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_0081.png
-27 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_0081.png
-27 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_009.png
-130 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_009.png
-130 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_0091.png
-130 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_0091.png
-130 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_010.png
149 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_010.png
149 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_0101.png
149 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_0101.png
149 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_011.png
161 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_011.png
161 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_012.png
-216 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_012.png
-216 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_013.png
-356 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_013.png
-356 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_lle_digits_0131.png
-356 Bytes b/‎0.18/_images/sphx_glr_plot_lle_digits_0131.png
-356 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_manifold_sphere_001.png
117 Bytes b/‎0.18/_images/sphx_glr_plot_manifold_sphere_001.png
117 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_manifold_sphere_thumb.png
102 Bytes b/‎0.18/_images/sphx_glr_plot_manifold_sphere_thumb.png
102 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_model_complexity_influence_001.png
-1.54 KB b/‎0.18/_images/sphx_glr_plot_model_complexity_influence_001.png
-1.54 KB
diff --git a/‎0.18/_images/sphx_glr_plot_model_complexity_influence_0011.png
-1.54 KB b/‎0.18/_images/sphx_glr_plot_model_complexity_influence_0011.png
-1.54 KB
diff --git a/‎0.18/_images/sphx_glr_plot_model_complexity_influence_002.png
3.96 KB b/‎0.18/_images/sphx_glr_plot_model_complexity_influence_002.png
3.96 KB
diff --git a/‎0.18/_images/sphx_glr_plot_model_complexity_influence_0021.png
3.96 KB b/‎0.18/_images/sphx_glr_plot_model_complexity_influence_0021.png
3.96 KB
diff --git a/‎0.18/_images/sphx_glr_plot_model_complexity_influence_003.png
427 Bytes b/‎0.18/_images/sphx_glr_plot_model_complexity_influence_003.png
427 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_model_complexity_influence_0031.png
427 Bytes b/‎0.18/_images/sphx_glr_plot_model_complexity_influence_0031.png
427 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_model_complexity_influence_thumb.png
6 Bytes b/‎0.18/_images/sphx_glr_plot_model_complexity_influence_thumb.png
6 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_multioutput_face_completion_001.png
18 Bytes b/‎0.18/_images/sphx_glr_plot_multioutput_face_completion_001.png
18 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_multioutput_face_completion_0011.png
18 Bytes b/‎0.18/_images/sphx_glr_plot_multioutput_face_completion_0011.png
18 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_multioutput_face_completion_thumb.png
40 Bytes b/‎0.18/_images/sphx_glr_plot_multioutput_face_completion_thumb.png
40 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_out_of_core_classification_002.png
-180 Bytes b/‎0.18/_images/sphx_glr_plot_out_of_core_classification_002.png
-180 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_out_of_core_classification_003.png
-357 Bytes b/‎0.18/_images/sphx_glr_plot_out_of_core_classification_003.png
-357 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_out_of_core_classification_0031.png
-357 Bytes b/‎0.18/_images/sphx_glr_plot_out_of_core_classification_0031.png
-357 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_out_of_core_classification_004.png
-75 Bytes b/‎0.18/_images/sphx_glr_plot_out_of_core_classification_004.png
-75 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_out_of_core_classification_0041.png
-75 Bytes b/‎0.18/_images/sphx_glr_plot_out_of_core_classification_0041.png
-75 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_001.png
-206 Bytes b/‎0.18/_images/sphx_glr_plot_prediction_latency_001.png
-206 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_0011.png
-206 Bytes b/‎0.18/_images/sphx_glr_plot_prediction_latency_0011.png
-206 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_002.png
2.22 KB b/‎0.18/_images/sphx_glr_plot_prediction_latency_002.png
2.22 KB
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_0021.png
2.22 KB b/‎0.18/_images/sphx_glr_plot_prediction_latency_0021.png
2.22 KB
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_003.png
-3.04 KB b/‎0.18/_images/sphx_glr_plot_prediction_latency_003.png
-3.04 KB
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_0031.png
-3.04 KB b/‎0.18/_images/sphx_glr_plot_prediction_latency_0031.png
-3.04 KB
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_004.png
86 Bytes b/‎0.18/_images/sphx_glr_plot_prediction_latency_004.png
86 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_0041.png
86 Bytes b/‎0.18/_images/sphx_glr_plot_prediction_latency_0041.png
86 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_prediction_latency_thumb.png
-95 Bytes b/‎0.18/_images/sphx_glr_plot_prediction_latency_thumb.png
-95 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_sparse_coding_001.png
176 Bytes b/‎0.18/_images/sphx_glr_plot_sparse_coding_001.png
176 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_sparse_coding_thumb.png
