Skip to content

Commit d6159bf

Browse files
sklearn-cisklearn-ci
committed
Pushing the docs for revision for branch: master, commit 442d9442b864bd6b2538f7070a2c85d2fcf13a67
1 parent 99d714e commit d6159bf

File tree

905 files changed

+3308
-3167
lines changed

Some content is hidden

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

905 files changed

+3308
-3167
lines changed

‎dev/_downloads/auto_examples_jupyter.zip

0 Bytes
Binary file not shown.

‎dev/_downloads/auto_examples_python.zip

0 Bytes
Binary file not shown.

‎dev/_images/sphx_glr_plot_agglomerative_clustering_001.png

59 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0011.png

59 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_002.png

-42 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0021.png

-42 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_003.png

-185 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0031.png

-185 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_004.png

293 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_0041.png

293 Bytes

‎dev/_images/sphx_glr_plot_agglomerative_clustering_thumb.png

6 Bytes

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_001.png

-423 Bytes

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0011.png

-423 Bytes

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_002.png

-1015 Bytes

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_0021.png

-1015 Bytes

‎dev/_images/sphx_glr_plot_approximate_nearest_neighbors_scalability_thumb.png

224 Bytes

‎dev/_images/sphx_glr_plot_cluster_comparison_001.png

3.04 KB

‎dev/_images/sphx_glr_plot_cluster_comparison_0011.png

3.04 KB

‎dev/_images/sphx_glr_plot_cluster_comparison_thumb.png

-63 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_001.png

351 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_0011.png

351 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_001_carousel.png

73 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_thumb.png

-33 Bytes

‎dev/_images/sphx_glr_plot_compare_methods_thumb1.png

-33 Bytes

‎dev/_images/sphx_glr_plot_compare_reduction_001.png

103 Bytes

‎dev/_images/sphx_glr_plot_compare_reduction_thumb.png

54 Bytes

‎dev/_images/sphx_glr_plot_dict_face_patches_001.png

59 Bytes

‎dev/_images/sphx_glr_plot_dict_face_patches_0011.png

59 Bytes

‎dev/_images/sphx_glr_plot_dict_face_patches_thumb.png

41 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_001.png

2 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_0011.png

2 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_002.png

48 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_0021.png

48 Bytes

‎dev/_images/sphx_glr_plot_face_segmentation_thumb.png

28 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_003.png

228 Bytes

‎dev/_images/sphx_glr_plot_faces_decomposition_0031.png

228 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_image_denoising_001.png

