Skip to content

Commit 09a1070

Browse files
sklearn-cisklearn-ci
committed
Pushing the docs for revision for branch: master, commit 941921fc6b27a7ad727b91c67a3d00391d8a45c7
1 parent 4ca02f9 commit 09a1070

File tree

899 files changed

+2568
-2568
lines changed

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

899 files changed

+2568
-2568
lines changed

‎dev/_images/sphx_glr_plot_agglomerative_clustering_001.png

42 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0011.png

42 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_002.png

136 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0021.png

136 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_003.png

-310 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0031.png

-310 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_004.png

-91 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0041.png

-91 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png

10 Bytes

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_001.png

-2.23 KB

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0011.png

-2.23 KB

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_002.png

1.35 KB

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0021.png

1.35 KB

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_thumb.png

-1.72 KB

‎dev/_images/sphx_glr_plot_cluster_comparison_001.png

-949 Bytes

‎dev/_images/sphx_glr_plot_cluster_comparison_0011.png

-949 Bytes

‎dev/_images/sphx_glr_plot_cluster_comparison_thumb.png

-5 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_001.png

200 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_0011.png

200 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_001_carousel.png

26 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_thumb.png

24 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_thumb1.png

24 Bytes

‎dev/_images/sphx_glr_plot_compare_reduction_001.png

-107 Bytes

‎dev/_images/sphx_glr_plot_compare_reduction_thumb.png

-40 Bytes

‎dev/_images/sphx_glr_plot_dict_face_patches_001.png

49 Bytes

‎dev/_images/sphx_glr_plot_dict_face_patches_0011.png

49 Bytes

‎dev/_images/sphx_glr_plot_dict_face_patches_thumb.png

33 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_001.png

-1 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_0011.png

-1 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_002.png

115 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_0021.png

115 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_thumb.png

-48 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_004.png

-565 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_0041.png

-565 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_005.png

46 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_0051.png

46 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_009.png

174 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_0091.png

174 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_001.png

38 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_0011.png

38 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_003.png

271 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_004.png

-200 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_005.png

-234 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_006.png

42 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_thumb.png

94 Bytes

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_003.png

7.8 KB

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_004.png

4.31 KB

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_005.png

3.95 KB

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_006.png

746 Bytes

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_007.png

-2.81 KB

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_008.png

-1.09 KB

‎dev/_images/sphx_glr_plot_kernel_approximation_001.png

-42 Bytes

‎dev/_images/sphx_glr_plot_kernel_approximation_002.png

-1 Bytes

‎dev/_images/sphx_glr_plot_kernel_approximation_0021.png

-1 Bytes

‎dev/_images/sphx_glr_plot_kernel_approximation_thumb.png

-80 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png

-25 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0011.png

-25 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png

-631 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0021.png

-631 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png

7 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_002.png

179 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_0021.png

179 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_003.png

-196 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_0031.png

-196 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_005.png

107 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0051.png

107 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_006.png

4 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0061.png

4 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_007.png

-492 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0071.png

-492 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_008.png

-183 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0081.png

-183 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_009.png

-188 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0091.png

-188 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_010.png

-138 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0101.png

-138 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_011.png

177 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_012.png

-268 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_013.png

30 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0131.png

30 Bytes

‎dev/_images/sphx_glr_plot_manifold_sphere_001.png

664 Bytes

‎dev/_images/sphx_glr_plot_manifold_sphere_thumb.png

