Emaasit
diff --git a/‎dev/_downloads/auto_examples_jupyter.zip
0 Bytes b/‎dev/_downloads/auto_examples_jupyter.zip
0 Bytes
diff --git a/‎dev/_downloads/auto_examples_python.zip
0 Bytes b/‎dev/_downloads/auto_examples_python.zip
0 Bytes
diff --git a/‎dev/_downloads/scikit-learn-docs.pdf
-9.65 KB b/‎dev/_downloads/scikit-learn-docs.pdf
-9.65 KB
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_001.png
-73 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_001.png
-73 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0011.png
-73 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0011.png
-73 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_002.png
34 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_002.png
34 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0021.png
34 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0021.png
34 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_003.png
-82 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_003.png
-82 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0031.png
-82 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0031.png
-82 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_004.png
-60 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_004.png
-60 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0041.png
-60 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_0041.png
-60 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png
-5 Bytes b/‎dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png
-5 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_001.png
-562 Bytes b/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_001.png
-562 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0011.png
-562 Bytes b/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0011.png
-562 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_002.png
-124 Bytes b/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_002.png
-124 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0021.png
-124 Bytes b/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0021.png
-124 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_thumb.png
-179 Bytes b/‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_thumb.png
-179 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_cluster_comparison_001.png
630 Bytes b/‎dev/_images/sphx_glr_plot_cluster_comparison_001.png
630 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_cluster_comparison_0011.png
630 Bytes b/‎dev/_images/sphx_glr_plot_cluster_comparison_0011.png
630 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_cluster_comparison_thumb.png
-9 Bytes b/‎dev/_images/sphx_glr_plot_cluster_comparison_thumb.png
-9 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_compare_methods_001.png
592 Bytes b/‎dev/_images/sphx_glr_plot_compare_methods_001.png
592 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_compare_methods_0011.png
592 Bytes b/‎dev/_images/sphx_glr_plot_compare_methods_0011.png
592 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_compare_methods_001_carousel.png
15 Bytes b/‎dev/_images/sphx_glr_plot_compare_methods_001_carousel.png
15 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_compare_methods_thumb.png
-33 Bytes b/‎dev/_images/sphx_glr_plot_compare_methods_thumb.png
-33 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_compare_methods_thumb1.png
-33 Bytes b/‎dev/_images/sphx_glr_plot_compare_methods_thumb1.png
-33 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_compare_reduction_001.png
25 Bytes b/‎dev/_images/sphx_glr_plot_compare_reduction_001.png
25 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_compare_reduction_thumb.png
-10 Bytes b/‎dev/_images/sphx_glr_plot_compare_reduction_thumb.png
-10 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_dict_face_patches_001.png
23 Bytes b/‎dev/_images/sphx_glr_plot_dict_face_patches_001.png
23 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_dict_face_patches_0011.png
23 Bytes b/‎dev/_images/sphx_glr_plot_dict_face_patches_0011.png
23 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_dict_face_patches_thumb.png
90 Bytes b/‎dev/_images/sphx_glr_plot_dict_face_patches_thumb.png
90 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_face_segmentation_001.png
-15 Bytes b/‎dev/_images/sphx_glr_plot_face_segmentation_001.png
-15 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_face_segmentation_0011.png
-15 Bytes b/‎dev/_images/sphx_glr_plot_face_segmentation_0011.png
-15 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_face_segmentation_002.png
323 Bytes b/‎dev/_images/sphx_glr_plot_face_segmentation_002.png
323 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_face_segmentation_0021.png
323 Bytes b/‎dev/_images/sphx_glr_plot_face_segmentation_0021.png
323 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_face_segmentation_thumb.png
54 Bytes b/‎dev/_images/sphx_glr_plot_face_segmentation_thumb.png
54 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_003.png
172 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_003.png
172 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_0031.png
172 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_0031.png
172 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_004.png