-38 Bytes b/‎0.18/_images/sphx_glr_plot_sparse_coding_thumb.png
-38 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_theilsen_001.png
-51 Bytes b/‎0.18/_images/sphx_glr_plot_theilsen_001.png
-51 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_theilsen_0011.png
-51 Bytes b/‎0.18/_images/sphx_glr_plot_theilsen_0011.png
-51 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_theilsen_002.png
-79 Bytes b/‎0.18/_images/sphx_glr_plot_theilsen_002.png
-79 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_theilsen_thumb.png
-36 Bytes b/‎0.18/_images/sphx_glr_plot_theilsen_thumb.png
-36 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_001.png
-258 Bytes b/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_001.png
-258 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_0011.png
-258 Bytes b/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_0011.png
-258 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png
148 Bytes b/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png
148 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_0021.png
148 Bytes b/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_0021.png
148 Bytes
diff --git a/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_thumb.png
-15 Bytes b/‎0.18/_images/sphx_glr_plot_ward_structured_vs_unstructured_thumb.png
-15 Bytes
diff --git a/‎0.18/_sources/auto_examples/applications/plot_model_complexity_influence.txt
Lines changed: 15 additions & 15 deletions b/‎0.18/_sources/auto_examples/applications/plot_model_complexity_influence.txt
Lines changed: 15 additions & 15 deletions
diff --git a/‎0.18/_sources/auto_examples/applications/plot_out_of_core_classification.txt
Lines changed: 29 additions & 29 deletions b/‎0.18/_sources/auto_examples/applications/plot_out_of_core_classification.txt
Lines changed: 29 additions & 29 deletions
diff --git a/‎0.18/_sources/auto_examples/applications/plot_outlier_detection_housing.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/applications/plot_outlier_detection_housing.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/applications/plot_prediction_latency.txt
Lines changed: 2 additions & 2 deletions b/‎0.18/_sources/auto_examples/applications/plot_prediction_latency.txt
Lines changed: 2 additions & 2 deletions
diff --git a/‎0.18/_sources/auto_examples/applications/plot_species_distribution_modeling.txt
Lines changed: 2 additions & 2 deletions b/‎0.18/_sources/auto_examples/applications/plot_species_distribution_modeling.txt
Lines changed: 2 additions & 2 deletions
diff --git a/‎0.18/_sources/auto_examples/applications/plot_stock_market.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/applications/plot_stock_market.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/bicluster/plot_spectral_biclustering.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/bicluster/plot_spectral_biclustering.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/bicluster/plot_spectral_coclustering.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/bicluster/plot_spectral_coclustering.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/calibration/plot_calibration.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/calibration/plot_calibration.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/calibration/plot_calibration_curve.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/calibration/plot_calibration_curve.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/calibration/plot_calibration_multiclass.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/calibration/plot_calibration_multiclass.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/calibration/plot_compare_calibration.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/calibration/plot_compare_calibration.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/classification/plot_classification_probability.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/classification/plot_classification_probability.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/classification/plot_classifier_comparison.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/classification/plot_classifier_comparison.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/classification/plot_digits_classification.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/classification/plot_digits_classification.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/classification/plot_lda.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/classification/plot_lda.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/classification/plot_lda_qda.txt
Lines changed: 1 addition & 1 deletion b/‎0.18/_sources/auto_examples/classification/plot_lda_qda.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎0.18/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.txt
Lines changed: 9 additions & 9 deletions b/‎0.18/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.txt
Lines changed: 9 additions & 9 deletions
@@ -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: 23b2d05764c0f670cc22163af5c32bd2
+config: daca7b4e886bb848243b580a93354fb1
 tags: 645f666f9bcd5a90fca523b33c5a78b7
@@ -223,69 +223,69 @@ main code
            learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
            penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
            verbose=0, warm_start=False)
-    Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.028425s
+    Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.025452s
 
     Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
            eta0=0.0, fit_intercept=True, l1_ratio=0.5, learning_rate='optimal',
            loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
            power_t=0.5, random_state=None, shuffle=True, verbose=0,
            warm_start=False)
-    Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020969s
+    Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.019581s
 
     Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
            eta0=0.0, fit_intercept=True, l1_ratio=0.75,
            learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
            penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
            verbose=0, warm_start=False)
-    Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.016927s
+    Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.015533s
 
     Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
            eta0=0.0, fit_intercept=True, l1_ratio=0.9, learning_rate='optimal',
            loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
            power_t=0.5, random_state=None, shuffle=True, verbose=0,
            warm_start=False)
-    Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015075s
+    Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.013582s
 
     Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
        kernel='rbf', max_iter=-1, nu=0.1, shrinking=True, tol=0.001,
        verbose=False)
-    Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000388s
+    Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000359s
 
     Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
        kernel='rbf', max_iter=-1, nu=0.25, shrinking=True, tol=0.001,
        verbose=False)
-    Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000697s
+    Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000649s
 
     Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
        kernel='rbf', max_iter=-1, nu=0.5, shrinking=True, tol=0.001,
        verbose=False)
-    Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001193s
+    Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001111s
 
     Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
        kernel='rbf', max_iter=-1, nu=0.75, shrinking=True, tol=0.001,
        verbose=False)
-    Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001684s
+    Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001559s
 
     Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
        kernel='rbf', max_iter=-1, nu=0.9, shrinking=True, tol=0.001,
        verbose=False)
-    Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.002029s
+    Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001792s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
                  max_leaf_nodes=None, min_impurity_split=1e-07,
                  min_samples_leaf=1, min_samples_split=2,
                  min_weight_fraction_leaf=0.0, n_estimators=10, presort='auto',
                  random_state=None, subsample=1.0, verbose=0, warm_start=False)
-    Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000117s
+    Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000108s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
                  max_leaf_nodes=None, min_impurity_split=1e-07,
                  min_samples_leaf=1, min_samples_split=2,
                  min_weight_fraction_leaf=0.0, n_estimators=50, presort='auto',
                  random_state=None, subsample=1.0, verbose=0, warm_start=False)
-    Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000204s
+    Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000189s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -294,7 +294,7 @@ main code
                  min_weight_fraction_leaf=0.0, n_estimators=100,
                  presort='auto', random_state=None, subsample=1.0, verbose=0,
                  warm_start=False)
-    Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000290s
+    Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000272s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -303,7 +303,7 @@ main code
                  min_weight_fraction_leaf=0.0, n_estimators=200,
                  presort='auto', random_state=None, subsample=1.0, verbose=0,
                  warm_start=False)
-    Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000459s
+    Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000424s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -312,11 +312,11 @@ main code
                  min_weight_fraction_leaf=0.0, n_estimators=500,
                  presort='auto', random_state=None, subsample=1.0, verbose=0,
                  warm_start=False)
-    Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000997s
+    Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000926s
 
 
 **Total running time of the script:**
-(0 minutes 25.287 seconds)
+(0 minutes 23.928 seconds)
 
 
 
 
@@ -353,46 +353,46 @@ maximum
  Out::
 
       Test set is 878 documents (108 positive)
-      Passive-Aggressive classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.913 in 1.84s (  522 docs/s)
-              Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.921 in 1.85s (  521 docs/s)
-                     SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.925 in 1.85s (  519 docs/s)
-          NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 1.89s (  509 docs/s)
+      Passive-Aggressive classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.913 in 1.72s (  560 docs/s)
+              Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.921 in 1.72s (  559 docs/s)
+                     SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.925 in 1.72s (  557 docs/s)
+          NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 1.76s (  547 docs/s)
 
 
-      Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.946 in 5.60s (  698 docs/s)
-              Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.926 in 5.60s (  697 docs/s)
-                     SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.945 in 5.61s (  697 docs/s)
-          NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 5.64s (  693 docs/s)
+      Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.946 in 5.24s (  746 docs/s)
+              Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.926 in 5.25s (  745 docs/s)
+                     SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.945 in 5.25s (  745 docs/s)
+          NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 5.28s (  740 docs/s)
 