-27 Bytes

‎dev/_images/sphx_glr_plot_model_complexity_influence_001.png

43 Bytes

‎dev/_images/sphx_glr_plot_model_complexity_influence_0011.png

43 Bytes

‎dev/_images/sphx_glr_plot_model_complexity_influence_002.png

1.56 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_0021.png

1.56 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_003.png

9 Bytes

‎dev/_images/sphx_glr_plot_model_complexity_influence_0031.png

9 Bytes

‎dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png

46 Bytes

‎dev/_images/sphx_glr_plot_multioutput_face_completion_001.png

-1 Bytes

‎dev/_images/sphx_glr_plot_multioutput_face_completion_0011.png

-1 Bytes

‎dev/_images/sphx_glr_plot_multioutput_face_completion_thumb.png

-3 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_002.png

901 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_003.png

-424 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_0031.png

-424 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_004.png

-40 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_0041.png

-40 Bytes

‎dev/_images/sphx_glr_plot_prediction_latency_001.png

-25 Bytes

‎dev/_images/sphx_glr_plot_prediction_latency_0011.png

-25 Bytes

‎dev/_images/sphx_glr_plot_prediction_latency_002.png

186 Bytes

‎dev/_images/sphx_glr_plot_prediction_latency_0021.png

186 Bytes

‎dev/_images/sphx_glr_plot_prediction_latency_003.png

5.7 KB

‎dev/_images/sphx_glr_plot_prediction_latency_0031.png

5.7 KB

‎dev/_images/sphx_glr_plot_prediction_latency_004.png

1.54 KB

‎dev/_images/sphx_glr_plot_prediction_latency_0041.png

1.54 KB

‎dev/_images/sphx_glr_plot_prediction_latency_thumb.png

-29 Bytes

‎dev/_images/sphx_glr_plot_theilsen_001.png

16 Bytes

‎dev/_images/sphx_glr_plot_theilsen_0011.png

16 Bytes

‎dev/_images/sphx_glr_plot_theilsen_002.png

37 Bytes

‎dev/_images/sphx_glr_plot_theilsen_thumb.png

16 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_001.png

258 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_0011.png

258 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png

59 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_0021.png

59 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_thumb.png

17 Bytes

‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt

Lines changed: 14 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -223,53 +223,53 @@ main code
223223
learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
224224
penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
225225
verbose=0, warm_start=False)
226-
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.027110s
226+
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.027839s
227227

228228
Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
229229
eta0=0.0, fit_intercept=True, l1_ratio=0.5, learning_rate='optimal',
230230
loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
231231
power_t=0.5, random_state=None, shuffle=True, verbose=0,
232232
warm_start=False)
233-
Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020222s
233+
Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020501s
234234

235235
Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
236236
eta0=0.0, fit_intercept=True, l1_ratio=0.75,
237237
learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
238238
penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
239239
verbose=0, warm_start=False)
240-
Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.016166s
240+
Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.017248s
241241

242242
Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
243243
eta0=0.0, fit_intercept=True, l1_ratio=0.9, learning_rate='optimal',
244244
loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
245245
power_t=0.5, random_state=None, shuffle=True, verbose=0,
246246
warm_start=False)
247-
Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015470s
247+
Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015031s
248248

249249
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
250250
kernel='rbf', max_iter=-1, nu=0.1, shrinking=True, tol=0.001,
251251
verbose=False)
252-
Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000368s
252+
Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000385s
253253

254254
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
255255
kernel='rbf', max_iter=-1, nu=0.25, shrinking=True, tol=0.001,
256256
verbose=False)
257-
Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000651s
257+
Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000687s
258258

259259
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
260260
kernel='rbf', max_iter=-1, nu=0.5, shrinking=True, tol=0.001,
261261
verbose=False)
262-
Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001127s
262+
Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001162s
263263

264264
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
265265
kernel='rbf', max_iter=-1, nu=0.75, shrinking=True, tol=0.001,
266266
verbose=False)
267-
Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001568s
267+
Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001640s
268268

269269
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
270270
kernel='rbf', max_iter=-1, nu=0.9, shrinking=True, tol=0.001,
271271
verbose=False)
272-
Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001800s
272+
Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001820s
273273

274274
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
275275
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -285,7 +285,7 @@ main code
285285
min_samples_leaf=1, min_samples_split=2,
286286
min_weight_fraction_leaf=0.0, n_estimators=50, presort='auto',
287287
random_state=None, subsample=1.0, verbose=0, warm_start=False)
288-
Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000195s
288+
Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000186s
289289

