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b/dev/_images/sphx_glr_plot_theilsen_thumb.png index 9216a2ef3598d..7ab90a8cbe71f 100644 Binary files a/dev/_images/sphx_glr_plot_theilsen_thumb.png and b/dev/_images/sphx_glr_plot_theilsen_thumb.png differ diff --git a/dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png b/dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png index dea6833eade50..e4b5aeb15e7d5 100644 Binary files a/dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png and b/dev/_images/sphx_glr_plot_ward_structured_vs_unstructured_002.png differ diff --git a/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt b/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt index 5f23dc3a7a7fb..7ace9d20a2f13 100644 --- a/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt @@ -2555,7 +2555,7 @@ instead of `RidgeCV`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 13.611 seconds) + **Total running time of the script:** ( 0 minutes 13.488 seconds) .. _sphx_glr_download_auto_examples_applications_plot_cyclical_feature_engineering.py: diff --git a/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt b/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt index 2a956c43cc06e..22c61acf40ed7 100644 --- a/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt @@ -312,7 +312,7 @@ will depend of the parameters `n_components`, `gamma`, and `alpha`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 10.242 seconds) + **Total running time of the script:** ( 0 minutes 10.570 seconds) .. _sphx_glr_download_auto_examples_applications_plot_digits_denoising.py: diff --git a/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt b/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt index f0ddfb739b97d..8e0fac489358e 100644 --- a/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt @@ -159,9 +159,9 @@ dataset): unsupervised feature extraction / dimensionality reduction .. code-block:: none Extracting the top 150 eigenfaces from 966 faces - done in 0.083s + done in 0.084s Projecting the input data on the eigenfaces orthonormal basis - done in 0.007s + done in 0.009s @@ -199,7 +199,7 @@ Train a SVM classification model .. code-block:: none Fitting the classifier to the training set - done in 5.807s + done in 5.959s Best estimator found by grid search: SVC(C=76823.03433306453, class_weight='balanced', gamma=0.003418945823095797) @@ -359,7 +359,7 @@ tensorflow to implement such models. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.776 seconds) + **Total running time of the script:** ( 0 minutes 6.990 seconds) .. _sphx_glr_download_auto_examples_applications_plot_face_recognition.py: diff --git a/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt b/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt index 22bac86694275..36d913225e391 100644 --- a/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt @@ -388,49 +388,49 @@ ensemble is not as detrimental. Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.25, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 4948 | Hamming Loss (Misclassification Ratio): 0.2675 | Pred. Time: 0.056501s + Complexity: 4948 | Hamming Loss (Misclassification Ratio): 0.2675 | Pred. Time: 0.061294s Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.5, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 1847 | Hamming Loss (Misclassification Ratio): 0.3264 | Pred. Time: 0.042988s + Complexity: 1847 | Hamming Loss (Misclassification Ratio): 0.3264 | Pred. Time: 0.045601s Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.75, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 997 | Hamming Loss (Misclassification Ratio): 0.3383 | Pred. Time: 0.035415s + Complexity: 997 | Hamming Loss (Misclassification Ratio): 0.3383 | Pred. Time: 0.038330s Benchmarking SGDClassifier(alpha=0.001, l1_ratio=0.9, loss='modified_huber', n_iter_no_change=2, penalty='elasticnet', tol=0.1) - Complexity: 802 | Hamming Loss (Misclassification Ratio): 0.3582 | Pred. Time: 0.032616s + Complexity: 802 | Hamming Loss (Misclassification Ratio): 0.3582 | Pred. Time: 0.033368s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.05) - Complexity: 18 | MSE: 5558.7313 | Pred. Time: 0.000182s + Complexity: 18 | MSE: 5558.7313 | Pred. Time: 0.000186s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.1) - Complexity: 36 | MSE: 5289.8022 | Pred. Time: 0.000266s + Complexity: 36 | MSE: 5289.8022 | Pred. Time: 0.000261s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.2) - Complexity: 72 | MSE: 5193.8353 | Pred. Time: 0.000415s + Complexity: 72 | MSE: 5193.8353 | Pred. Time: 0.000419s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05, nu=0.35) - Complexity: 124 | MSE: 5131.3279 | Pred. Time: 0.000638s + Complexity: 124 | MSE: 5131.3279 | Pred. Time: 0.000640s Benchmarking NuSVR(C=1000.0, gamma=3.0517578125e-05) - Complexity: 178 | MSE: 5149.0779 | Pred. Time: 0.000874s + Complexity: 178 | MSE: 5149.0779 | Pred. Time: 0.000877s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=10) Complexity: 10 | MSE: 4066.4812 | Pred. Time: 0.000164s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=25) - Complexity: 25 | MSE: 3551.1723 | Pred. Time: 0.000186s + Complexity: 25 | MSE: 3551.1723 | Pred. Time: 0.000191s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=50) - Complexity: 50 | MSE: 3445.2171 | Pred. Time: 0.000225s + Complexity: 50 | MSE: 3445.2171 | Pred. Time: 0.000226s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2, n_estimators=75) - Complexity: 75 | MSE: 3433.0358 | Pred. Time: 0.000268s + Complexity: 75 | MSE: 3433.0358 | Pred. Time: 0.000256s Benchmarking GradientBoostingRegressor(learning_rate=0.05, max_depth=2) - Complexity: 100 | MSE: 3456.0602 | Pred. Time: 0.000302s + Complexity: 100 | MSE: 3456.0602 | Pred. Time: 0.000291s @@ -453,7 +453,7 @@ under-fitting or over-fitting. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.167 seconds) + **Total running time of the script:** ( 0 minutes 5.242 seconds) .. _sphx_glr_download_auto_examples_applications_plot_model_complexity_influence.py: diff --git a/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt b/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt index 730c19dd4a09c..d64955933c5a8 100644 --- a/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt @@ -383,46 +383,46 @@ maximum .. code-block:: none Test set is 878 documents (108 positive) - SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 0.64s ( 1504 docs/s) - Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.855 in 0.65s ( 1490 docs/s) - NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 0.67s ( 1438 docs/s) - Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 0.67s ( 1431 docs/s) + SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 0.69s ( 1395 docs/s) + Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.855 in 0.69s ( 1389 docs/s) + NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 0.70s ( 1372 docs/s) + Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 0.70s ( 1367 docs/s) - SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 2.08s ( 1879 docs/s) - Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.936 in 2.08s ( 1876 docs/s) - NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 2.09s ( 1868 docs/s) - Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.941 in 2.10s ( 1865 docs/s) + SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 1.89s ( 2073 docs/s) + Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.936 in 1.89s ( 2070 docs/s) + NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 1.90s ( 2062 docs/s) + Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.941 in 1.90s ( 2059 docs/s) - SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.18s ( 2144 docs/s) - Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.18s ( 2142 docs/s) - NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.900 in 3.19s ( 2136 docs/s) - Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 3.19s ( 2134 docs/s) + SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.07s ( 2218 docs/s) + Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 3.08s ( 2216 docs/s) + NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.900 in 3.09s ( 2210 docs/s) + Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 3.09s ( 2208 docs/s) - SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 4.28s ( 2279 docs/s) - Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 4.28s ( 2277 docs/s) - NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 4.29s ( 2273 docs/s) - Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 4.30s ( 2271 docs/s) + SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 4.25s ( 2295 docs/s) + Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.953 in 4.25s ( 2294 docs/s) + NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 4.26s ( 2290 docs/s) + Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 4.26s ( 2288 docs/s) - SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.944 in 5.24s ( 2230 docs/s) - Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 5.24s ( 2229 docs/s) - NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 5.25s ( 2225 docs/s) - Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 5.25s ( 2224 docs/s) + SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.944 in 5.21s ( 2240 docs/s) + Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 5.21s ( 2239 docs/s) + NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.915 in 5.22s ( 2236 docs/s) + Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 5.23s ( 2235 docs/s) - SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.965 in 6.37s ( 2297 docs/s) - Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.903 in 6.37s ( 2296 docs/s) - NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.924 in 6.38s ( 2292 docs/s) - Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 6.38s ( 2291 docs/s) + SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.965 in 6.39s ( 2290 docs/s) + Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.903 in 6.39s ( 2289 docs/s) + NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.924 in 6.40s ( 2286 docs/s) + Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 6.40s ( 2285 docs/s) - SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 7.41s ( 2342 docs/s) - Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 7.41s ( 2341 docs/s) - NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 7.42s ( 2339 docs/s) - Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 7.42s ( 2338 docs/s) + SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 7.40s ( 2344 docs/s) + Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.933 in 7.41s ( 2343 docs/s) + NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 7.42s ( 2341 docs/s) + Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.952 in 7.42s ( 2340 docs/s) @@ -583,7 +583,7 @@ before feeding them to the learner. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.373 seconds) + **Total running time of the script:** ( 0 minutes 8.403 seconds) .. _sphx_glr_download_auto_examples_applications_plot_out_of_core_classification.py: diff --git a/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt b/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt index 101e32ce327a4..4837e4a3fde26 100644 --- a/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt @@ -210,7 +210,7 @@ the data scatter matrix and the risk of over-fitting the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.295 seconds) + **Total running time of the script:** ( 0 minutes 1.361 seconds) .. _sphx_glr_download_auto_examples_applications_plot_outlier_detection_wine.py: diff --git a/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt b/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt index 4d19f64146f76..68ea32ad791c5 100644 --- a/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt @@ -473,7 +473,7 @@ Benchmark throughput .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 16.286 seconds) + **Total running time of the script:** ( 0 minutes 16.256 seconds) .. _sphx_glr_download_auto_examples_applications_plot_prediction_latency.py: diff --git a/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt b/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt index 85e1c0b3f6eac..8ff7e985366d1 100644 --- a/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt @@ -82,7 +82,7 @@ References Area under the ROC curve : 0.993919 - time elapsed: 6.26s + time elapsed: 6.35s @@ -308,7 +308,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.447 seconds) + **Total running time of the script:** ( 0 minutes 6.537 seconds) .. _sphx_glr_download_auto_examples_applications_plot_species_distribution_modeling.py: diff --git a/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt b/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt index 483adf5db1984..1ad48b6e69c1f 100644 --- a/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_stock_market.rst.txt @@ -459,7 +459,7 @@ axis. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.806 seconds) + **Total running time of the script:** ( 0 minutes 6.857 seconds) .. _sphx_glr_download_auto_examples_applications_plot_stock_market.py: diff --git a/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt b/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt index 9962aa98f2db8..ddedef43fb89e 100644 --- a/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt @@ -180,7 +180,7 @@ contributed to fewer projections than the central disk. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 9.726 seconds) + **Total running time of the script:** ( 0 minutes 9.515 seconds) .. _sphx_glr_download_auto_examples_applications_plot_tomography_l1_reconstruction.py: diff --git a/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt b/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt index f43938b456e92..8ddb0127f6214 100644 --- a/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt +++ b/dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt @@ -86,18 +86,18 @@ proportional to (n_samples * iterations). .. code-block:: none Loading dataset... - done in 1.116s. + done in 1.120s. Extracting tf-idf features for NMF... - done in 0.275s. + done in 0.277s. Extracting tf features for LDA... - done in 0.272s. + done in 0.268s. Fitting the NMF model (Frobenius norm) with tf-idf features, n_samples=2000 and n_features=1000... done in 0.076s. Fitting the NMF model (generalized Kullback-Leibler divergence) with tf-idf features, n_samples=2000 and n_features=1000... - done in 1.086s. + done in 1.070s. Fitting the MiniBatchNMF model (Frobenius norm) with tf-idf features, n_samples=2000 and n_features=1000, batch_size=128... @@ -105,11 +105,11 @@ proportional to (n_samples * iterations). Fitting the MiniBatchNMF model (generalized Kullback-Leibler divergence) with tf-idf features, n_samples=2000 and n_features=1000, batch_size=128... - done in 0.235s. + done in 0.246s. Fitting LDA models with tf features, n_samples=2000 and n_features=1000... - done in 2.796s. + done in 2.788s. @@ -329,7 +329,7 @@ proportional to (n_samples * iterations). .