-366 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_004.png
-366 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_0041.png
-366 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_0041.png
-366 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_005.png
46 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_005.png
46 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_0051.png
46 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_0051.png
46 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_006.png
-324 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_006.png
-324 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_faces_decomposition_0061.png
-324 Bytes b/‎dev/_images/sphx_glr_plot_faces_decomposition_0061.png
-324 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_image_denoising_001.png
166 Bytes b/‎dev/_images/sphx_glr_plot_image_denoising_001.png
166 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_image_denoising_0011.png
166 Bytes b/‎dev/_images/sphx_glr_plot_image_denoising_0011.png
166 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_image_denoising_003.png
-2 Bytes b/‎dev/_images/sphx_glr_plot_image_denoising_003.png
-2 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_image_denoising_004.png
-315 Bytes b/‎dev/_images/sphx_glr_plot_image_denoising_004.png
-315 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_image_denoising_005.png
-73 Bytes b/‎dev/_images/sphx_glr_plot_image_denoising_005.png
-73 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_image_denoising_006.png
-306 Bytes b/‎dev/_images/sphx_glr_plot_image_denoising_006.png
-306 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_image_denoising_thumb.png
117 Bytes b/‎dev/_images/sphx_glr_plot_image_denoising_thumb.png
117 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_003.png
5.39 KB b/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_003.png
5.39 KB
diff --git a/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_004.png
24 Bytes b/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_004.png
24 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_005.png
2.25 KB b/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_005.png
2.25 KB
diff --git a/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_006.png
-494 Bytes b/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_006.png
-494 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_007.png
-1.35 KB b/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_007.png
-1.35 KB
diff --git a/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_008.png
-1.66 KB b/‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_008.png
-1.66 KB
diff --git a/‎dev/_images/sphx_glr_plot_kernel_approximation_001.png
1.4 KB b/‎dev/_images/sphx_glr_plot_kernel_approximation_001.png
1.4 KB
diff --git a/‎dev/_images/sphx_glr_plot_kernel_approximation_002.png
-39 Bytes b/‎dev/_images/sphx_glr_plot_kernel_approximation_002.png
-39 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_kernel_approximation_0021.png
-39 Bytes b/‎dev/_images/sphx_glr_plot_kernel_approximation_0021.png
-39 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_kernel_approximation_thumb.png
385 Bytes b/‎dev/_images/sphx_glr_plot_kernel_approximation_thumb.png
385 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png
663 Bytes b/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png
663 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0011.png
663 Bytes b/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0011.png
663 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png
136 Bytes b/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png
136 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0021.png
136 Bytes b/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0021.png
136 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png
117 Bytes b/‎dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png
117 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lasso_model_selection_001.png
-259 Bytes b/‎dev/_images/sphx_glr_plot_lasso_model_selection_001.png
-259 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lasso_model_selection_0011.png
-259 Bytes b/‎dev/_images/sphx_glr_plot_lasso_model_selection_0011.png
-259 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lasso_model_selection_002.png
188 Bytes b/‎dev/_images/sphx_glr_plot_lasso_model_selection_002.png
188 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lasso_model_selection_0021.png
188 Bytes b/‎dev/_images/sphx_glr_plot_lasso_model_selection_0021.png
188 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lasso_model_selection_003.png
140 Bytes b/‎dev/_images/sphx_glr_plot_lasso_model_selection_003.png
140 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lasso_model_selection_0031.png
140 Bytes b/‎dev/_images/sphx_glr_plot_lasso_model_selection_0031.png
140 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lasso_model_selection_thumb.png
-42 Bytes b/‎dev/_images/sphx_glr_plot_lasso_model_selection_thumb.png
-42 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_005.png
-165 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_005.png
-165 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_0051.png