290290
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
291291
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -294,7 +294,7 @@ main code
294294
min_weight_fraction_leaf=0.0, n_estimators=100,
295295
presort='auto', random_state=None, subsample=1.0, verbose=0,
296296
warm_start=False)
297-
Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000273s
297+
Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000263s
298298

299299
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
300300
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -303,7 +303,7 @@ main code
303303
min_weight_fraction_leaf=0.0, n_estimators=200,
304304
presort='auto', random_state=None, subsample=1.0, verbose=0,
305305
warm_start=False)
306-
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000410s
306+
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000414s
307307

308308
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
309309
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -312,11 +312,11 @@ main code
312312
min_weight_fraction_leaf=0.0, n_estimators=500,
313313
presort='auto', random_state=None, subsample=1.0, verbose=0,
314314
warm_start=False)
315-
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000893s
315+
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000896s
316316

317317

318318
**Total running time of the script:**
319-
(0 minutes 25.269 seconds)
319+
(0 minutes 25.416 seconds)
320320

321321

322322

‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt

Lines changed: 29 additions & 29 deletions
Original file line numberDiff line numberDiff line change
@@ -353,46 +353,46 @@ maximum
353353
Out::
354354

355355
Test set is 878 documents (108 positive)
356-
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.73s ( 554 docs/s)
357-
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.74s ( 553 docs/s)
358-
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.74s ( 551 docs/s)
359-
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.78s ( 541 docs/s)
356+
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.92s ( 502 docs/s)
357+
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.92s ( 501 docs/s)
358+
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.92s ( 500 docs/s)
359+
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.96s ( 491 docs/s)
360360

361361

362-
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.28s ( 740 docs/s)
363-
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.28s ( 740 docs/s)
364-
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.29s ( 739 docs/s)
365-
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.32s ( 734 docs/s)
362+
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.71s ( 685 docs/s)
363+
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.71s ( 684 docs/s)
364+
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.72s ( 684 docs/s)
365+
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.75s ( 680 docs/s)
366366

367367

368-
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 8.79s ( 776 docs/s)
369-
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 8.79s ( 775 docs/s)
370-
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 8.80s ( 775 docs/s)
371-
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 8.83s ( 772 docs/s)
368+
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 9.19s ( 742 docs/s)
369+
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 9.19s ( 741 docs/s)
370+
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 9.20s ( 741 docs/s)
371+
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 9.23s ( 738 docs/s)
372372

373373

374-
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 12.30s ( 793 docs/s)
375-
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 12.30s ( 793 docs/s)
376-
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 12.31s ( 792 docs/s)
377-
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 12.34s ( 790 docs/s)
374+
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 12.91s ( 755 docs/s)
375+
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 12.91s ( 755 docs/s)
376+
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 12.92s ( 755 docs/s)
377+
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 12.95s ( 753 docs/s)
378378

379379

380-
Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.43s ( 757 docs/s)
381-
Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.43s ( 756 docs/s)
382-
SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.43s ( 756 docs/s)
383-
NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 15.47s ( 755 docs/s)
380+
Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.28s ( 717 docs/s)
381+
Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.29s ( 717 docs/s)
382+
SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.29s ( 716 docs/s)
383+
NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 16.32s ( 715 docs/s)
384384

385385

386-
Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in 19.03s ( 768 docs/s)
387-
Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 19.03s ( 768 docs/s)
388-
SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 19.04s ( 768 docs/s)
389-
NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 19.07s ( 766 docs/s)
386+
Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in 20.21s ( 723 docs/s)
387+
Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 20.22s ( 723 docs/s)
388+
SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 20.22s ( 723 docs/s)
389+
NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 20.26s ( 722 docs/s)
390390