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 12.051 seconds) + **Total running time of the script:** ( 0 minutes 12.101 seconds) .. _sphx_glr_download_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py: diff --git a/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt b/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt index 76a3201284246..dcdb12af3c7ba 100644 --- a/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt @@ -6,30 +6,30 @@ Computation times ================= -**01:37.780** total execution time for **auto_examples_applications** files: +**01:37.319** total execution time for **auto_examples_applications** files: +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``plot_prediction_latency.py``) | 00:16.286 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``plot_prediction_latency.py``) | 00:16.256 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``plot_cyclical_feature_engineering.py``) | 00:13.611 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``plot_cyclical_feature_engineering.py``) | 00:13.488 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``plot_topics_extraction_with_nmf_lda.py``) | 00:12.051 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``plot_topics_extraction_with_nmf_lda.py``) | 00:12.101 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``plot_digits_denoising.py``) | 00:10.242 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``plot_digits_denoising.py``) | 00:10.570 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``plot_tomography_l1_reconstruction.py``) | 00:09.726 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``plot_tomography_l1_reconstruction.py``) | 00:09.515 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``plot_out_of_core_classification.py``) | 00:08.373 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``plot_out_of_core_classification.py``) | 00:08.403 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``plot_stock_market.py``) | 00:07.806 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``plot_face_recognition.py``) | 00:06.990 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``plot_face_recognition.py``) | 00:06.776 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``plot_stock_market.py``) | 00:06.857 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``plot_species_distribution_modeling.py``) | 00:06.447 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``plot_species_distribution_modeling.py``) | 00:06.537 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``plot_model_complexity_influence.py``) | 00:05.167 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``plot_model_complexity_influence.py``) | 00:05.242 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` (``plot_outlier_detection_wine.py``) | 00:01.295 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` (``plot_outlier_detection_wine.py``) | 00:01.361 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_applications_svm_gui.py` (``svm_gui.py``) | 00:00.000 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt b/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt index 6514538c65c53..43b2d694d1f56 100644 --- a/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt +++ b/dev/_sources/auto_examples/bicluster/plot_bicluster_newsgroups.rst.txt @@ -51,9 +51,9 @@ achieve a better V-measure than clusters found by MiniBatchKMeans. Vectorizing... Coclustering... - Done in 1.46s. V-measure: 0.4415 + Done in 1.39s. V-measure: 0.4415 MiniBatchKMeans... - Done in 2.35s. V-measure: 0.3015 + Done in 2.21s. V-measure: 0.3015 Best biclusters: ---------------- @@ -239,7 +239,7 @@ achieve a better V-measure than clusters found by MiniBatchKMeans. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.505 seconds) + **Total running time of the script:** ( 0 minutes 6.298 seconds) .. _sphx_glr_download_auto_examples_bicluster_plot_bicluster_newsgroups.py: diff --git a/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt b/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt index 44e9b71c714f7..f4c9bceab762d 100644 --- a/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt +++ b/dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.rst.txt @@ -261,7 +261,7 @@ labels are represented by different shades of blue. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.711 seconds) + **Total running time of the script:** ( 0 minutes 0.582 seconds) .. _sphx_glr_download_auto_examples_bicluster_plot_spectral_biclustering.py: diff --git a/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt b/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt index 687d79790d4b2..435bef904cbde 100644 --- a/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/bicluster/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:07.572** total execution time for **auto_examples_bicluster** files: +**00:07.236** total execution time for **auto_examples_bicluster** files: +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``plot_bicluster_newsgroups.py``) | 00:06.505 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``plot_bicluster_newsgroups.py``) | 00:06.298 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_biclustering.py` (``plot_spectral_biclustering.py``) | 00:00.711 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_biclustering.py` (``plot_spectral_biclustering.py``) | 00:00.582 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_bicluster_plot_spectral_coclustering.py` (``plot_spectral_coclustering.py``) | 00:00.356 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt b/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt index 7a6e68e0c32b7..285f19bb62514 100644 --- a/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_calibration.rst.txt @@ -239,7 +239,7 @@ Plot data and the predicted probabilities .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.374 seconds) + **Total running time of the script:** ( 0 minutes 0.357 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_calibration.py: diff --git a/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt b/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt index d83f109977b9a..1a00fdc092b72 100644 --- a/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_calibration_curve.rst.txt @@ -633,7 +633,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.040 seconds) + **Total running time of the script:** ( 0 minutes 2.907 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_calibration_curve.py: diff --git a/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt b/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt index 25229ea749fea..875e3677f425e 100644 --- a/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_calibration_multiclass.rst.txt @@ -403,7 +403,7 @@ uncalibrated probability. This illustrates the learned calibration map: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.590 seconds) + **Total running time of the script:** ( 0 minutes 1.530 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_calibration_multiclass.py: diff --git a/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt b/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt index 358ec608a5707..6529c3516f35b 100644 --- a/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt +++ b/dev/_sources/auto_examples/calibration/plot_compare_calibration.rst.txt @@ -302,7 +302,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.315 seconds) + **Total running time of the script:** ( 0 minutes 1.265 seconds) .. _sphx_glr_download_auto_examples_calibration_plot_compare_calibration.py: diff --git a/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt b/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt index 8fe4676e9d24b..50be55fba8960 100644 --- a/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/calibration/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:06.318** total execution time for **auto_examples_calibration** files: +**00:06.059** total execution time for **auto_examples_calibration** files: +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``plot_calibration_curve.py``) | 00:03.040 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``plot_calibration_curve.py``) | 00:02.907 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py` (``plot_calibration_multiclass.py``) | 00:01.590 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration_multiclass.py` (``plot_calibration_multiclass.py``) | 00:01.530 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``plot_compare_calibration.py``) | 00:01.315 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``plot_compare_calibration.py``) | 00:01.265 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_calibration_plot_calibration.py` (``plot_calibration.py``) | 00:00.374 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_calibration_plot_calibration.py` (``plot_calibration.py``) | 00:00.357 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt b/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt index a8804fe9e8db3..f581a3f86fe0c 100644 --- a/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_classification_probability.rst.txt @@ -144,7 +144,7 @@ other estimators. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.238 seconds) + **Total running time of the script:** ( 0 minutes 1.130 seconds) .. _sphx_glr_download_auto_examples_classification_plot_classification_probability.py: diff --git a/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt b/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt index d3454e5e3a397..513b9c12efedf 100644 --- a/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt @@ -192,7 +192,7 @@ set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.600 seconds) + **Total running time of the script:** ( 0 minutes 2.485 seconds) .. _sphx_glr_download_auto_examples_classification_plot_classifier_comparison.py: diff --git a/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt b/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt index 384c387061be1..6d4f1bba03f16 100644 --- a/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_digits_classification.rst.txt @@ -315,7 +315,7 @@ as follows: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.474 seconds) + **Total running time of the script:** ( 0 minutes 0.487 seconds) .. _sphx_glr_download_auto_examples_classification_plot_digits_classification.py: diff --git a/dev/_sources/auto_examples/classification/plot_lda.rst.txt b/dev/_sources/auto_examples/classification/plot_lda.rst.txt index ab4ea564443b8..68f9056dd4e81 100644 --- a/dev/_sources/auto_examples/classification/plot_lda.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_lda.rst.txt @@ -139,7 +139,7 @@ Approximating (OAS) estimators of covariance can improve classification. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.780 seconds) + **Total running time of the script:** ( 0 minutes 7.948 seconds) .. _sphx_glr_download_auto_examples_classification_plot_lda.py: diff --git a/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt b/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt index 18877b221739f..a0a45bcdd1e7b 100644 --- a/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt +++ b/dev/_sources/auto_examples/classification/plot_lda_qda.rst.txt @@ -281,7 +281,7 @@ Plot .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.304 seconds) + **Total running time of the script:** ( 0 minutes 0.306 seconds) .. _sphx_glr_download_auto_examples_classification_plot_lda_qda.py: diff --git a/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt b/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt index a0baa13abd061..6b108c9e4a7ca 100644 --- a/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/classification/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:12.396** total execution time for **auto_examples_classification** files: +**00:12.357** total execution time for **auto_examples_classification** files: +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``plot_lda.py``) | 00:07.780 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``plot_lda.py``) | 00:07.948 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``plot_classifier_comparison.py``) | 00:02.600 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``plot_classifier_comparison.py``) | 00:02.485 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``plot_classification_probability.py``) | 00:01.238 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``plot_classification_probability.py``) | 00:01.130 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_digits_classification.py` (``plot_digits_classification.py``) | 00:00.474 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_digits_classification.py` (``plot_digits_classification.py``) | 00:00.487 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_classification_plot_lda_qda.py` (``plot_lda_qda.py``) | 00:00.304 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_classification_plot_lda_qda.py` (``plot_lda_qda.py``) | 00:00.306 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt b/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt index ec66267464f33..3c877c6366488 100644 --- a/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.rst.txt @@ -351,7 +351,7 @@ of clusters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.117 seconds) + **Total running time of the script:** ( 0 minutes 1.126 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_adjusted_for_chance_measures.py: diff --git a/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt b/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt index ebc4185f9c687..0d02ebc59965d 100644 --- a/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_affinity_propagation.rst.txt @@ -160,7 +160,7 @@ Plot result .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.321 seconds) + **Total running time of the script:** ( 0 minutes 0.317 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_affinity_propagation.py: diff --git a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt index 994dddcdc655f..dc918ab9e885d 100644 --- a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.rst.txt @@ -58,21 +58,21 @@ which is well known to have this percolation instability. * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_002.png - :alt: n_cluster=3, connectivity=False, linkage=average (time 0.04s), linkage=complete (time 0.03s), linkage=ward (time 0.04s), linkage=single (time 0.01s) + :alt: n_cluster=3, connectivity=False, linkage=average (time 0.04s), linkage=complete (time 0.04s), linkage=ward (time 0.03s), linkage=single (time 0.01s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_002.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_003.png - :alt: n_cluster=30, connectivity=True, linkage=average (time 0.11s), linkage=complete (time 0.11s), linkage=ward (time 0.16s), linkage=single (time 0.02s) + :alt: n_cluster=30, connectivity=True, linkage=average (time 0.10s), linkage=complete (time 0.11s), linkage=ward (time 0.16s), linkage=single (time 0.02s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_003.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_004.png - :alt: n_cluster=3, connectivity=True, linkage=average (time 0.11s), linkage=complete (time 0.11s), linkage=ward (time 0.15s), linkage=single (time 0.02s) + :alt: n_cluster=3, connectivity=True, linkage=average (time 0.11s), linkage=complete (time 0.10s), linkage=ward (time 0.15s), linkage=single (time 0.02s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_agglomerative_clustering_004.png :class: sphx-glr-multi-img @@ -145,7 +145,7 @@ which is well known to have this percolation instability. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.996 seconds) + **Total running time of the script:** ( 0 minutes 1.988 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_agglomerative_clustering.py: diff --git a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt index 3fa8c69ba4c0f..0b8e83f45a482 100644 --- a/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_agglomerative_clustering_metrics.rst.txt @@ -228,7 +228,7 @@ thus the clustering puts them in the same cluster. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.033 seconds) + **Total running time of the script:** ( 0 minutes 1.058 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_agglomerative_clustering_metrics.py: diff --git a/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt b/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt index 5df2fb555c592..4f082e2889e1a 100644 --- a/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_birch_vs_minibatchkmeans.rst.txt @@ -52,11 +52,11 @@ step before the final (global) clustering step that further reduces these .. code-block:: none - BIRCH without global clustering as the final step took 0.60 seconds + BIRCH without global clustering as the final step took 0.59 seconds n_clusters : 158 - BIRCH with global clustering as the final step took 0.57 seconds + BIRCH with global clustering as the final step took 0.58 seconds n_clusters : 100 - Time taken to run MiniBatchKMeans 0.24 seconds + Time taken to run MiniBatchKMeans 0.23 seconds @@ -158,7 +158,7 @@ step before the final (global) clustering step that further reduces these .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.839 seconds) + **Total running time of the script:** ( 0 minutes 3.779 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py: diff --git a/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt b/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt index 50890ed31c288..6f7ce133793c3 100644 --- a/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_bisect_kmeans.rst.txt @@ -99,7 +99,7 @@ present for regular K-Means. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.027 seconds) + **Total running time of the script:** ( 0 minutes 1.043 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_bisect_kmeans.py: diff --git a/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt b/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt index 89f52a47948ca..51ce4853732ad 100644 --- a/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt @@ -308,7 +308,7 @@ dimensional data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.179 seconds) + **Total running time of the script:** ( 0 minutes 5.965 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_cluster_comparison.py: diff --git a/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt b/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt index 14457e9ce75a1..2175ac4229e7c 100644 --- a/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_cluster_iris.rst.txt @@ -124,7 +124,7 @@ The plot shows: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.300 seconds) + **Total running time of the script:** ( 0 minutes 0.301 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_cluster_iris.py: diff --git a/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt b/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt index 174f2e988b34d..32e411da616c9 100644 --- a/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_coin_segmentation.rst.txt @@ -149,21 +149,21 @@ Compute and visualize the resulting regions * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_001.png - :alt: Spectral clustering: kmeans, 1.65s + :alt: Spectral clustering: kmeans, 1.57s :srcset: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_001.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_002.png - :alt: Spectral clustering: discretize, 1.47s + :alt: Spectral clustering: discretize, 1.40s :srcset: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_002.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_003.png - :alt: Spectral clustering: cluster_qr, 1.54s + :alt: Spectral clustering: cluster_qr, 1.36s :srcset: /auto_examples/cluster/images/sphx_glr_plot_coin_segmentation_003.png :class: sphx-glr-multi-img @@ -172,9 +172,9 @@ Compute and visualize the resulting regions .. code-block:: none - Spectral clustering: kmeans, 1.65s - Spectral clustering: discretize, 1.47s - Spectral clustering: cluster_qr, 1.54s + Spectral clustering: kmeans, 1.57s + Spectral clustering: discretize, 1.40s + Spectral clustering: cluster_qr, 1.36s @@ -182,7 +182,7 @@ Compute and visualize the resulting regions .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.007 seconds) + **Total running time of the script:** ( 0 minutes 4.655 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_coin_segmentation.py: diff --git a/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt b/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt index c8a9b16e0bee5..f99cea42a3139 100644 --- a/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_coin_ward_segmentation.rst.txt @@ -153,7 +153,7 @@ Compute clustering .. code-block:: none Compute structured hierarchical clustering... - Elapsed time: 0.169s + Elapsed time: 0.155s Number of pixels: 4697 Number of clusters: 27 @@ -202,7 +202,7 @@ is finding a large in the background. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.462 seconds) + **Total running time of the script:** ( 0 minutes 0.378 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_coin_ward_segmentation.py: diff --git a/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt b/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt index 9d38d123aef79..44a694bbd1bb6 100644 --- a/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_color_quantization.rst.txt @@ -70,9 +70,9 @@ randomly) is also shown. .. code-block:: none Fitting model on a small sub-sample of the data - done in 0.019s. + done in 0.021s. Predicting color indices on the full image (k-means) - done in 0.040s. + done in 0.038s. Predicting color indices on the full image (random) done in 0.076s. @@ -167,7 +167,7 @@ randomly) is also shown. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.527 seconds) + **Total running time of the script:** ( 0 minutes 0.528 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_color_quantization.py: diff --git a/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt b/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt index dbc09cdba4dde..5978de1605407 100644 --- a/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_dbscan.rst.txt @@ -240,7 +240,7 @@ black. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.184 seconds) + **Total running time of the script:** ( 0 minutes 0.187 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_dbscan.py: diff --git a/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt b/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt index dd5b8269f2b87..32cfc8fd477da 100644 --- a/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_dict_face_patches.rst.txt @@ -142,7 +142,7 @@ Learn the dictionary of images Partial fit of 2200 out of 2400 Partial fit of 2300 out of 2400 Partial fit of 2400 out of 2400 - done in 1.21s. + done in 1.17s. @@ -189,7 +189,7 @@ Plot the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.682 seconds) + **Total running time of the script:** ( 0 minutes 2.578 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_dict_face_patches.py: diff --git a/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt b/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt index ca3bd75faae88..13c5eeba323e2 100644 --- a/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_digits_agglomeration.rst.txt @@ -94,7 +94,7 @@ feature agglomeration. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.178 seconds) + **Total running time of the script:** ( 0 minutes 0.172 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_digits_agglomeration.py: diff --git a/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt b/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt index 69a0ab1758cf8..abcb612d6fa88 100644 --- a/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_digits_linkage.rst.txt @@ -88,7 +88,7 @@ random resampling of the dataset. Done. ward : 0.05s average : 0.05s - complete : 0.05s + complete : 0.04s single : 0.02s @@ -164,7 +164,7 @@ random resampling of the dataset. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.547 seconds) + **Total running time of the script:** ( 0 minutes 1.358 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_digits_linkage.py: diff --git a/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt b/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt index 746a3cdb4dd32..46126f7625e01 100644 --- a/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_face_compress.rst.txt @@ -417,7 +417,7 @@ a 64-bit float representation. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.531 seconds) + **Total running time of the script:** ( 0 minutes 2.387 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_face_compress.py: diff --git a/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt b/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt index 552c345d88514..d5d7b5abe5133 100644 --- a/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.rst.txt @@ -191,7 +191,7 @@ Ward agglomeration followed by BayesianRidge ..., [ 0.275706, ..., -1.085711]]), connectivity=<1600x1600 sparse matrix of type '' with 7840 stored elements in COOrdinate format>, n_clusters=None, return_distance=False) - ________________________________________________________ward_tree - 0.1s, 0.0min + ________________________________________________________ward_tree - 0.0s, 0.0min ________________________________________________________________________________ [Memory] Calling sklearn.cluster._agglomerative.ward_tree... ward_tree(array([[ 0.905206, ..., 0.161245], @@ -314,7 +314,7 @@ Attempt to remove the temporary cachedir, but don't worry if it fails .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.635 seconds) + **Total running time of the script:** ( 0 minutes 0.519 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py: diff --git a/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt b/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt index e260b3d2f7b8c..58c27a6c704d0 100644 --- a/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_hdbscan.rst.txt @@ -449,7 +449,7 @@ and the minimum spanning tree. All we need to do is specify the `cut_distance` .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 14.224 seconds) + **Total running time of the script:** ( 0 minutes 14.140 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_hdbscan.py: diff --git a/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt b/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt index f67fbebcdf723..b57e0c859fd6f 100644 --- a/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_inductive_clustering.rst.txt @@ -164,7 +164,7 @@ extends clustering by inducing a classifier from the cluster labels. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.121 seconds) + **Total running time of the script:** ( 0 minutes 2.034 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_inductive_clustering.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt index ea6f24c9c9178..3aa63f513eba1 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_assumptions.rst.txt @@ -314,7 +314,7 @@ to restart it several times to avoid convergence to a local minimum. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.184 seconds) + **Total running time of the script:** ( 0 minutes 1.170 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_assumptions.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt index d0026ab9ad90c..83c0a16125ac7 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt @@ -208,8 +208,8 @@ We will compare three approaches: __________________________________________________________________________________ init time inertia homo compl v-meas ARI AMI silhouette k-means++ 0.038s 69545 0.598 0.645 0.621 0.469 0.617 0.152 - random 0.044s 69735 0.681 0.723 0.701 0.574 0.698 0.170 - PCA-based 0.014s 72686 0.636 0.658 0.647 0.521 0.643 0.142 + random 0.042s 69735 0.681 0.723 0.701 0.574 0.698 0.170 + PCA-based 0.013s 72686 0.636 0.658 0.647 0.521 0.643 0.142 __________________________________________________________________________________ @@ -295,7 +295,7 @@ we can use :class:`~sklearn.decomposition.PCA` to project into a .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.646 seconds) + **Total running time of the script:** ( 0 minutes 0.763 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_digits.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt index e0162a7a07d04..b3959aa55266e 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_plusplus.rst.txt @@ -77,7 +77,7 @@ K-Means++ is used as the default initialization for :ref:`k_means`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.067 seconds) + **Total running time of the script:** ( 0 minutes 0.071 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_plusplus.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt index bdbcde29e6f28..281ce27ac1a65 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_silhouette_analysis.rst.txt @@ -241,7 +241,7 @@ verified from the labelled scatter plot on the right. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.179 seconds) + **Total running time of the script:** ( 0 minutes 1.143 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_silhouette_analysis.py: diff --git a/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt b/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt index dcacc9a1d7d13..5f829086d4239 100644 --- a/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.rst.txt @@ -192,7 +192,7 @@ clusters widely spaced. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.432 seconds) + **Total running time of the script:** ( 0 minutes 1.343 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py: diff --git a/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt b/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt index 8988a74c72ec2..b915a75783427 100644 --- a/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_linkage_comparison.rst.txt @@ -236,7 +236,7 @@ Run the clustering and plot .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.074 seconds) + **Total running time of the script:** ( 0 minutes 2.042 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_linkage_comparison.py: diff --git a/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt b/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt index f08905ce82f42..67e0744f9ffc5 100644 --- a/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_mean_shift.rst.txt @@ -146,7 +146,7 @@ Plot result .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.462 seconds) + **Total running time of the script:** ( 0 minutes 0.452 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_mean_shift.py: diff --git a/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt b/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt index ca3796825dbb5..8cd3e2bf0d8c5 100644 --- a/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_mini_batch_kmeans.rst.txt @@ -232,7 +232,7 @@ Plotting the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.196 seconds) + **Total running time of the script:** ( 0 minutes 0.195 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_mini_batch_kmeans.py: diff --git a/dev/_sources/auto_examples/cluster/plot_optics.rst.txt b/dev/_sources/auto_examples/cluster/plot_optics.rst.txt index 3f5ad90c6d5ad..cb41131dc61d2 100644 --- a/dev/_sources/auto_examples/cluster/plot_optics.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_optics.rst.txt @@ -143,7 +143,7 @@ thresholds in DBSCAN. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.290 seconds) + **Total running time of the script:** ( 0 minutes 1.262 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_optics.py: diff --git a/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt b/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt index 3afbc14cce3e2..70195dfe3ab60 100644 --- a/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_segmentation_toy.rst.txt @@ -237,7 +237,7 @@ circles as the region sizes are easier to balance in this case. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.553 seconds) + **Total running time of the script:** ( 0 minutes 0.514 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_segmentation_toy.py: diff --git a/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt b/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt index a796fab64a3da..1ff9d03b99075 100644 --- a/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt +++ b/dev/_sources/auto_examples/cluster/plot_ward_structured_vs_unstructured.rst.txt @@ -216,7 +216,7 @@ We perform AgglomerativeClustering again with connectivity constraints. .. code-block:: none Compute structured hierarchical clustering... - Elapsed time: 0.08s + Elapsed time: 0.06s Number of points: 1500 @@ -253,7 +253,7 @@ Plotting the structured hierarchical clusters. .. image-sg:: /auto_examples/cluster/images/sphx_glr_plot_ward_structured_vs_unstructured_002.png - :alt: With connectivity constraints (time 0.08s) + :alt: With connectivity constraints (time 0.06s) :srcset: /auto_examples/cluster/images/sphx_glr_plot_ward_structured_vs_unstructured_002.png :class: sphx-glr-single-img @@ -264,7 +264,7 @@ Plotting the structured hierarchical clusters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.420 seconds) + **Total running time of the script:** ( 0 minutes 0.354 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_ward_structured_vs_unstructured.py: diff --git a/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt b/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt index 8309fd8dba949..fc194a94faabe 100644 --- a/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/cluster/sg_execution_times.rst.txt @@ -6,68 +6,68 @@ Computation times ================= -**00:56.516** total execution time for **auto_examples_cluster** files: +**00:53.924** total execution time for **auto_examples_cluster** files: +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``plot_hdbscan.py``) | 00:14.224 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``plot_hdbscan.py``) | 00:14.140 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``plot_cluster_comparison.py``) | 00:06.179 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``plot_cluster_comparison.py``) | 00:05.965 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``plot_coin_segmentation.py``) | 00:05.007 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``plot_coin_segmentation.py``) | 00:04.655 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``plot_birch_vs_minibatchkmeans.py``) | 00:03.839 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``plot_birch_vs_minibatchkmeans.py``) | 00:03.779 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``plot_dict_face_patches.py``) | 00:02.682 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``plot_dict_face_patches.py``) | 00:02.578 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``plot_face_compress.py``) | 00:02.531 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``plot_face_compress.py``) | 00:02.387 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``plot_inductive_clustering.py``) | 00:02.121 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``plot_linkage_comparison.py``) | 00:02.042 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``plot_linkage_comparison.py``) | 00:02.074 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``plot_inductive_clustering.py``) | 00:02.034 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``plot_agglomerative_clustering.py``) | 00:01.996 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``plot_agglomerative_clustering.py``) | 00:01.988 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``plot_kmeans_digits.py``) | 00:01.646 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py` (``plot_digits_linkage.py``) | 00:01.358 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py` (``plot_digits_linkage.py``) | 00:01.547 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py` (``plot_kmeans_stability_low_dim_dense.py``) | 00:01.343 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py` (``plot_kmeans_stability_low_dim_dense.py``) | 00:01.432 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``plot_optics.py``) | 00:01.262 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``plot_optics.py``) | 00:01.290 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py` (``plot_kmeans_assumptions.py``) | 00:01.170 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py` (``plot_kmeans_assumptions.py``) | 00:01.184 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py` (``plot_kmeans_silhouette_analysis.py``) | 00:01.143 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py` (``plot_kmeans_silhouette_analysis.py``) | 00:01.179 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py` (``plot_adjusted_for_chance_measures.py``) | 00:01.126 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py` (``plot_adjusted_for_chance_measures.py``) | 00:01.117 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py` (``plot_agglomerative_clustering_metrics.py``) | 00:01.058 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py` (``plot_agglomerative_clustering_metrics.py``) | 00:01.033 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_bisect_kmeans.py` (``plot_bisect_kmeans.py``) | 00:01.043 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_bisect_kmeans.py` (``plot_bisect_kmeans.py``) | 00:01.027 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``plot_kmeans_digits.py``) | 00:00.763 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py` (``plot_feature_agglomeration_vs_univariate_selection.py``) | 00:00.635 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py` (``plot_color_quantization.py``) | 00:00.528 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py` (``plot_segmentation_toy.py``) | 00:00.553 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py` (``plot_feature_agglomeration_vs_univariate_selection.py``) | 00:00.519 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py` (``plot_color_quantization.py``) | 00:00.527 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py` (``plot_segmentation_toy.py``) | 00:00.514 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py` (``plot_mean_shift.py``) | 00:00.462 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py` (``plot_mean_shift.py``) | 00:00.452 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py` (``plot_coin_ward_segmentation.py``) | 00:00.462 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py` (``plot_coin_ward_segmentation.py``) | 00:00.378 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py` (``plot_ward_structured_vs_unstructured.py``) | 00:00.420 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py` (``plot_ward_structured_vs_unstructured.py``) | 00:00.354 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``plot_affinity_propagation.py``) | 00:00.321 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``plot_affinity_propagation.py``) | 00:00.317 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py` (``plot_cluster_iris.py``) | 00:00.300 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py` (``plot_cluster_iris.py``) | 00:00.301 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py` (``plot_mini_batch_kmeans.py``) | 00:00.196 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py` (``plot_mini_batch_kmeans.py``) | 00:00.195 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``plot_dbscan.py``) | 00:00.184 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``plot_dbscan.py``) | 00:00.187 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py` (``plot_digits_agglomeration.py``) | 00:00.178 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py` (``plot_digits_agglomeration.py``) | 00:00.172 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_dendrogram.py` (``plot_agglomerative_dendrogram.py``) | 00:00.103 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_plusplus.py` (``plot_kmeans_plusplus.py``) | 00:00.067 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_plusplus.py` (``plot_kmeans_plusplus.py``) | 00:00.071 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt b/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt index 8ae679cae5249..d8b711a5f8b2e 100644 --- a/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_column_transformer.rst.txt @@ -319,7 +319,7 @@ topics for ``X_test``. Performance metrics of our pipeline are then printed. .. code-block:: none [Pipeline] ....... (step 1 of 3) Processing subjectbody, total= 0.0s - [Pipeline] ............. (step 2 of 3) Processing union, total= 0.6s + [Pipeline] ............. (step 2 of 3) Processing union, total= 0.4s [Pipeline] ............... (step 3 of 3) Processing svc, total= 0.0s Classification report: @@ -339,7 +339,7 @@ topics for ``X_test``. Performance metrics of our pipeline are then printed. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.323 seconds) + **Total running time of the script:** ( 0 minutes 2.556 seconds) .. _sphx_glr_download_auto_examples_compose_plot_column_transformer.py: diff --git a/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt b/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt index 3e8a0873de688..33dc0f5983930 100644 --- a/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_column_transformer_mixed_types.rst.txt @@ -221,7 +221,7 @@ representation of the estimator is displayed: OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7fa170f82790>))]), + score_func=<function chi2 at 0x7ff85ebc1790>))]), ['embarked', 'sex', 'pclass'])])), ('classifier', LogisticRegression())])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. + score_func=<function chi2 at 0x7ff85ebc1790>))]), + ['embarked', 'sex', 'pclass'])])
['age', 'fare']
SimpleImputer(strategy='median')
StandardScaler()
['embarked', 'sex', 'pclass']
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7ff85ebc1790>)
LogisticRegression()


@@ -374,40 +374,40 @@ can use this information to dispatch the categorical columns to the SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c340>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dbe0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7fa170f82790>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c850>)])), + score_func=<function chi2 at 0x7ff85ebc1790>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>)])), ('classifier', LogisticRegression())])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. + score_func=<function chi2 at 0x7ff85ebc1790>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dbe0>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7ff85ebc1790>)
LogisticRegression()


@@ -501,13 +501,13 @@ the parameter space will be evaluated. SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c340>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dbe0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('s... - score_func=<function chi2 at 0x7fa170f82790>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c850>)])), + score_func=<function chi2 at 0x7ff85ebc1790>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>)])), ('classifier', LogisticRegression())]), param_distributions={'classifier__C': [0.1, 1.0, 10, 100], @@ -523,13 +523,13 @@ the parameter space will be evaluated. SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c340>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dbe0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('s... - score_func=<function chi2 at 0x7fa170f82790>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c850>)])), + score_func=<function chi2 at 0x7ff85ebc1790>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>)])), ('classifier', LogisticRegression())]), param_distributions={'classifier__C': [0.1, 1.0, 10, 100], @@ -545,26 +545,26 @@ the parameter space will be evaluated. SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c340>), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dbe0>), ('cat', Pipeline(steps=[('encoder', OneHotEncoder(handle_unknown='ignore')), ('selector', SelectPercentile(percentile=50, - score_func=<function chi2 at 0x7fa170f82790>))]), - <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c850>)])), + score_func=<function chi2 at 0x7ff85ebc1790>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>)])), ('classifier', LogisticRegression())])
ColumnTransformer(transformers=[('num',
                                      Pipeline(steps=[('imputer',
                                                       SimpleImputer(strategy='median')),
                                                      ('scaler', StandardScaler())]),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c340>),
+                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dbe0>),
                                     ('cat',
                                      Pipeline(steps=[('encoder',
                                                       OneHotEncoder(handle_unknown='ignore')),
                                                      ('selector',
                                                       SelectPercentile(percentile=50,
-                                                                       score_func=<function chi2 at 0x7fa170f82790>))]),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c850>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c340>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7fa13fb1c850>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7fa170f82790>)
LogisticRegression()
+ score_func=<function chi2 at 0x7ff85ebc1790>))]), + <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dbe0>
SimpleImputer(strategy='median')
StandardScaler()
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff82e71dc10>
OneHotEncoder(handle_unknown='ignore')
SelectPercentile(percentile=50, score_func=<function chi2 at 0x7ff85ebc1790>)
LogisticRegression()