-165 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_0051.png
-165 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_006.png
170 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_006.png
170 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_0061.png
170 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_0061.png
170 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_007.png
-178 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_007.png
-178 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_0071.png
-178 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_0071.png
-178 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_008.png
50 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_008.png
50 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_0081.png
50 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_0081.png
50 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_009.png
6 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_009.png
6 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_0091.png
6 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_0091.png
6 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_010.png
-14 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_010.png
-14 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_0101.png
-14 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_0101.png
-14 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_011.png
16 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_011.png
16 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_012.png
196 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_012.png
196 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_013.png
-76 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_013.png
-76 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_lle_digits_0131.png
-76 Bytes b/‎dev/_images/sphx_glr_plot_lle_digits_0131.png
-76 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_manifold_sphere_001.png
486 Bytes b/‎dev/_images/sphx_glr_plot_manifold_sphere_001.png
486 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_manifold_sphere_thumb.png
24 Bytes b/‎dev/_images/sphx_glr_plot_manifold_sphere_thumb.png
24 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_mini_batch_kmeans_001.png
-347 Bytes b/‎dev/_images/sphx_glr_plot_mini_batch_kmeans_001.png
-347 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_mini_batch_kmeans_0011.png
-347 Bytes b/‎dev/_images/sphx_glr_plot_mini_batch_kmeans_0011.png
-347 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_mini_batch_kmeans_thumb.png
0 Bytes b/‎dev/_images/sphx_glr_plot_mini_batch_kmeans_thumb.png
0 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_model_complexity_influence_001.png
-140 Bytes b/‎dev/_images/sphx_glr_plot_model_complexity_influence_001.png
-140 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_model_complexity_influence_0011.png
-140 Bytes b/‎dev/_images/sphx_glr_plot_model_complexity_influence_0011.png
-140 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_model_complexity_influence_002.png
-428 Bytes b/‎dev/_images/sphx_glr_plot_model_complexity_influence_002.png
-428 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_model_complexity_influence_0021.png
-428 Bytes b/‎dev/_images/sphx_glr_plot_model_complexity_influence_0021.png
-428 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_model_complexity_influence_003.png
-4.31 KB b/‎dev/_images/sphx_glr_plot_model_complexity_influence_003.png
-4.31 KB
diff --git a/‎dev/_images/sphx_glr_plot_model_complexity_influence_0031.png
-4.31 KB b/‎dev/_images/sphx_glr_plot_model_complexity_influence_0031.png
-4.31 KB
diff --git a/‎dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png
156 Bytes b/‎dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png
156 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_multioutput_face_completion_001.png
18 Bytes b/‎dev/_images/sphx_glr_plot_multioutput_face_completion_001.png
18 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_multioutput_face_completion_0011.png
18 Bytes b/‎dev/_images/sphx_glr_plot_multioutput_face_completion_0011.png
18 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_multioutput_face_completion_thumb.png
40 Bytes b/‎dev/_images/sphx_glr_plot_multioutput_face_completion_thumb.png
40 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_out_of_core_classification_002.png
642 Bytes b/‎dev/_images/sphx_glr_plot_out_of_core_classification_002.png
642 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_out_of_core_classification_003.png
968 Bytes b/‎dev/_images/sphx_glr_plot_out_of_core_classification_003.png
968 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_out_of_core_classification_0031.png
968 Bytes b/‎dev/_images/sphx_glr_plot_out_of_core_classification_0031.png
968 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_out_of_core_classification_004.png
484 Bytes b/‎dev/_images/sphx_glr_plot_out_of_core_classification_004.png
484 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_out_of_core_classification_0041.png
484 Bytes b/‎dev/_images/sphx_glr_plot_out_of_core_classification_0041.png
484 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_001.png
-2.76 KB b/‎dev/_images/sphx_glr_plot_prediction_latency_001.png