391391

392-
Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 22.33s ( 777 docs/s)
393-
Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 22.33s ( 777 docs/s)
394-
SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 22.34s ( 777 docs/s)
395-
NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 22.37s ( 775 docs/s)
392+
Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 23.71s ( 732 docs/s)
393+
Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 23.72s ( 731 docs/s)
394+
SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 23.72s ( 731 docs/s)
395+
NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 23.76s ( 730 docs/s)
396396

397397

398398
Plot results
@@ -523,7 +523,7 @@ Plot results
523523

524524

525525
**Total running time of the script:**
526-
(0 minutes 24.361 seconds)
526+
(0 minutes 25.829 seconds)
527527

528528

529529

‎dev/_sources/auto_examples/applications/plot_outlier_detection_housing.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -158,7 +158,7 @@ risk of over-fitting the data.
158158
plt.show()
159159

160160
**Total running time of the script:**
161-
(0 minutes 4.470 seconds)
161+
(0 minutes 4.785 seconds)
162162

163163

164164

‎dev/_sources/auto_examples/applications/plot_prediction_latency.txt

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -370,11 +370,11 @@ main code
370370
benchmarking with 100 features
371371
benchmarking with 250 features
372372
benchmarking with 500 features
373-
example run in 3.81s
373+
example run in 3.70s
374374

375375

376376
**Total running time of the script:**
377-
(0 minutes 3.813 seconds)
377+
(0 minutes 3.705 seconds)
378378

379379

380380

‎dev/_sources/auto_examples/applications/plot_species_distribution_modeling.txt

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -64,7 +64,7 @@ References
6464

6565
Area under the ROC curve : 0.993919
6666

67-
time elapsed: 7.16s
67+
time elapsed: 7.19s
6868

6969

7070

@@ -247,7 +247,7 @@ References
247247
plt.show()
248248

249249
**Total running time of the script:**
250-
(0 minutes 7.162 seconds)
250+
(0 minutes 7.194 seconds)
251251

252252

253253

‎dev/_sources/auto_examples/applications/plot_stock_market.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -335,7 +335,7 @@ Visualization
335335

336336

337337
**Total running time of the script:**
338-
(0 minutes 10.669 seconds)
338+
(0 minutes 11.838 seconds)
339339

340340

341341

‎dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -164,7 +164,7 @@ contributed to fewer projections than the central disk.
164164
plt.show()
165165

166166
**Total running time of the script:**
167-
(0 minutes 9.249 seconds)
167+
(0 minutes 9.340 seconds)
168168

169169

170170

‎dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -106,7 +106,7 @@ representation of the checkerboard structure.
106106
plt.show()
107107

108108
**Total running time of the script:**
109-
(0 minutes 0.838 seconds)
109+
(0 minutes 0.832 seconds)
110110

111111

112112

‎dev/_sources/auto_examples/bicluster/plot_spectral_coclustering.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -93,7 +93,7 @@ the biclusters.
9393
plt.show()
9494

9595
**Total running time of the script:**
96-
(0 minutes 0.220 seconds)
96+
(0 minutes 0.218 seconds)
9797

9898

9999

‎dev/_sources/auto_examples/calibration/plot_calibration.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -158,7 +158,7 @@ Plot the data and the predicted probabilities
158158

159159

160160
**Total running time of the script:**
161-
(0 minutes 0.263 seconds)
161+
(0 minutes 0.286 seconds)
162162

163163

164164

‎dev/_sources/auto_examples/calibration/plot_calibration_curve.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -214,7 +214,7 @@ but not where it is transposed-sigmoid (e.g., Gaussian naive Bayes).
214214
plt.show()
215215

216216
**Total running time of the script:**
217-
(0 minutes 2.145 seconds)
217+
(0 minutes 2.181 seconds)
218218

219219

220220

‎dev/_sources/auto_examples/calibration/plot_calibration_multiclass.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -204,7 +204,7 @@ would have resulted in a similar decrease in log-loss.
204204
plt.show()
205205