@@ -755,7 +755,7 @@ not used for hyperparameter tuning. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.768 seconds) + **Total running time of the script:** ( 0 minutes 1.208 seconds) .. _sphx_glr_download_auto_examples_compose_plot_column_transformer_mixed_types.py: diff --git a/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt b/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt index 62c402e2a7b43..3fe9dfcf5d3a3 100644 --- a/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_compare_reduction.rst.txt @@ -123,7 +123,7 @@ Illustration of ``Pipeline`` and ``GridSearchCV`` NMF(max_iter=1000)], 'reduce_dim__n_components': [2, 4, 8]}, {'classify__C': [1, 10, 100, 1000], - 'reduce_dim': [SelectKBest(score_func=<function mutual_info_classif at 0x7fa170fb1c10>)], + 'reduce_dim': [SelectKBest(score_func=<function mutual_info_classif at 0x7ff85ebd5c10>)], 'reduce_dim__k': [2, 4, 8]}])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. @@ -236,7 +236,7 @@ a transformer is costly. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 59.509 seconds) + **Total running time of the script:** ( 0 minutes 45.138 seconds) .. _sphx_glr_download_auto_examples_compose_plot_compare_reduction.py: diff --git a/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt b/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt index eab800a36bb45..368532998f9de 100644 --- a/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_digits_pipe.rst.txt @@ -127,7 +127,7 @@ We use a GridSearchCV to set the dimensionality of the PCA .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.468 seconds) + **Total running time of the script:** ( 0 minutes 3.638 seconds) .. _sphx_glr_download_auto_examples_compose_plot_digits_pipe.py: diff --git a/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt b/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt index 7e1194f6f371b..88d6b2ea804ab 100644 --- a/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_feature_union.rst.txt @@ -288,7 +288,7 @@ dataset and is only used to illustrate the usage of FeatureUnion. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.601 seconds) + **Total running time of the script:** ( 0 minutes 0.401 seconds) .. _sphx_glr_download_auto_examples_compose_plot_feature_union.py: diff --git a/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt b/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt index f2f44f4fffd9f..f52cc12da25dd 100644 --- a/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt +++ b/dev/_sources/auto_examples/compose/plot_transformed_target.rst.txt @@ -381,7 +381,7 @@ better model fit. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.580 seconds) + **Total running time of the script:** ( 0 minutes 1.256 seconds) .. _sphx_glr_download_auto_examples_compose_plot_transformed_target.py: diff --git a/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt b/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt index cf0476413c339..dbe2fd4170182 100644 --- a/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/compose/sg_execution_times.rst.txt @@ -6,18 +6,18 @@ Computation times ================= -**01:12.250** total execution time for **auto_examples_compose** files: +**00:54.197** total execution time for **auto_examples_compose** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``plot_compare_reduction.py``) | 00:59.509 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``plot_compare_reduction.py``) | 00:45.138 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py` (``plot_digits_pipe.py``) | 00:05.468 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_digits_pipe.py` (``plot_digits_pipe.py``) | 00:03.638 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``plot_column_transformer.py``) | 00:03.323 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``plot_column_transformer.py``) | 00:02.556 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer_mixed_types.py` (``plot_column_transformer_mixed_types.py``) | 00:01.768 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py` (``plot_transformed_target.py``) | 00:01.256 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_transformed_target.py` (``plot_transformed_target.py``) | 00:01.580 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_column_transformer_mixed_types.py` (``plot_column_transformer_mixed_types.py``) | 00:01.208 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py` (``plot_feature_union.py``) | 00:00.601 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_compose_plot_feature_union.py` (``plot_feature_union.py``) | 00:00.401 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt b/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt index 7c8190c844753..cd7488c914414 100644 --- a/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_covariance_estimation.rst.txt @@ -234,7 +234,7 @@ cross-validation, or with the LedoitWolf and OAS estimates. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.435 seconds) + **Total running time of the script:** ( 0 minutes 0.425 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_covariance_estimation.py: diff --git a/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt b/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt index ed1801059385e..5bf4c16a2acc9 100644 --- a/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_lw_vs_oas.rst.txt @@ -150,7 +150,7 @@ Chen et al., IEEE Trans. on Sign. Proc., Volume 58, Issue 10, October 2010. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.451 seconds) + **Total running time of the script:** ( 0 minutes 2.233 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_lw_vs_oas.py: diff --git a/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt b/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt index 27b91421cc8ef..f8cfc7d61e34a 100644 --- a/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_mahalanobis_distances.rst.txt @@ -304,7 +304,7 @@ distribution of inlier samples for robust MCD based Mahalanobis distances. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.303 seconds) + **Total running time of the script:** ( 0 minutes 0.287 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_mahalanobis_distances.py: diff --git a/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt b/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt index 420ce8f4ac718..53e8674b6a056 100644 --- a/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_robust_vs_empirical_covariance.rst.txt @@ -220,7 +220,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.884 seconds) + **Total running time of the script:** ( 0 minutes 2.674 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_robust_vs_empirical_covariance.py: diff --git a/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt b/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt index e99749bcadf96..c61806a9ab4a6 100644 --- a/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt +++ b/dev/_sources/auto_examples/covariance/plot_sparse_cov.rst.txt @@ -248,7 +248,7 @@ Plot the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.553 seconds) + **Total running time of the script:** ( 0 minutes 0.530 seconds) .. _sphx_glr_download_auto_examples_covariance_plot_sparse_cov.py: diff --git a/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt b/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt index cad6bd182478a..83e89794a9f13 100644 --- a/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/covariance/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:06.627** total execution time for **auto_examples_covariance** files: +**00:06.148** total execution time for **auto_examples_covariance** files: +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``plot_robust_vs_empirical_covariance.py``) | 00:02.884 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``plot_robust_vs_empirical_covariance.py``) | 00:02.674 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``plot_lw_vs_oas.py``) | 00:02.451 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``plot_lw_vs_oas.py``) | 00:02.233 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py` (``plot_sparse_cov.py``) | 00:00.553 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py` (``plot_sparse_cov.py``) | 00:00.530 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py` (``plot_covariance_estimation.py``) | 00:00.435 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py` (``plot_covariance_estimation.py``) | 00:00.425 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py` (``plot_mahalanobis_distances.py``) | 00:00.303 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py` (``plot_mahalanobis_distances.py``) | 00:00.287 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt b/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt index c5ded68fe6056..71ad6a4c8f97e 100644 --- a/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt +++ b/dev/_sources/auto_examples/cross_decomposition/plot_compare_cross_decomposition.rst.txt @@ -321,7 +321,7 @@ CCA (PLS mode B with symmetric deflation) .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.228 seconds) + **Total running time of the script:** ( 0 minutes 0.226 seconds) .. _sphx_glr_download_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py: diff --git a/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt b/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt index 2c4a78c680a97..2e7d7d83bc926 100644 --- a/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt +++ b/dev/_sources/auto_examples/cross_decomposition/plot_pcr_vs_pls.rst.txt @@ -277,7 +277,7 @@ component which has the most preditive power on the target. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.471 seconds) + **Total running time of the script:** ( 0 minutes 0.460 seconds) .. _sphx_glr_download_auto_examples_cross_decomposition_plot_pcr_vs_pls.py: diff --git a/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt b/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt index a5929b890803e..bb8cb03775dba 100644 --- a/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/cross_decomposition/sg_execution_times.rst.txt @@ -6,10 +6,10 @@ Computation times ================= -**00:00.699** total execution time for **auto_examples_cross_decomposition** files: +**00:00.686** total execution time for **auto_examples_cross_decomposition** files: +---------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_pcr_vs_pls.py` (``plot_pcr_vs_pls.py``) | 00:00.471 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_pcr_vs_pls.py` (``plot_pcr_vs_pls.py``) | 00:00.460 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py` (``plot_compare_cross_decomposition.py``) | 00:00.228 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_cross_decomposition_plot_compare_cross_decomposition.py` (``plot_compare_cross_decomposition.py``) | 00:00.226 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt b/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt index 53eaa2cb9850e..e64ca44407213 100644 --- a/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt +++ b/dev/_sources/auto_examples/datasets/plot_iris_dataset.rst.txt @@ -122,7 +122,7 @@ information on this dataset. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.153 seconds) + **Total running time of the script:** ( 0 minutes 0.151 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_iris_dataset.py: diff --git a/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt b/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt index 129ad133ef630..a373268e0f309 100644 --- a/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt +++ b/dev/_sources/auto_examples/datasets/plot_random_dataset.rst.txt @@ -95,7 +95,7 @@ The final 2 plots use :func:`~sklearn.datasets.make_blobs` and .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.335 seconds) + **Total running time of the script:** ( 0 minutes 0.330 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_random_dataset.py: diff --git a/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt b/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt index c33958564bd1b..0f8e955085961 100644 --- a/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt +++ b/dev/_sources/auto_examples/datasets/plot_random_multilabel_dataset.rst.txt @@ -155,7 +155,7 @@ feature distinguishes a particular class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.135 seconds) + **Total running time of the script:** ( 0 minutes 0.131 seconds) .. _sphx_glr_download_auto_examples_datasets_plot_random_multilabel_dataset.py: diff --git a/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt b/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt index 5f5c91f72012d..aa5b1b0cf2de0 100644 --- a/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/datasets/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:00.682** total execution time for **auto_examples_datasets** files: +**00:00.671** total execution time for **auto_examples_datasets** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py` (``plot_random_dataset.py``) | 00:00.335 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py` (``plot_random_dataset.py``) | 00:00.330 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_iris_dataset.py` (``plot_iris_dataset.py``) | 00:00.153 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_iris_dataset.py` (``plot_iris_dataset.py``) | 00:00.151 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_datasets_plot_random_multilabel_dataset.py` (``plot_random_multilabel_dataset.py``) | 00:00.135 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_datasets_plot_random_multilabel_dataset.py` (``plot_random_multilabel_dataset.py``) | 00:00.131 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_datasets_plot_digits_last_image.py` (``plot_digits_last_image.py``) | 00:00.059 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt b/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt index d7a07f247b86e..bc85ee708a498 100644 --- a/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_faces_decomposition.rst.txt @@ -595,7 +595,7 @@ coefficients are positively constrained. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 9.772 seconds) + **Total running time of the script:** ( 0 minutes 9.206 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_faces_decomposition.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt b/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt index 8439204dbc969..3fd0c1a1d852f 100644 --- a/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_ica_blind_source_separation.rst.txt @@ -144,7 +144,7 @@ Plot results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.325 seconds) + **Total running time of the script:** ( 0 minutes 0.313 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_ica_blind_source_separation.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt b/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt index 8ff267fee3c5e..9b0ef35cbb397 100644 --- a/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_ica_vs_pca.rst.txt @@ -177,7 +177,7 @@ Plot results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.295 seconds) + **Total running time of the script:** ( 0 minutes 0.280 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_ica_vs_pca.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt b/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt index 4a1c8886f61c5..feb21454b452b 100644 --- a/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_image_denoising.rst.txt @@ -229,7 +229,7 @@ Learn the dictionary from reference patches .. image-sg:: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_002.png - :alt: Dictionary learned from face patches Train time 16.9s on 22692 patches + :alt: Dictionary learned from face patches Train time 17.0s on 22692 patches :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_002.png :class: sphx-glr-single-img @@ -239,7 +239,7 @@ Learn the dictionary from reference patches .. code-block:: none Learning the dictionary... - 2.0 iterations / 125 steps in 16.93. + 2.0 iterations / 125 steps in 17.04. @@ -308,14 +308,14 @@ Extract noisy patches and reconstruct them using the dictionary * .. image-sg:: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_004.png - :alt: Orthogonal Matching Pursuit 2 atoms (time: 1.3s), Image, Difference (norm: 9.37) + :alt: Orthogonal Matching Pursuit 2 atoms (time: 1.1s), Image, Difference (norm: 9.37) :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_004.png :class: sphx-glr-multi-img * .. image-sg:: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_005.png - :alt: Least-angle regression 4 atoms (time: 9.9s), Image, Difference (norm: 13.35) + :alt: Least-angle regression 4 atoms (time: 9.2s), Image, Difference (norm: 13.35) :srcset: /auto_examples/decomposition/images/sphx_glr_plot_image_denoising_005.png :class: sphx-glr-multi-img @@ -335,16 +335,16 @@ Extract noisy patches and reconstruct them using the dictionary done in 0.00s. Orthogonal Matching Pursuit 1 atom... - done in 0.61s. + done in 0.57s. Orthogonal Matching Pursuit 2 atoms... - done in 1.25s. + done in 1.15s. Least-angle regression 4 atoms... - done in 9.92s. + done in 9.22s. Thresholding alpha=0.1... - done in 0.10s. + done in 0.09s. @@ -352,7 +352,7 @@ Extract noisy patches and reconstruct them using the dictionary .