-138 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_0011.png

-138 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_003.png

99 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_004.png

-138 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_005.png

-20 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_006.png

-306 Bytes

‎dev/_images/sphx_glr_plot_image_denoising_thumb.png

-130 Bytes

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_003.png

100 Bytes

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_004.png

7 Bytes

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_005.png

-1.74 KB

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_006.png

485 Bytes

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_007.png

596 Bytes

‎dev/_images/sphx_glr_plot_johnson_lindenstrauss_bound_008.png

-2.2 KB

‎dev/_images/sphx_glr_plot_kernel_approximation_001.png

844 Bytes

‎dev/_images/sphx_glr_plot_kernel_approximation_002.png

-55 Bytes

‎dev/_images/sphx_glr_plot_kernel_approximation_0021.png

-55 Bytes

‎dev/_images/sphx_glr_plot_kernel_approximation_thumb.png

488 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_001.png

-459 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0011.png

-459 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_002.png

-243 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_0021.png

-243 Bytes

‎dev/_images/sphx_glr_plot_kernel_ridge_regression_thumb.png

-19 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_002.png

32 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_0021.png

32 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_003.png

-54 Bytes

‎dev/_images/sphx_glr_plot_lasso_model_selection_0031.png

-54 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_005.png

106 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0051.png

106 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_006.png

148 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0061.png

148 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_007.png

-438 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0071.png

-438 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_008.png

25 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0081.png

25 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_009.png

-67 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0091.png

-67 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_010.png

-330 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0101.png

-330 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_011.png

148 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_012.png

197 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_013.png

-108 Bytes

‎dev/_images/sphx_glr_plot_lle_digits_0131.png

-108 Bytes

‎dev/_images/sphx_glr_plot_manifold_sphere_001.png

-510 Bytes

‎dev/_images/sphx_glr_plot_manifold_sphere_thumb.png

352 Bytes

‎dev/_images/sphx_glr_plot_mini_batch_kmeans_001.png

161 Bytes

‎dev/_images/sphx_glr_plot_mini_batch_kmeans_0011.png

161 Bytes

‎dev/_images/sphx_glr_plot_mini_batch_kmeans_thumb.png

-1 Bytes

‎dev/_images/sphx_glr_plot_model_complexity_influence_001.png

3.97 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_0011.png

3.97 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_002.png

-2.29 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_0021.png

-2.29 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_003.png

-4.64 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_0031.png

-4.64 KB

‎dev/_images/sphx_glr_plot_model_complexity_influence_thumb.png

256 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_002.png

-299 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_003.png

550 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_0031.png

550 Bytes

‎dev/_images/sphx_glr_plot_out_of_core_classification_004.png

1.42 KB

‎dev/_images/sphx_glr_plot_out_of_core_classification_0041.png

1.42 KB

‎dev/_images/sphx_glr_plot_prediction_latency_001.png

-1.05 KB

‎dev/_images/sphx_glr_plot_prediction_latency_0011.png

-1.05 KB

‎dev/_images/sphx_glr_plot_prediction_latency_002.png

1.03 KB

‎dev/_images/sphx_glr_plot_prediction_latency_0021.png

1.03 KB

‎dev/_images/sphx_glr_plot_prediction_latency_003.png

3.8 KB

‎dev/_images/sphx_glr_plot_prediction_latency_0031.png

3.8 KB

‎dev/_images/sphx_glr_plot_prediction_latency_004.png

-26 Bytes

‎dev/_images/sphx_glr_plot_prediction_latency_0041.png

-26 Bytes

‎dev/_images/sphx_glr_plot_prediction_latency_thumb.png

-1.51 KB

‎dev/_images/sphx_glr_plot_theilsen_001.png

116 Bytes

‎dev/_images/sphx_glr_plot_theilsen_0011.png

116 Bytes

‎dev/_images/sphx_glr_plot_theilsen_002.png

98 Bytes

‎dev/_images/sphx_glr_plot_theilsen_thumb.png

21 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_001.png

-174 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_0011.png

-174 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png

-89 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_0021.png

-89 Bytes

‎dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_thumb.png

-15 Bytes

‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt

Lines changed: 15 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -226,69 +226,69 @@ main code
226226
learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
227227
penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
228228
verbose=0, warm_start=False)
229-
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.026269s
229+
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.028508s
230230

231231
Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
232232
eta0=0.0, fit_intercept=True, l1_ratio=0.5, learning_rate='optimal',
233233
loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
234234
power_t=0.5, random_state=None, shuffle=True, verbose=0,
235235
warm_start=False)
236-
Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020079s
236+
Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.022730s
237237

238238
Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
239239
eta0=0.0, fit_intercept=True, l1_ratio=0.75,
240240
learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
241241
penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
242242
verbose=0, warm_start=False)
243-
Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.016998s
243+
Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.017805s
244244

245245
Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
246246
eta0=0.0, fit_intercept=True, l1_ratio=0.9, learning_rate='optimal',
247247
loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
248248
power_t=0.5, random_state=None, shuffle=True, verbose=0,
249249
warm_start=False)
250-
Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.014781s
250+
Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015947s
251251

252252
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
253253
kernel='rbf', max_iter=-1, nu=0.1, shrinking=True, tol=0.001,
254254
verbose=False)
255-
Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000363s
255+
Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000394s
256256

257257
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
258258
kernel='rbf', max_iter=-1, nu=0.25, shrinking=True, tol=0.001,
259259
verbose=False)
260-
Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000647s
260+
Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000732s
261261

262262
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
263263
kernel='rbf', max_iter=-1, nu=0.5, shrinking=True, tol=0.001,
264264
verbose=False)
265-
Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001110s
265+
Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001244s
266266

267267
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
268268
kernel='rbf', max_iter=-1, nu=0.75, shrinking=True, tol=0.001,
269269
verbose=False)
270-
Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001556s
270+
Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001718s
271271

272272
Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
273273
kernel='rbf', max_iter=-1, nu=0.9, shrinking=True, tol=0.001,
274274
verbose=False)
275-
Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001780s
275+
Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.002021s
276276

277277
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
278278
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
279279
max_leaf_nodes=None, min_impurity_split=1e-07,
280280
min_samples_leaf=1, min_samples_split=2,
281281
min_weight_fraction_leaf=0.0, n_estimators=10, presort='auto',
282282
random_state=None, subsample=1.0, verbose=0, warm_start=False)
283-
Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000111s
283+
Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000118s
284284