 
-      Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.951 in 9.23s (  739 docs/s)
-              Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.949 in 9.23s (  738 docs/s)
-                     SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.938 in 9.23s (  738 docs/s)
-          NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.899 in 9.27s (  735 docs/s)
+      Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.951 in 8.68s (  785 docs/s)
+              Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.949 in 8.69s (  785 docs/s)
+                     SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.938 in 8.69s (  784 docs/s)
+          NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.899 in 8.72s (  781 docs/s)
 
 
-      Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.964 in 12.97s (  752 docs/s)
-              Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.950 in 12.97s (  752 docs/s)
-                     SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 12.98s (  752 docs/s)
-          NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 13.01s (  750 docs/s)
+      Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.964 in 12.22s (  798 docs/s)
+              Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.950 in 12.22s (  798 docs/s)
+                     SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 12.23s (  798 docs/s)
+          NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 12.26s (  795 docs/s)
 
 
-      Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 16.17s (  722 docs/s)
-              Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 16.17s (  722 docs/s)
-                     SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 16.17s (  722 docs/s)
-          NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.916 in 16.21s (  720 docs/s)
+      Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 15.30s (  763 docs/s)
+              Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 15.30s (  763 docs/s)
+                     SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 15.31s (  763 docs/s)
+          NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.916 in 15.34s (  761 docs/s)
 
 
-      Passive-Aggressive classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.966 in 19.93s (  733 docs/s)
-              Perceptron classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.956 in 19.93s (  733 docs/s)
-                     SGD classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.954 in 19.93s (  733 docs/s)
-          NB Multinomial classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.926 in 19.97s (  732 docs/s)
+      Passive-Aggressive classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.966 in 18.93s (  772 docs/s)
+              Perceptron classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.956 in 18.94s (  772 docs/s)
+                     SGD classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.954 in 18.94s (  772 docs/s)
+          NB Multinomial classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.926 in 18.97s (  770 docs/s)
 
 
-      Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.954 in 23.39s (  742 docs/s)
-              Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.957 in 23.39s (  742 docs/s)
-                     SGD classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.949 in 23.40s (  741 docs/s)
-          NB Multinomial classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.932 in 23.43s (  740 docs/s)
+      Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.954 in 22.18s (  782 docs/s)
+              Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.957 in 22.18s (  782 docs/s)
+                     SGD classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.949 in 22.19s (  782 docs/s)
+          NB Multinomial classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.932 in 22.22s (  781 docs/s)
 
 
 Plot results
@@ -523,7 +523,7 @@ Plot results
 
 
 **Total running time of the script:**
-(0 minutes 25.561 seconds)
+(0 minutes 24.144 seconds)
 
 
 
 
@@ -158,7 +158,7 @@ risk of over-fitting the data.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 4.731 seconds)
+(0 minutes 4.418 seconds)
 
 
 
 
@@ -370,11 +370,11 @@ main code
     benchmarking with 100 features
     benchmarking with 250 features
     benchmarking with 500 features
-    example run in 3.80s
+    example run in 3.59s
 
 
 **Total running time of the script:**
-(0 minutes 3.806 seconds)
+(0 minutes 3.593 seconds)
 
 
 
 
@@ -64,7 +64,7 @@ References
 
      Area under the ROC curve : 0.993919
 
-    time elapsed: 6.82s
+    time elapsed: 6.98s
 
 
 
@@ -247,7 +247,7 @@ References
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 6.825 seconds)
+(0 minutes 6.989 seconds)
 
 
 
 
@@ -335,7 +335,7 @@ Visualization
 
 
 **Total running time of the script:**
-(0 minutes 11.501 seconds)
+(0 minutes 11.227 seconds)
 
 
 
 
@@ -164,7 +164,7 @@ contributed to fewer projections than the central disk.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 9.886 seconds)
+(0 minutes 9.273 seconds)
 
 
 
 
@@ -106,7 +106,7 @@ representation of the checkerboard structure.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 0.870 seconds)
+(0 minutes 0.790 seconds)
 
 
 
 
@@ -93,7 +93,7 @@ the biclusters.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 0.236 seconds)
+(0 minutes 0.218 seconds)
 
 
 
 
@@ -158,7 +158,7 @@ Plot the data and the predicted probabilities
 
 
 **Total running time of the script:**
-(0 minutes 0.284 seconds)
+(0 minutes 0.265 seconds)
 
 
 