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 30.289 seconds) + **Total running time of the script:** ( 0 minutes 29.507 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_image_denoising.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt b/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt index 164e35cb3a4e4..4d12ae5203ad5 100644 --- a/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_incremental_pca.rst.txt @@ -109,7 +109,7 @@ incremental approaches. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.258 seconds) + **Total running time of the script:** ( 0 minutes 0.243 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_incremental_pca.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt b/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt index 01e59b2c8e381..ca87bfc55ca78 100644 --- a/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_kernel_pca.rst.txt @@ -285,7 +285,7 @@ the mapping. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.671 seconds) + **Total running time of the script:** ( 0 minutes 0.587 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_kernel_pca.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt index da115f0f4357e..8043875dbb4b1 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_3d.rst.txt @@ -172,7 +172,7 @@ Plot the figures .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.171 seconds) + **Total running time of the script:** ( 0 minutes 0.162 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_3d.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt index 1be6061f0e63e..cd8093ee9d439 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt @@ -94,7 +94,7 @@ information on this dataset. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.087 seconds) + **Total running time of the script:** ( 0 minutes 0.084 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_iris.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt index b0180c7976f76..0f40987b9f3d1 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_vs_fa_model_selection.rst.txt @@ -228,7 +228,7 @@ Fit the models .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.050 seconds) + **Total running time of the script:** ( 0 minutes 2.653 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt b/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt index 2c40f6904a4b9..ed3d9eef896ba 100644 --- a/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_pca_vs_lda.rst.txt @@ -121,7 +121,7 @@ LDA, in contrast to PCA, is a supervised method, using known class labels. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.219 seconds) + **Total running time of the script:** ( 0 minutes 0.207 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_pca_vs_lda.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt b/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt index 2f63ce437a45c..c4bcfd2b9f451 100644 --- a/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_sparse_coding.rst.txt @@ -155,7 +155,7 @@ is performed in order to stay on the same order of magnitude. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.313 seconds) + **Total running time of the script:** ( 0 minutes 0.288 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_sparse_coding.py: diff --git a/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt b/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt index dfc4d171655bd..cc8fb57ec3d55 100644 --- a/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt +++ b/dev/_sources/auto_examples/decomposition/plot_varimax_fa.rst.txt @@ -186,7 +186,7 @@ Run factor analysis with Varimax rotation .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.372 seconds) + **Total running time of the script:** ( 0 minutes 0.356 seconds) .. _sphx_glr_download_auto_examples_decomposition_plot_varimax_fa.py: diff --git a/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt b/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt index 6c80274f50e90..22e25d658a5d9 100644 --- a/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt @@ -6,30 +6,30 @@ Computation times ================= -**00:45.823** total execution time for **auto_examples_decomposition** files: +**00:43.885** total execution time for **auto_examples_decomposition** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``plot_image_denoising.py``) | 00:30.289 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``plot_image_denoising.py``) | 00:29.507 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``plot_faces_decomposition.py``) | 00:09.772 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``plot_faces_decomposition.py``) | 00:09.206 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``plot_pca_vs_fa_model_selection.py``) | 00:03.050 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``plot_pca_vs_fa_model_selection.py``) | 00:02.653 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_kernel_pca.py` (``plot_kernel_pca.py``) | 00:00.671 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_kernel_pca.py` (``plot_kernel_pca.py``) | 00:00.587 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_varimax_fa.py` (``plot_varimax_fa.py``) | 00:00.372 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_varimax_fa.py` (``plot_varimax_fa.py``) | 00:00.356 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_blind_source_separation.py` (``plot_ica_blind_source_separation.py``) | 00:00.325 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_blind_source_separation.py` (``plot_ica_blind_source_separation.py``) | 00:00.313 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_sparse_coding.py` (``plot_sparse_coding.py``) | 00:00.313 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_sparse_coding.py` (``plot_sparse_coding.py``) | 00:00.288 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_vs_pca.py` (``plot_ica_vs_pca.py``) | 00:00.295 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_ica_vs_pca.py` (``plot_ica_vs_pca.py``) | 00:00.280 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_incremental_pca.py` (``plot_incremental_pca.py``) | 00:00.258 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_incremental_pca.py` (``plot_incremental_pca.py``) | 00:00.243 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py` (``plot_pca_vs_lda.py``) | 00:00.219 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py` (``plot_pca_vs_lda.py``) | 00:00.207 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_3d.py` (``plot_pca_3d.py``) | 00:00.171 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_3d.py` (``plot_pca_3d.py``) | 00:00.162 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``plot_pca_iris.py``) | 00:00.087 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``plot_pca_iris.py``) | 00:00.084 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt index d6b38e5be5702..cb5da5102d7f0 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_hastie_10_2.rst.txt @@ -302,7 +302,7 @@ is lower than that of discrete AdaBoost. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 17.973 seconds) + **Total running time of the script:** ( 0 minutes 16.857 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_hastie_10_2.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt index 8b22efd730a23..a83932022d359 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_multiclass.rst.txt @@ -157,7 +157,7 @@ therefore are not shown. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.913 seconds) + **Total running time of the script:** ( 0 minutes 7.196 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_multiclass.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt index 3bfe86f462417..cc218b260396b 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt @@ -138,7 +138,7 @@ single decision tree regressor and AdaBoost regressor, could fit the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.527 seconds) + **Total running time of the script:** ( 0 minutes 0.459 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_regression.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt b/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt index 7fa4040acb001..ed8d8406bc94b 100644 --- a/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_adaboost_twoclass.rst.txt @@ -159,7 +159,7 @@ with a decision score above some value. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.622 seconds) + **Total running time of the script:** ( 0 minutes 0.614 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_adaboost_twoclass.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt b/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt index 53d7df1a10ea9..1c0400eb2a385 100644 --- a/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_bias_variance.rst.txt @@ -237,7 +237,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.173 seconds) + **Total running time of the script:** ( 0 minutes 1.147 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_bias_variance.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt b/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt index 1f4e9127dae1f..12eaeda5ccc36 100644 --- a/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_ensemble_oob.rst.txt @@ -140,7 +140,7 @@ error stabilizes. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.055 seconds) + **Total running time of the script:** ( 0 minutes 3.673 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_ensemble_oob.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt b/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt index e207ee13adf06..29123d5399be4 100644 --- a/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_feature_transformation.rst.txt @@ -243,18 +243,18 @@ Therefore, we wrapped the call to `apply` within a `FunctionTransformer`. 
Pipeline(steps=[('functiontransformer',
-                     FunctionTransformer(func=<function rf_apply at 0x7fa152333af0>,
+                     FunctionTransformer(func=<function rf_apply at 0x7ff82edd4b80>,
                                          kw_args={'model': RandomForestClassifier(max_depth=3,
                                                                                   n_estimators=10,
                                                                                   random_state=10)})),
                     ('onehotencoder', OneHotEncoder(handle_unknown='ignore')),
                     ('logisticregression', LogisticRegression(max_iter=1000))])
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@@ -290,16 +290,16 @@ Therefore, we wrapped the call to `apply` within a `FunctionTransformer`. 
Pipeline(steps=[('functiontransformer',
-                     FunctionTransformer(func=<function gbdt_apply at 0x7fa151cb8c10>,
+                     FunctionTransformer(func=<function gbdt_apply at 0x7ff82fc759d0>,
                                          kw_args={'model': GradientBoostingClassifier(n_estimators=10,
                                                                                       random_state=10)})),
                     ('onehotencoder', OneHotEncoder(handle_unknown='ignore')),
                     ('logisticregression', LogisticRegression(max_iter=1000))])
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@@ -374,7 +374,7 @@ We can finally show the different ROC curves for all the models. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.270 seconds) + **Total running time of the script:** ( 0 minutes 3.271 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_feature_transformation.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt index d53550dbeafbb..47b8859772a22 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.rst.txt @@ -305,7 +305,7 @@ folds of the cross-validation.
-
+


@@ -341,7 +341,7 @@ accuracy trade-off of the RF models in this case. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 58.786 seconds) + **Total running time of the script:** ( 0 minutes 52.949 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt index a8669bad80f36..41ff2b56915bd 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_importances.rst.txt @@ -210,7 +210,7 @@ and can be computed on a left-out test set. .. code-block:: none - Elapsed time to compute the importances: 0.832 seconds + Elapsed time to compute the importances: 0.798 seconds @@ -255,7 +255,7 @@ permutation importance to fully omit a feature. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.350 seconds) + **Total running time of the script:** ( 0 minutes 1.268 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_importances.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt index 28590876a3d8d..ad606f0877a9a 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_importances_faces.rst.txt @@ -181,7 +181,7 @@ deviation of accumulation of the impurity decrease within each tree. .. code-block:: none - Elapsed time to compute the importances: 0.132 seconds + Elapsed time to compute the importances: 0.144 seconds @@ -205,7 +205,7 @@ the :func:`~sklearn.inspection.permutation_importance`. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.339 seconds) + **Total running time of the script:** ( 0 minutes 1.224 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_importances_faces.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt b/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt index 5c1c948e50012..7ca448c639e48 100644 --- a/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_forest_iris.rst.txt @@ -229,7 +229,7 @@ samples are built sequentially and so do not use multiple cores. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.363 seconds) + **Total running time of the script:** ( 0 minutes 7.086 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_forest_iris.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt index 68f5dd8355a32..cf4d2d0fd51c3 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_categorical.rst.txt @@ -409,7 +409,7 @@ to the baseline model that just dropped the categorical features altogether. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.307 seconds) + **Total running time of the script:** ( 0 minutes 3.872 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_categorical.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt index 021a341453511..b5a57e39f9528 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_early_stopping.rst.txt @@ -235,7 +235,7 @@ Compare fit times with and without early stopping .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.730 seconds) + **Total running time of the script:** ( 0 minutes 3.739 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt index 95d948548096f..81c19b3745a16 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_oob.rst.txt @@ -190,7 +190,7 @@ but is computationally more demanding. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 10.123 seconds) + **Total running time of the script:** ( 0 minutes 9.791 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_oob.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt index ef6eb3c92b203..4208ad926d428 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_quantile.rst.txt @@ -277,18 +277,18 @@ Measure the models with :func:`mean_squared_error` and
- +
- - - - + + + + @@ -300,32 +300,32 @@ Measure the models with :func:`mean_squared_error` and - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + +
 pbl=0.05pbl=0.50pbl=0.95MSEpbl=0.05pbl=0.50pbl=0.95MSE
model
mse0.7154130.7154130.7154137.750348mse0.7154130.7154130.7154137.750348
q 0.050.1271281.2534452.37976318.933253q 0.050.1271281.2534452.37976318.933253
q 0.500.3054380.6228110.9401849.827917q 0.500.3054380.6228110.9401849.827917
q 0.953.9099092.1459570.38200528.667219q 0.953.9099092.1459570.38200528.667219
@@ -377,18 +377,18 @@ We then do the same on the test set.