-2.76 KB
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_0011.png
-2.76 KB b/‎dev/_images/sphx_glr_plot_prediction_latency_0011.png
-2.76 KB
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_002.png
-48 Bytes b/‎dev/_images/sphx_glr_plot_prediction_latency_002.png
-48 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_0021.png
-48 Bytes b/‎dev/_images/sphx_glr_plot_prediction_latency_0021.png
-48 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_003.png
-3.17 KB b/‎dev/_images/sphx_glr_plot_prediction_latency_003.png
-3.17 KB
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_0031.png
-3.17 KB b/‎dev/_images/sphx_glr_plot_prediction_latency_0031.png
-3.17 KB
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_004.png
-104 Bytes b/‎dev/_images/sphx_glr_plot_prediction_latency_004.png
-104 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_0041.png
-104 Bytes b/‎dev/_images/sphx_glr_plot_prediction_latency_0041.png
-104 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_prediction_latency_thumb.png
-1.26 KB b/‎dev/_images/sphx_glr_plot_prediction_latency_thumb.png
-1.26 KB
diff --git a/‎dev/_images/sphx_glr_plot_theilsen_001.png
161 Bytes b/‎dev/_images/sphx_glr_plot_theilsen_001.png
161 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_theilsen_0011.png
161 Bytes b/‎dev/_images/sphx_glr_plot_theilsen_0011.png
161 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_theilsen_002.png
-55 Bytes b/‎dev/_images/sphx_glr_plot_theilsen_002.png
-55 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_theilsen_thumb.png
-5 Bytes b/‎dev/_images/sphx_glr_plot_theilsen_thumb.png
-5 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png
-165 Bytes b/‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png
-165 Bytes
diff --git a/‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_0021.png
-165 Bytes b/‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_0021.png
-165 Bytes
diff --git a/‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt
Lines changed: 15 additions & 15 deletions b/‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt
Lines changed: 15 additions & 15 deletions
diff --git a/‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt
Lines changed: 29 additions & 29 deletions b/‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt
Lines changed: 29 additions & 29 deletions
diff --git a/‎dev/_sources/auto_examples/applications/plot_outlier_detection_housing.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/applications/plot_outlier_detection_housing.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/applications/plot_prediction_latency.txt
Lines changed: 2 additions & 2 deletions b/‎dev/_sources/auto_examples/applications/plot_prediction_latency.txt
Lines changed: 2 additions & 2 deletions
diff --git a/‎dev/_sources/auto_examples/applications/plot_species_distribution_modeling.txt
Lines changed: 2 additions & 2 deletions b/‎dev/_sources/auto_examples/applications/plot_species_distribution_modeling.txt
Lines changed: 2 additions & 2 deletions
diff --git a/‎dev/_sources/auto_examples/applications/plot_stock_market.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/applications/plot_stock_market.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/bicluster/plot_spectral_coclustering.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/bicluster/plot_spectral_coclustering.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/calibration/plot_calibration.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/calibration/plot_calibration.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/calibration/plot_calibration_curve.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/calibration/plot_calibration_curve.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/calibration/plot_calibration_multiclass.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/calibration/plot_calibration_multiclass.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/calibration/plot_compare_calibration.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/calibration/plot_compare_calibration.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/classification/plot_classification_probability.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/classification/plot_classification_probability.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/classification/plot_classifier_comparison.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/classification/plot_classifier_comparison.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/classification/plot_digits_classification.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/classification/plot_digits_classification.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/classification/plot_lda.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/classification/plot_lda.txt
Lines changed: 1 addition & 1 deletion
diff --git a/‎dev/_sources/auto_examples/classification/plot_lda_qda.txt
Lines changed: 1 addition & 1 deletion b/‎dev/_sources/auto_examples/classification/plot_lda_qda.txt
Lines changed: 1 addition & 1 deletion
@@ -226,69 +226,69 @@ 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: 0.026848s
+    Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.027996s
 