285285
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
286286
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
287287
max_leaf_nodes=None, min_impurity_split=1e-07,
288288
min_samples_leaf=1, min_samples_split=2,
289289
min_weight_fraction_leaf=0.0, n_estimators=50, presort='auto',
290290
random_state=None, subsample=1.0, verbose=0, warm_start=False)
291-
Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000191s
291+
Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000205s
292292

293293
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
294294
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -297,7 +297,7 @@ main code
297297
min_weight_fraction_leaf=0.0, n_estimators=100,
298298
presort='auto', random_state=None, subsample=1.0, verbose=0,
299299
warm_start=False)
300-
Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000270s
300+
Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000303s
301301

302302
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
303303
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -306,7 +306,7 @@ main code
306306
min_weight_fraction_leaf=0.0, n_estimators=200,
307307
presort='auto', random_state=None, subsample=1.0, verbose=0,
308308
warm_start=False)
309-
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000432s
309+
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000454s
310310

311311
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
312312
learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -315,10 +315,10 @@ main code
315315
min_weight_fraction_leaf=0.0, n_estimators=500,
316316
presort='auto', random_state=None, subsample=1.0, verbose=0,
317317
warm_start=False)
318-
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000915s
318+
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.001081s
319319

320320

321-
**Total running time of the script:** ( 0 minutes 24.146 seconds)
321+
**Total running time of the script:** ( 0 minutes 26.677 seconds)
322322

323323

324324

‎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
@@ -356,46 +356,46 @@ maximum
356356
Out::
357357

358358
Test set is 878 documents (108 positive)
359-
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.71s ( 563 docs/s)
360-
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.71s ( 562 docs/s)
361-
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.71s ( 560 docs/s)
362-
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.75s ( 550 docs/s)
359+
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.98s ( 485 docs/s)
360+
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.99s ( 484 docs/s)
361+
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.99s ( 483 docs/s)
362+
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 2.03s ( 474 docs/s)
363363

364364

365-
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.33s ( 734 docs/s)
366-
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.33s ( 733 docs/s)
367-
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.33s ( 733 docs/s)
368-
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.37s ( 728 docs/s)
365+
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.93s ( 659 docs/s)
366+
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.94s ( 658 docs/s)
367+
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.94s ( 658 docs/s)
368+
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.98s ( 653 docs/s)
369369

370370

371-
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 8.78s ( 776 docs/s)
372-
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 8.79s ( 776 docs/s)
373-
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 8.79s ( 775 docs/s)
374-
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 8.82s ( 772 docs/s)
371+
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 9.86s ( 691 docs/s)
372+
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 9.86s ( 691 docs/s)
373+
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 9.87s ( 691 docs/s)
374+
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 9.90s ( 688 docs/s)
375375

376376

377-
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 12.33s ( 791 docs/s)
378-
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 12.33s ( 791 docs/s)
379-
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 12.33s ( 791 docs/s)
380-
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 12.37s ( 789 docs/s)
377+
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 13.99s ( 697 docs/s)
378+
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 13.99s ( 697 docs/s)
379+
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 13.99s ( 697 docs/s)
380+
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 14.03s ( 695 docs/s)
381381

382382

383-
Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.37s ( 759 docs/s)
384-
Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.38s ( 759 docs/s)
385-
SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.38s ( 759 docs/s)
386-
NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 15.41s ( 757 docs/s)
383+
Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 17.38s ( 672 docs/s)
384+
Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 17.38s ( 671 docs/s)
385+
SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 17.39s ( 671 docs/s)
386+
NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 17.42s ( 670 docs/s)
387387

388388

389-
Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in 19.03s ( 768 docs/s)
390-
Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 19.03s ( 768 docs/s)
391-
SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 19.03s ( 768 docs/s)
392-
NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 19.07s ( 766 docs/s)
389+
Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in 21.34s ( 685 docs/s)
390+
Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 21.34s ( 685 docs/s)
391+
SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 21.35s ( 685 docs/s)
392+
NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 21.39s ( 683 docs/s)
393393

394394

395-
Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 22.27s ( 779 docs/s)
396-
Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 22.27s ( 779 docs/s)
397-
SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 22.28s ( 779 docs/s)
398-
NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 22.31s ( 778 docs/s)
395+
Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 25.03s ( 693 docs/s)
396+
Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 25.03s ( 693 docs/s)
397+
SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 25.04s ( 693 docs/s)
398+
NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 25.07s ( 692 docs/s)
399399