- +
- - - - + + + + @@ -400,32 +400,32 @@ We then do the same on the test set. - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + +
 pbl=0.05pbl=0.50pbl=0.95MSEpbl=0.05pbl=0.50pbl=0.95MSE
model
mse0.9172810.7674980.6177156.692901mse0.9172810.7674980.6177156.692901
q 0.050.1442041.2459612.34771715.648026q 0.050.1442041.2459612.34771715.648026
q 0.500.4120210.6077520.8034835.874771q 0.500.4120210.6077520.8034835.874771
q 0.954.3543942.3554450.35649734.852774q 0.954.3543942.3554450.35649734.852774
@@ -729,7 +729,7 @@ better assess the variability of those estimates. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 11.403 seconds) + **Total running time of the script:** ( 0 minutes 10.446 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_quantile.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt index 571a918fdc7c8..8bcfb3eba6203 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regression.rst.txt @@ -266,7 +266,7 @@ show that they overlap with 0. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.316 seconds) + **Total running time of the script:** ( 0 minutes 1.274 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_regression.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt index 10109e94028ff..276596e4efb98 100644 --- a/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_gradient_boosting_regularization.rst.txt @@ -126,7 +126,7 @@ analogous to the random splits in Random Forests .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 9.060 seconds) + **Total running time of the script:** ( 0 minutes 8.385 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_gradient_boosting_regularization.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt b/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt index 37e0ae9109678..be68730986825 100644 --- a/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_isolation_forest.rst.txt @@ -227,7 +227,7 @@ values close to `1` and are more likely to be inliers. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.514 seconds) + **Total running time of the script:** ( 0 minutes 0.460 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_isolation_forest.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt b/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt index 50ed2b49a6185..d560d9054f1c3 100644 --- a/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_monotonic_constraints.rst.txt @@ -213,7 +213,7 @@ monotonic constraints by passing a dictionary: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.663 seconds) + **Total running time of the script:** ( 0 minutes 0.627 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_monotonic_constraints.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt b/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt index 3fa75e2013818..6b71c436d0590 100644 --- a/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_random_forest_embedding.rst.txt @@ -143,7 +143,7 @@ original data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.383 seconds) + **Total running time of the script:** ( 0 minutes 0.369 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_random_forest_embedding.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt b/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt index 4749a5b55f150..0c8805039de4f 100644 --- a/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_random_forest_regression_multioutput.rst.txt @@ -132,7 +132,7 @@ x and y coordinate as output. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.628 seconds) + **Total running time of the script:** ( 0 minutes 0.542 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_random_forest_regression_multioutput.py: diff --git a/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt b/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt index 177ca4ed90465..0733d3bc54d45 100644 --- a/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt +++ b/dev/_sources/auto_examples/ensemble/plot_stack_predictors.rst.txt @@ -220,19 +220,19 @@ We will first design the pipeline required for the tree-based models. 
ColumnTransformer(transformers=[('simpleimputer',
                                      SimpleImputer(add_indicator=True),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7fa151292b20>),
+                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82dcf4220>),
                                     ('ordinalencoder',
                                      OrdinalEncoder(encoded_missing_value=-2,
                                                     handle_unknown='use_encoded_value',
                                                     unknown_value=-1),
-                                     <sklearn.compose._column_transformer.make_column_selector object at 0x7fa151292cd0>)])
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+ <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82dcf45e0>)])
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff82dcf4220>
StandardScaler()
SimpleImputer(add_indicator=True)
<sklearn.compose._column_transformer.make_column_selector object at 0x7ff82dcf45e0>
OneHotEncoder(handle_unknown='ignore')
LassoCV()


@@ -381,31 +381,31 @@ Stack of predictors on a single data set 
Pipeline(steps=[('columntransformer',
                      ColumnTransformer(transformers=[('simpleimputer',
                                                       SimpleImputer(add_indicator=True),
-                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7fa151292b20>),
+                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82dcf4220>),
                                                      ('ordinalencoder',
                                                       OrdinalEncoder(encoded_missing_value=-2,
                                                                      handle_unknown='use_encoded_value',
                                                                      unknown_value=-1),
-                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7fa151292cd0>)])),
+                                                      <sklearn.compose._column_transformer.make_column_selector object at 0x7ff82dcf45e0>)])),
                     ('randomforestregressor',
                      RandomForestRegressor(random_state=42))])
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@@ -445,7 +445,7 @@ Plot Precision-Recall curve for each class and iso-f1 curves .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.456 seconds) + **Total running time of the script:** ( 0 minutes 0.417 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_precision_recall.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt b/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt index 84afcb93c3cc2..a51aa7765be1e 100644 --- a/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_randomized_search.rst.txt @@ -46,7 +46,7 @@ simultaneously using grid search, but pick only the ones deemed most important. .. code-block:: none - RandomizedSearchCV took 1.30 seconds for 15 candidates parameter settings. + RandomizedSearchCV took 1.25 seconds for 15 candidates parameter settings. Model with rank: 1 Mean validation score: 0.993 (std: 0.007) Parameters: {'alpha': 0.01761326452827255, 'average': False, 'l1_ratio': 0.14458295175799263} @@ -59,7 +59,7 @@ simultaneously using grid search, but pick only the ones deemed most important. Mean validation score: 0.980 (std: 0.011) Parameters: {'alpha': 0.01672701940764589, 'average': True, 'l1_ratio': 0.5720620992012775} - GridSearchCV took 3.66 seconds for 60 candidate parameter settings. + GridSearchCV took 3.35 seconds for 60 candidate parameter settings. Model with rank: 1 Mean validation score: 0.996 (std: 0.005) Parameters: {'alpha': 0.01, 'average': False, 'l1_ratio': 0.6666666666666666} @@ -157,7 +157,7 @@ simultaneously using grid search, but pick only the ones deemed most important. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.977 seconds) + **Total running time of the script:** ( 0 minutes 4.608 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_randomized_search.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt b/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt index 2281c914beb8b..649e8687f6a93 100644 --- a/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_roc.rst.txt @@ -799,7 +799,7 @@ performance on all the classes is deemed equally important. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.962 seconds) + **Total running time of the script:** ( 0 minutes 0.754 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_roc.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt b/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt index df5978d89bbd3..081949f5ce8bc 100644 --- a/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_roc_crossval.rst.txt @@ -196,7 +196,7 @@ frequent class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.225 seconds) + **Total running time of the script:** ( 0 minutes 0.191 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_roc_crossval.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt b/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt index 41632d7987217..d8f8b6663b84b 100644 --- a/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_successive_halving_heatmap.rst.txt @@ -168,7 +168,7 @@ We now plot heatmaps for both search estimators. .. image-sg:: /auto_examples/model_selection/images/sphx_glr_plot_successive_halving_heatmap_001.png - :alt: Successive Halving time = 1.422s, GridSearch time = 6.472s + :alt: Successive Halving time = 1.368s, GridSearch time = 5.872s :srcset: /auto_examples/model_selection/images/sphx_glr_plot_successive_halving_heatmap_001.png :class: sphx-glr-single-img @@ -192,7 +192,7 @@ class is able to find parameter combinations that are just as accurate as .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.102 seconds) + **Total running time of the script:** ( 0 minutes 7.413 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_successive_halving_heatmap.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt b/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt index 984e9db6f3a88..a0f25a00c678b 100644 --- a/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_successive_halving_iterations.rst.txt @@ -87,24 +87,24 @@ We first define the parameter space and train a 
HalvingRandomSearchCV(estimator=RandomForestClassifier(n_estimators=20,
-                                                           random_state=RandomState(MT19937) at 0x7FA13A7F8240),
+                                                           random_state=RandomState(MT19937) at 0x7FF828473240),
                           factor=2,
                           param_distributions={'bootstrap': [True, False],
                                                'criterion': ['gini', 'entropy'],
                                                'max_depth': [3, None],
-                                               'max_features': <scipy.stats._distn_infrastructure.rv_discrete_frozen object at 0x7fa1512b2910>,
-                                               'min_samples_split': <scipy.stats._distn_infrastructure.rv_discrete_frozen object at 0x7fa13ea64130>},
-                          random_state=RandomState(MT19937) at 0x7FA13A7F8240)
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RandomForestClassifier(n_estimators=20,
+                           random_state=RandomState(MT19937) at 0x7FF828473240)
RandomForestClassifier(n_estimators=20,
+                           random_state=RandomState(MT19937) at 0x7FF828473240)


@@ -172,7 +172,7 @@ last iteration. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.690 seconds) + **Total running time of the script:** ( 0 minutes 4.762 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_successive_halving_iterations.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt b/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt index 4d30845a3b745..b5e5a0e278e96 100644 --- a/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_train_error_vs_test_error.rst.txt @@ -168,7 +168,7 @@ Plot results functions .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.508 seconds) + **Total running time of the script:** ( 0 minutes 6.259 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_train_error_vs_test_error.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt b/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt index 6870fc5c60676..e43467ed68e5e 100644 --- a/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_underfitting_overfitting.rst.txt @@ -114,7 +114,7 @@ training data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.297 seconds) + **Total running time of the script:** ( 0 minutes 0.214 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_underfitting_overfitting.py: diff --git a/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt b/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt index 5e866a4914732..7e26c84a157cb 100644 --- a/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt +++ b/dev/_sources/auto_examples/model_selection/plot_validation_curve.rst.txt @@ -75,7 +75,7 @@ is good but the validation score is poor. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.930 seconds) + **Total running time of the script:** ( 0 minutes 0.633 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_validation_curve.py: diff --git a/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt b/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt index 4744ddc07c1c4..c29147c5c48d1 100644 --- a/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/model_selection/sg_execution_times.rst.txt @@ -6,50 +6,50 @@ Computation times ================= -**02:39.448** total execution time for **auto_examples_model_selection** files: +**02:03.847** total execution time for **auto_examples_model_selection** files: +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py` (``plot_grid_search_text_feature_extraction.py``) | 00:40.979 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py` (``plot_grid_search_text_feature_extraction.py``) | 00:30.961 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``plot_learning_curve.py``) | 00:33.881 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``plot_learning_curve.py``) | 00:24.646 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``plot_permutation_tests_for_classification.py``) | 00:15.430 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``plot_permutation_tests_for_classification.py``) | 00:11.439 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``plot_grid_search_digits.py``) | 00:12.378 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``plot_grid_search_digits.py``) | 00:10.265 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``plot_multi_metric_evaluation.py``) | 00:08.677 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``plot_multi_metric_evaluation.py``) | 00:07.631 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``plot_train_error_vs_test_error.py``) | 00:08.508 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``plot_successive_halving_heatmap.py``) | 00:07.413 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``plot_successive_halving_heatmap.py``) | 00:08.102 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``plot_train_error_vs_test_error.py``) | 00:06.259 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``plot_nested_cross_validation_iris.py``) | 00:07.742 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``plot_nested_cross_validation_iris.py``) | 00:06.064 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``plot_successive_halving_iterations.py``) | 00:06.690 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``plot_successive_halving_iterations.py``) | 00:04.762 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``plot_randomized_search.py``) | 00:04.977 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``plot_randomized_search.py``) | 00:04.608 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``plot_likelihood_ratios.py``) | 00:03.105 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``plot_likelihood_ratios.py``) | 00:02.940 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py` (``plot_grid_search_stats.py``) | 00:02.562 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py` (``plot_grid_search_stats.py``) | 00:01.647 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py` (``plot_cv_indices.py``) | 00:01.492 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py` (``plot_grid_search_refit_callable.py``) | 00:01.321 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py` (``plot_grid_search_refit_callable.py``) | 00:01.336 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py` (``plot_cv_indices.py``) | 00:01.137 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_roc.py` (``plot_roc.py``) | 00:00.962 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_roc.py` (``plot_roc.py``) | 00:00.754 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py` (``plot_validation_curve.py``) | 00:00.930 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py` (``plot_validation_curve.py``) | 00:00.633 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py` (``plot_precision_recall.py``) | 00:00.456 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py` (``plot_precision_recall.py``) | 00:00.417 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``plot_underfitting_overfitting.py``) | 00:00.297 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``plot_underfitting_overfitting.py``) | 00:00.214 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py` (``plot_cv_predict.py``) | 00:00.253 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_det.py` (``plot_det.py``) | 00:00.194 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py` (``plot_confusion_matrix.py``) | 00:00.242 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py` (``plot_roc_crossval.py``) | 00:00.191 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py` (``plot_roc_crossval.py``) | 00:00.225 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py` (``plot_confusion_matrix.py``) | 00:00.186 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_model_selection_plot_det.py` (``plot_det.py``) | 00:00.224 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py` (``plot_cv_predict.py``) | 00:00.166 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt b/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt index fe32dce093a8a..c455035336e95 100644 --- a/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt +++ b/dev/_sources/auto_examples/multioutput/plot_classifier_chain_yeast.rst.txt @@ -148,7 +148,7 @@ with randomly ordered chains). .