     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: 0.020369s
+    Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020397s
 
     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: 0.016696s
+    Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.017002s
 
     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: 0.015404s
+    Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015065s
 
     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: 0.000369s
+    Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000387s
 
     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: 0.000648s
+    Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000697s
 
     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: 0.001108s
+    Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001188s
 
     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: 0.001575s
+    Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001677s
 
     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: 0.001806s
+    Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001931s
 
     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: 0.000113s
+    Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000119s
 
     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: 0.000201s
+    Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000207s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -297,7 +297,7 @@ 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: 0.000284s
+    Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000301s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -306,7 +306,7 @@ 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: 0.000452s
+    Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000478s
 
     Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
                  learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -315,10 +315,10 @@ 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: 0.000990s
+    Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.001047s
 
 
-**Total running time of the script:** ( 0 minutes  24.372 seconds)
+**Total running time of the script:** ( 0 minutes  25.398 seconds)
 
 
 
 
@@ -356,46 +356,46 @@ 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 1.63s (  588 docs/s)
-              Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.921 in 1.64s (  587 docs/s)
-                     SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.925 in 1.64s (  585 docs/s)
-          NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 1.68s (  573 docs/s)
+      Passive-Aggressive classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.913 in 1.74s (  554 docs/s)
+              Perceptron classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.921 in 1.74s (  552 docs/s)
+                     SGD classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.925 in 1.75s (  551 docs/s)
+          NB Multinomial classifier :          962 train docs (   132 positive)    878 test docs (   108 positive) accuracy: 0.877 in 1.78s (  540 docs/s)
 
 
-      Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.946 in 4.78s (  817 docs/s)
-              Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.926 in 4.79s (  817 docs/s)
-                     SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.945 in 4.79s (  816 docs/s)
-          NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 4.83s (  810 docs/s)
+      Passive-Aggressive classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.946 in 5.05s (  774 docs/s)
+              Perceptron classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.926 in 5.06s (  773 docs/s)
+                     SGD classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.945 in 5.06s (  772 docs/s)
+          NB Multinomial classifier :         3911 train docs (   517 positive)    878 test docs (   108 positive) accuracy: 0.885 in 5.10s (  767 docs/s)
 
 
-      Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.951 in 7.90s (  863 docs/s)
-              Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.949 in 7.91s (  862 docs/s)
-                     SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.938 in 7.91s (  862 docs/s)
-          NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.899 in 7.95s (  858 docs/s)
+      Passive-Aggressive classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.951 in 8.38s (  814 docs/s)
+              Perceptron classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.949 in 8.38s (  813 docs/s)
+                     SGD classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.938 in 8.38s (  813 docs/s)
+          NB Multinomial classifier :         6821 train docs (   891 positive)    878 test docs (   108 positive) accuracy: 0.899 in 8.42s (  810 docs/s)
 
 
-      Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.964 in 11.15s (  875 docs/s)
-              Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.950 in 11.15s (  875 docs/s)
-                     SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 11.16s (  874 docs/s)
-          NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 11.19s (  872 docs/s)
+      Passive-Aggressive classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.964 in 11.73s (  831 docs/s)
+              Perceptron classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.950 in 11.74s (  831 docs/s)
+                     SGD classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.958 in 11.74s (  831 docs/s)
+          NB Multinomial classifier :         9759 train docs (  1276 positive)    878 test docs (   108 positive) accuracy: 0.909 in 11.78s (  828 docs/s)
 
 
-      Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 14.02s (  833 docs/s)
-              Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 14.02s (  832 docs/s)
-                     SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 14.03s (  832 docs/s)
-          NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.916 in 14.06s (  830 docs/s)
+      Passive-Aggressive classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 14.76s (  791 docs/s)
+              Perceptron classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 14.76s (  791 docs/s)
+                     SGD classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.951 in 14.76s (  791 docs/s)
+          NB Multinomial classifier :        11680 train docs (  1499 positive)    878 test docs (   108 positive) accuracy: 0.916 in 14.80s (  789 docs/s)
 
 
-      Passive-Aggressive classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.966 in 17.26s (  847 docs/s)
-              Perceptron classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.956 in 17.26s (  847 docs/s)
-                     SGD classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.954 in 17.27s (  847 docs/s)
-          NB Multinomial classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.926 in 17.30s (  845 docs/s)
+      Passive-Aggressive classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.966 in 18.13s (  806 docs/s)
+              Perceptron classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.956 in 18.13s (  806 docs/s)
+                     SGD classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.954 in 18.14s (  806 docs/s)
+          NB Multinomial classifier :        14625 train docs (  1865 positive)    878 test docs (   108 positive) accuracy: 0.926 in 18.17s (  804 docs/s)
 
 
-      Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.954 in 20.16s (  861 docs/s)
-              Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.957 in 20.16s (  860 docs/s)
-                     SGD classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.949 in 20.17s (  860 docs/s)
-          NB Multinomial classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.932 in 20.20s (  859 docs/s)
+      Passive-Aggressive classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.954 in 21.29s (  815 docs/s)
+              Perceptron classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.957 in 21.29s (  815 docs/s)
+                     SGD classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.949 in 21.30s (  815 docs/s)
+          NB Multinomial classifier :        17360 train docs (  2179 positive)    878 test docs (   108 positive) accuracy: 0.932 in 21.33s (  813 docs/s)
 
 
 Plot results
@@ -526,7 +526,7 @@ Plot results
 
 
 
-**Total running time of the script:** ( 0 minutes  22.056 seconds)
+**Total running time of the script:** ( 0 minutes  23.267 seconds)
 
 
 
 
@@ -158,7 +158,7 @@ risk of over-fitting the data.
 