206206
**Total running time of the script:**
207-
(0 minutes 0.638 seconds)
207+
(0 minutes 0.687 seconds)
208208

209209

210210

‎dev/_sources/auto_examples/calibration/plot_compare_calibration.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -146,7 +146,7 @@ Plot calibration plots
146146

147147

148148
**Total running time of the script:**
149-
(0 minutes 2.481 seconds)
149+
(0 minutes 2.544 seconds)
150150

151151

152152

‎dev/_sources/auto_examples/classification/plot_classification_probability.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -113,7 +113,7 @@ a result it can identify only the first class.
113113
plt.show()
114114

115115
**Total running time of the script:**
116-
(0 minutes 2.414 seconds)
116+
(0 minutes 2.447 seconds)
117117

118118

119119

‎dev/_sources/auto_examples/classification/plot_classifier_comparison.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -153,7 +153,7 @@ set.
153153
plt.show()
154154

155155
**Total running time of the script:**
156-
(0 minutes 8.192 seconds)
156+
(0 minutes 8.950 seconds)
157157

158158

159159

‎dev/_sources/auto_examples/classification/plot_digits_classification.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -120,7 +120,7 @@ This example is commented in the
120120
plt.show()
121121

122122
**Total running time of the script:**
123-
(0 minutes 0.755 seconds)
123+
(0 minutes 0.813 seconds)
124124

125125

126126

‎dev/_sources/auto_examples/classification/plot_lda.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -86,7 +86,7 @@ Shows how shrinkage improves classification.
8686
plt.show()
8787

8888
**Total running time of the script:**
89-
(0 minutes 5.756 seconds)
89+
(0 minutes 5.997 seconds)
9090

9191

9292

‎dev/_sources/auto_examples/classification/plot_lda_qda.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -197,7 +197,7 @@ plot functions
197197

198198

199199
**Total running time of the script:**
200-
(0 minutes 0.400 seconds)
200+
(0 minutes 0.447 seconds)
201201

202202

203203

‎dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.txt

Lines changed: 9 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -45,21 +45,21 @@ value of k on various overlapping sub-samples of the dataset.
4545
Out::
4646

4747
Computing adjusted_rand_score for 10 values of n_clusters and n_samples=100
48-
done in 0.039s
48+
done in 0.047s
4949
Computing v_measure_score for 10 values of n_clusters and n_samples=100
50-
done in 0.059s
50+
done in 0.062s
5151
Computing adjusted_mutual_info_score for 10 values of n_clusters and n_samples=100
52-
done in 0.433s
52+
done in 0.505s
5353
Computing mutual_info_score for 10 values of n_clusters and n_samples=100
54-
done in 0.050s
54+
done in 0.058s
5555
Computing adjusted_rand_score for 10 values of n_clusters and n_samples=1000
56-
done in 0.061s
56+
done in 0.069s
5757
Computing v_measure_score for 10 values of n_clusters and n_samples=1000
58-
done in 0.078s
58+
done in 0.091s
5959
Computing adjusted_mutual_info_score for 10 values of n_clusters and n_samples=1000
60-
done in 0.285s
60+
done in 0.315s
6161
Computing mutual_info_score for 10 values of n_clusters and n_samples=1000
62-
done in 0.065s
62+
done in 0.074s
6363

6464

6565

@@ -171,7 +171,7 @@ value of k on various overlapping sub-samples of the dataset.
171171
plt.show()
172172

173173
**Total running time of the script:**
174-
(0 minutes 1.303 seconds)
174+
(0 minutes 1.487 seconds)
175175

176176

177177

‎dev/_sources/auto_examples/cluster/plot_affinity_propagation.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -115,7 +115,7 @@ Plot result
115115

116116

117117
**Total running time of the script:**
118-
(0 minutes 0.596 seconds)
118+
(0 minutes 0.652 seconds)
119119

120120

121121

0 commit comments

Comments
 (0)