 
@@ -214,7 +214,7 @@ but not where it is transposed-sigmoid (e.g., Gaussian naive Bayes).
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 2.280 seconds)
+(0 minutes 2.107 seconds)
 
 
 
 
@@ -204,7 +204,7 @@ would have resulted in a similar decrease in log-loss.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 0.707 seconds)
+(0 minutes 0.659 seconds)
 
 
 
 
@@ -146,7 +146,7 @@ Plot calibration plots
 
 
 **Total running time of the script:**
-(0 minutes 2.616 seconds)
+(0 minutes 2.477 seconds)
 
 
 
 
@@ -113,7 +113,7 @@ a result it can identify only the first class.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 2.581 seconds)
+(0 minutes 2.398 seconds)
 
 
 
 
@@ -153,7 +153,7 @@ set.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 8.017 seconds)
+(0 minutes 8.348 seconds)
 
 
 
 
@@ -120,7 +120,7 @@ This example is commented in the
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 0.792 seconds)
+(0 minutes 0.741 seconds)
 
 
 
 
@@ -86,7 +86,7 @@ Shows how shrinkage improves classification.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 6.121 seconds)
+(0 minutes 5.799 seconds)
 
 
 
 
@@ -197,7 +197,7 @@ plot functions
 
 
 **Total running time of the script:**
-(0 minutes 0.417 seconds)
+(0 minutes 0.391 seconds)
 
 
 
 
@@ -45,21 +45,21 @@ value of k on various overlapping sub-samples of the dataset.
  Out::
 
       Computing adjusted_rand_score for 10 values of n_clusters and n_samples=100
-    done in 0.043s
+    done in 0.040s
     Computing v_measure_score for 10 values of n_clusters and n_samples=100
-    done in 0.063s
+    done in 0.060s
     Computing adjusted_mutual_info_score for 10 values of n_clusters and n_samples=100
-    done in 0.475s
+    done in 0.436s
     Computing mutual_info_score for 10 values of n_clusters and n_samples=100
-    done in 0.053s
+    done in 0.050s
     Computing adjusted_rand_score for 10 values of n_clusters and n_samples=1000
-    done in 0.066s
+    done in 0.062s
     Computing v_measure_score for 10 values of n_clusters and n_samples=1000
-    done in 0.085s
+    done in 0.079s
     Computing adjusted_mutual_info_score for 10 values of n_clusters and n_samples=1000
-    done in 0.302s
+    done in 0.283s
     Computing mutual_info_score for 10 values of n_clusters and n_samples=1000
-    done in 0.069s
+    done in 0.065s
 
 
 
@@ -171,7 +171,7 @@ value of k on various overlapping sub-samples of the dataset.
     plt.show()
 
 **Total running time of the script:**
-(0 minutes 1.392 seconds)
+(0 minutes 1.299 seconds)
Original file line number	Diff line number	Diff line change
`@@ -335,7 +335,7 @@ Visualization`
`335`	`335`
`336`	`336`
`337`	`337`	`Total running time of the script:`
`338`		`-(0 minutes 11.501 seconds)`
	`338`	`+(0 minutes 11.227 seconds)`
`339`	`339`
`340`	`340`
`341`	`341`
Original file line number	Diff line number	Diff line change
`@@ -158,7 +158,7 @@ Plot the data and the predicted probabilities`
`158`	`158`
`159`	`159`
`160`	`160`	`Total running time of the script:`
`161`		`-(0 minutes 0.284 seconds)`
	`161`	`+(0 minutes 0.265 seconds)`
`162`	`162`
`163`	`163`
`164`	`164`
Original file line number	Diff line number	Diff line change
`@@ -146,7 +146,7 @@ Plot calibration plots`
`146`	`146`
`147`	`147`
`148`	`148`	`Total running time of the script:`
`149`		`-(0 minutes 2.616 seconds)`
	`149`	`+(0 minutes 2.477 seconds)`
`150`	`150`
`151`	`151`
`152`	`152`
Original file line number	Diff line number	Diff line change
`@@ -197,7 +197,7 @@ plot functions`
`197`	`197`
`198`	`198`
`199`	`199`	`Total running time of the script:`
`200`		`-(0 minutes 0.417 seconds)`
	`200`	`+(0 minutes 0.391 seconds)`
`201`	`201`
`202`	`202`
`203`	`203`