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  4.387 seconds)
+**Total running time of the script:** ( 0 minutes  4.703 seconds)
 
 
 
 
@@ -372,10 +372,10 @@ main code
     benchmarking with 100 features
     benchmarking with 250 features
     benchmarking with 500 features
-    example run in 3.75s
+    example run in 3.85s
 
 
-**Total running time of the script:** ( 0 minutes  3.756 seconds)
+**Total running time of the script:** ( 0 minutes  3.857 seconds)
 
 
 
 
@@ -65,7 +65,7 @@ References
 
      Area under the ROC curve : 0.993919
 
-    time elapsed: 6.40s
+    time elapsed: 6.83s
 
 
 
@@ -247,7 +247,7 @@ References
     plot_species_distribution()
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  6.397 seconds)
+**Total running time of the script:** ( 0 minutes  6.833 seconds)
 
 
 
 
@@ -340,7 +340,7 @@ Visualization
 
 
 
-**Total running time of the script:** ( 0 minutes  11.429 seconds)
+**Total running time of the script:** ( 0 minutes  11.658 seconds)
 
 
 
 
@@ -164,7 +164,7 @@ contributed to fewer projections than the central disk.
 
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  9.302 seconds)
+**Total running time of the script:** ( 0 minutes  9.971 seconds)
 
 
 
 
@@ -106,7 +106,7 @@ representation of the checkerboard structure.
 
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  0.884 seconds)
+**Total running time of the script:** ( 0 minutes  0.937 seconds)
 
 
 
 
@@ -93,7 +93,7 @@ the biclusters.
 
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  0.225 seconds)
+**Total running time of the script:** ( 0 minutes  0.244 seconds)
 
 
 
 
@@ -159,7 +159,7 @@ Plot the data and the predicted probabilities
 
 
 
-**Total running time of the script:** ( 0 minutes  0.262 seconds)
+**Total running time of the script:** ( 0 minutes  0.285 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  2.148 seconds)
+**Total running time of the script:** ( 0 minutes  2.258 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  0.664 seconds)
+**Total running time of the script:** ( 0 minutes  0.718 seconds)
 
 
 
 
@@ -147,7 +147,7 @@ Plot calibration plots
 
 
 
-**Total running time of the script:** ( 0 minutes  2.533 seconds)
+**Total running time of the script:** ( 0 minutes  2.660 seconds)
 
 
 
 
@@ -113,7 +113,7 @@ a result it can identify only the first class.
 
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  2.475 seconds)
+**Total running time of the script:** ( 0 minutes  2.577 seconds)
 
 
 
 
@@ -153,7 +153,7 @@ set.
     plt.tight_layout()
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  7.659 seconds)
+**Total running time of the script:** ( 0 minutes  8.073 seconds)
 
 
 
 
@@ -120,7 +120,7 @@ This example is commented in the
 
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  0.758 seconds)
+**Total running time of the script:** ( 0 minutes  0.808 seconds)
 
 
 
 
@@ -86,7 +86,7 @@ Shows how shrinkage improves classification.
     shrinkage Linear Discriminant Analysis (1 discriminative feature)')
     plt.show()
 
-**Total running time of the script:** ( 0 minutes  5.913 seconds)
+**Total running time of the script:** ( 0 minutes  6.235 seconds)
 
 
 
 
@@ -204,7 +204,7 @@ plot functions
 
 
 