400400

401401
Plot results
@@ -526,7 +526,7 @@ Plot results
526526

527527

528528

529-
**Total running time of the script:** ( 0 minutes 24.306 seconds)
529+
**Total running time of the script:** ( 0 minutes 27.341 seconds)
530530

531531

532532

‎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

159159
plt.show()
160160

161-
**Total running time of the script:** ( 0 minutes 4.380 seconds)
161+
**Total running time of the script:** ( 0 minutes 4.838 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
@@ -372,10 +372,10 @@ main code
372372
benchmarking with 100 features
373373
benchmarking with 250 features
374374
benchmarking with 500 features
375-
example run in 3.68s
375+
example run in 4.09s
376376

377377

378-
**Total running time of the script:** ( 0 minutes 3.684 seconds)
378+
**Total running time of the script:** ( 0 minutes 4.091 seconds)
379379

380380

381381

‎dev/_sources/auto_examples/applications/plot_species_distribution_modeling.txt

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -65,7 +65,7 @@ References
6565

6666
Area under the ROC curve : 0.993919
6767

68-
time elapsed: 6.81s
68+
time elapsed: 7.15s
6969

7070

7171

@@ -247,7 +247,7 @@ References
247247
plot_species_distribution()
248248
plt.show()
249249

250-
**Total running time of the script:** ( 0 minutes 6.814 seconds)
250+
**Total running time of the script:** ( 0 minutes 7.149 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
@@ -340,7 +340,7 @@ Visualization
340340

341341

342342

343-
**Total running time of the script:** ( 0 minutes 9.207 seconds)
343+
**Total running time of the script:** ( 0 minutes 18.522 seconds)
344344

345345

346346

‎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

165165
plt.show()
166166

167-
**Total running time of the script:** ( 0 minutes 9.255 seconds)
167+
**Total running time of the script:** ( 0 minutes 10.072 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

107107
plt.show()
108108

109-
**Total running time of the script:** ( 0 minutes 0.875 seconds)
109+
**Total running time of the script:** ( 0 minutes 1.021 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

9494
plt.show()
9595

96-
**Total running time of the script:** ( 0 minutes 0.219 seconds)
96+
**Total running time of the script:** ( 0 minutes 0.245 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
@@ -159,7 +159,7 @@ Plot the data and the predicted probabilities
159159

160160

161161

162-
**Total running time of the script:** ( 0 minutes 0.271 seconds)
162+
**Total running time of the script:** ( 0 minutes 0.289 seconds)
163163

164164

165165

‎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

215215
plt.show()
216216

217-
**Total running time of the script:** ( 0 minutes 2.167 seconds)
217+
**Total running time of the script:** ( 0 minutes 2.397 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

205205
plt.show()
206206

207-
**Total running time of the script:** ( 0 minutes 0.669 seconds)
207+
**Total running time of the script:** ( 0 minutes 0.749 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
@@ -147,7 +147,7 @@ Plot calibration plots
147147

148148

149149

150-
**Total running time of the script:** ( 0 minutes 2.537 seconds)
150+
**Total running time of the script:** ( 0 minutes 2.824 seconds)
151151

152152

153153

‎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

114114
plt.show()
115115

116-
**Total running time of the script:** ( 0 minutes 2.454 seconds)
116+
**Total running time of the script:** ( 0 minutes 2.834 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.tight_layout()
154154
plt.show()
155155

156-
**Total running time of the script:** ( 0 minutes 8.263 seconds)
156+
**Total running time of the script:** ( 0 minutes 8.912 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

121121
plt.show()
122122

123-
**Total running time of the script:** ( 0 minutes 0.772 seconds)
123+
**Total running time of the script:** ( 0 minutes 0.829 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
shrinkage Linear Discriminant Analysis (1 discriminative feature)')
8787
plt.show()
8888

89-
**Total running time of the script:** ( 0 minutes 5.765 seconds)
89+
**Total running time of the script:** ( 0 minutes 6.896 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
@@ -200,7 +200,7 @@ plot functions
200200

201201

202202

203-
**Total running time of the script:** ( 0 minutes 0.473 seconds)
203+
**Total running time of the script:** ( 0 minutes 0.563 seconds)
204204

205205

206206

0 commit comments

Comments
 (0)