-**Total running time of the script:** ( 0 minutes  0.392 seconds)
+**Total running time of the script:** ( 0 minutes  0.435 seconds)
Original file line number	Diff line number	Diff line change
`@@ -158,7 +158,7 @@ risk of over-fitting the data.`
`158`	`158`
`159`	`159`	`plt.show()`
`160`	`160`
`161`		`-Total running time of the script: ( 0 minutes 4.387 seconds)`
	`161`	`+Total running time of the script: ( 0 minutes 4.703 seconds)`
`162`	`162`
`163`	`163`
`164`	`164`
Original file line number	Diff line number	Diff line change
`@@ -340,7 +340,7 @@ Visualization`
`340`	`340`
`341`	`341`
`342`	`342`
`343`		`-Total running time of the script: ( 0 minutes 11.429 seconds)`
	`343`	`+Total running time of the script: ( 0 minutes 11.658 seconds)`
`344`	`344`
`345`	`345`
`346`	`346`
Original file line number	Diff line number	Diff line change
`@@ -164,7 +164,7 @@ contributed to fewer projections than the central disk.`
`164`	`164`
`165`	`165`	`plt.show()`
`166`	`166`
`167`		`-Total running time of the script: ( 0 minutes 9.302 seconds)`
	`167`	`+Total running time of the script: ( 0 minutes 9.971 seconds)`
`168`	`168`
`169`	`169`
`170`	`170`
Original file line number	Diff line number	Diff line change
`@@ -106,7 +106,7 @@ representation of the checkerboard structure.`
`106`	`106`
`107`	`107`	`plt.show()`
`108`	`108`
`109`		`-Total running time of the script: ( 0 minutes 0.884 seconds)`
	`109`	`+Total running time of the script: ( 0 minutes 0.937 seconds)`
`110`	`110`
`111`	`111`
`112`	`112`
Original file line number	Diff line number	Diff line change
`@@ -93,7 +93,7 @@ the biclusters.`
`93`	`93`
`94`	`94`	`plt.show()`
`95`	`95`
`96`		`-Total running time of the script: ( 0 minutes 0.225 seconds)`
	`96`	`+Total running time of the script: ( 0 minutes 0.244 seconds)`
`97`	`97`
`98`	`98`
`99`	`99`
Original file line number	Diff line number	Diff line change
`@@ -159,7 +159,7 @@ Plot the data and the predicted probabilities`
`159`	`159`
`160`	`160`
`161`	`161`
`162`		`-Total running time of the script: ( 0 minutes 0.262 seconds)`
	`162`	`+Total running time of the script: ( 0 minutes 0.285 seconds)`
`163`	`163`
`164`	`164`
`165`	`165`
Original file line number	Diff line number	Diff line change
`@@ -214,7 +214,7 @@ but not where it is transposed-sigmoid (e.g., Gaussian naive Bayes).`
`214`	`214`
`215`	`215`	`plt.show()`
`216`	`216`
`217`		`-Total running time of the script: ( 0 minutes 2.148 seconds)`
	`217`	`+Total running time of the script: ( 0 minutes 2.258 seconds)`
`218`	`218`
`219`	`219`
`220`	`220`
Original file line number	Diff line number	Diff line change
`@@ -204,7 +204,7 @@ would have resulted in a similar decrease in log-loss.`
`204`	`204`
`205`	`205`	`plt.show()`
`206`	`206`
`207`		`-Total running time of the script: ( 0 minutes 0.664 seconds)`
	`207`	`+Total running time of the script: ( 0 minutes 0.718 seconds)`
`208`	`208`
`209`	`209`
`210`	`210`
Original file line number	Diff line number	Diff line change
`@@ -147,7 +147,7 @@ Plot calibration plots`
`147`	`147`
`148`	`148`
`149`	`149`
`150`		`-Total running time of the script: ( 0 minutes 2.533 seconds)`
	`150`	`+Total running time of the script: ( 0 minutes 2.660 seconds)`
`151`	`151`
`152`	`152`
`153`	`153`
Original file line number	Diff line number	Diff line change
`@@ -113,7 +113,7 @@ a result it can identify only the first class.`
`113`	`113`
`114`	`114`	`plt.show()`
`115`	`115`
`116`		`-Total running time of the script: ( 0 minutes 2.475 seconds)`
	`116`	`+Total running time of the script: ( 0 minutes 2.577 seconds)`
`117`	`117`
`118`	`118`
`119`	`119`