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.431 seconds) + **Total running time of the script:** ( 0 minutes 2.421 seconds) .. _sphx_glr_download_auto_examples_multioutput_plot_classifier_chain_yeast.py: diff --git a/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt b/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt index ed3f09518706e..baf515f17d754 100644 --- a/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/multioutput/sg_execution_times.rst.txt @@ -6,8 +6,8 @@ Computation times ================= -**00:03.431** total execution time for **auto_examples_multioutput** files: +**00:02.421** total execution time for **auto_examples_multioutput** files: +---------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``plot_classifier_chain_yeast.py``) | 00:03.431 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``plot_classifier_chain_yeast.py``) | 00:02.421 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt b/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt index dddf92f1e6f9f..09c90fdeb0b08 100644 --- a/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_caching_nearest_neighbors.rst.txt @@ -105,7 +105,7 @@ larger, or when the grid of parameter to search is large. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.424 seconds) + **Total running time of the script:** ( 0 minutes 1.045 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_caching_nearest_neighbors.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt b/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt index 285bece6547eb..fa1499864d294 100644 --- a/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_classification.rst.txt @@ -110,7 +110,7 @@ It will plot the decision boundaries for each class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.644 seconds) + **Total running time of the script:** ( 0 minutes 0.525 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_classification.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt b/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt index 387917e289c38..548a336094564 100644 --- a/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_digits_kde_sampling.rst.txt @@ -109,7 +109,7 @@ of the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.830 seconds) + **Total running time of the script:** ( 0 minutes 4.588 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_digits_kde_sampling.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt b/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt index b62e0a56cd9dd..b1e209fdda828 100644 --- a/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_kde_1d.rst.txt @@ -211,7 +211,7 @@ as well. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.792 seconds) + **Total running time of the script:** ( 0 minutes 0.646 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_kde_1d.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt b/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt index 41cf2d0e59bcf..e845ef2e8cbc5 100644 --- a/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_lof_novelty_detection.rst.txt @@ -123,7 +123,7 @@ n_neighbors=20 appears to work well in general. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.760 seconds) + **Total running time of the script:** ( 0 minutes 0.643 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_lof_novelty_detection.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt b/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt index a5d08400f0e00..25aa886d1e154 100644 --- a/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_lof_outlier_detection.rst.txt @@ -150,7 +150,7 @@ Plot results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.108 seconds) + **Total running time of the script:** ( 0 minutes 0.090 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_lof_outlier_detection.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt index c6d54755e443a..997f3e9a47359 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nca_classification.rst.txt @@ -143,7 +143,7 @@ training set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.717 seconds) + **Total running time of the script:** ( 0 minutes 0.503 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nca_classification.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt index 9540ec1b798d0..e62720ca5dd00 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nca_dim_reduction.rst.txt @@ -152,7 +152,7 @@ meaningful despite the large reduction in dimension. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.291 seconds) + **Total running time of the script:** ( 0 minutes 1.802 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nca_dim_reduction.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt index 4448b146b6afb..a57debfea7c86 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nca_illustration.rst.txt @@ -167,7 +167,7 @@ embedding and find the nearest neighbors. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.209 seconds) + **Total running time of the script:** ( 0 minutes 0.171 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nca_illustration.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt b/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt index e81d4a5e6f5f5..2f233472bb364 100644 --- a/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_nearest_centroid.rst.txt @@ -105,7 +105,7 @@ It will plot the decision boundaries for each class. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.235 seconds) + **Total running time of the script:** ( 0 minutes 0.181 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_nearest_centroid.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt b/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt index ef6ede704899f..5a8a5e68a4fe4 100644 --- a/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_regression.rst.txt @@ -112,7 +112,7 @@ Fit regression model .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.230 seconds) + **Total running time of the script:** ( 0 minutes 0.195 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_regression.py: diff --git a/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt b/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt index 0e2e2bc9444ba..f357a77296b70 100644 --- a/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt +++ b/dev/_sources/auto_examples/neighbors/plot_species_kde.rst.txt @@ -201,7 +201,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.335 seconds) + **Total running time of the script:** ( 0 minutes 3.420 seconds) .. _sphx_glr_download_auto_examples_neighbors_plot_species_kde.py: diff --git a/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt b/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt index c38c491a2ee1c..1c78594f423c2 100644 --- a/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/neighbors/sg_execution_times.rst.txt @@ -6,32 +6,32 @@ Computation times ================= -**00:17.574** total execution time for **auto_examples_neighbors** files: +**00:13.810** total execution time for **auto_examples_neighbors** files: +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``plot_digits_kde_sampling.py``) | 00:05.830 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``plot_digits_kde_sampling.py``) | 00:04.588 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``plot_species_kde.py``) | 00:04.335 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``plot_species_kde.py``) | 00:03.420 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``plot_nca_dim_reduction.py``) | 00:02.291 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``plot_nca_dim_reduction.py``) | 00:01.802 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py` (``plot_caching_nearest_neighbors.py``) | 00:01.424 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py` (``plot_caching_nearest_neighbors.py``) | 00:01.045 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_kde_1d.py` (``plot_kde_1d.py``) | 00:00.792 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_kde_1d.py` (``plot_kde_1d.py``) | 00:00.646 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py` (``plot_lof_novelty_detection.py``) | 00:00.760 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py` (``plot_lof_novelty_detection.py``) | 00:00.643 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_classification.py` (``plot_nca_classification.py``) | 00:00.717 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_classification.py` (``plot_classification.py``) | 00:00.525 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_classification.py` (``plot_classification.py``) | 00:00.644 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_classification.py` (``plot_nca_classification.py``) | 00:00.503 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nearest_centroid.py` (``plot_nearest_centroid.py``) | 00:00.235 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``plot_regression.py``) | 00:00.195 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``plot_regression.py``) | 00:00.230 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nearest_centroid.py` (``plot_nearest_centroid.py``) | 00:00.181 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_illustration.py` (``plot_nca_illustration.py``) | 00:00.209 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_nca_illustration.py` (``plot_nca_illustration.py``) | 00:00.171 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_outlier_detection.py` (``plot_lof_outlier_detection.py``) | 00:00.108 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neighbors_plot_lof_outlier_detection.py` (``plot_lof_outlier_detection.py``) | 00:00.090 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_neighbors_approximate_nearest_neighbors.py` (``approximate_nearest_neighbors.py``) | 00:00.000 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt index f8195debd42b4..532962413afe9 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_mlp_alpha.rst.txt @@ -182,7 +182,7 @@ decision boundary. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.690 seconds) + **Total running time of the script:** ( 0 minutes 2.055 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_mlp_alpha.py: diff --git a/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt index c833665e00b88..c556963a904f1 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_mlp_training_curves.rst.txt @@ -277,7 +277,7 @@ Note that those results can be highly dependent on the value of .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.149 seconds) + **Total running time of the script:** ( 0 minutes 3.102 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_mlp_training_curves.py: diff --git a/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt index c27bb0333c7ea..dfb08defab50e 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_mnist_filters.rst.txt @@ -128,7 +128,7 @@ to build this documentation on a regular basis. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 9.988 seconds) + **Total running time of the script:** ( 0 minutes 6.493 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_mnist_filters.py: diff --git a/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt b/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt index fae5df2f44a66..e187a903bd665 100644 --- a/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/plot_rbm_logistic_classification.rst.txt @@ -174,16 +174,16 @@ reproduced here because of runtime constraints. .. code-block:: none - [BernoulliRBM] Iteration 1, pseudo-likelihood = -25.57, time = 0.13s - [BernoulliRBM] Iteration 2, pseudo-likelihood = -23.68, time = 0.20s - [BernoulliRBM] Iteration 3, pseudo-likelihood = -22.88, time = 0.19s - [BernoulliRBM] Iteration 4, pseudo-likelihood = -21.91, time = 0.16s - [BernoulliRBM] Iteration 5, pseudo-likelihood = -21.79, time = 0.15s - [BernoulliRBM] Iteration 6, pseudo-likelihood = -20.96, time = 0.16s - [BernoulliRBM] Iteration 7, pseudo-likelihood = -20.88, time = 0.16s - [BernoulliRBM] Iteration 8, pseudo-likelihood = -20.50, time = 0.15s - [BernoulliRBM] Iteration 9, pseudo-likelihood = -20.34, time = 0.15s - [BernoulliRBM] Iteration 10, pseudo-likelihood = -20.21, time = 0.15s + [BernoulliRBM] Iteration 1, pseudo-likelihood = -25.57, time = 0.09s + [BernoulliRBM] Iteration 2, pseudo-likelihood = -23.68, time = 0.13s + [BernoulliRBM] Iteration 3, pseudo-likelihood = -22.88, time = 0.13s + [BernoulliRBM] Iteration 4, pseudo-likelihood = -21.91, time = 0.13s + [BernoulliRBM] Iteration 5, pseudo-likelihood = -21.79, time = 0.13s + [BernoulliRBM] Iteration 6, pseudo-likelihood = -20.96, time = 0.13s + [BernoulliRBM] Iteration 7, pseudo-likelihood = -20.88, time = 0.13s + [BernoulliRBM] Iteration 8, pseudo-likelihood = -20.50, time = 0.12s + [BernoulliRBM] Iteration 9, pseudo-likelihood = -20.34, time = 0.12s + [BernoulliRBM] Iteration 10, pseudo-likelihood = -20.21, time = 0.12s .. raw:: html @@ -326,7 +326,7 @@ Plotting .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.062 seconds) + **Total running time of the script:** ( 0 minutes 4.818 seconds) .. _sphx_glr_download_auto_examples_neural_networks_plot_rbm_logistic_classification.py: diff --git a/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt b/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt index 5555e55eb8c9a..f89e01b413dba 100644 --- a/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/neural_networks/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:22.888** total execution time for **auto_examples_neural_networks** files: +**00:16.469** total execution time for **auto_examples_neural_networks** files: +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``plot_mnist_filters.py``) | 00:09.988 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``plot_mnist_filters.py``) | 00:06.493 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``plot_rbm_logistic_classification.py``) | 00:06.062 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``plot_rbm_logistic_classification.py``) | 00:04.818 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``plot_mlp_training_curves.py``) | 00:04.149 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``plot_mlp_training_curves.py``) | 00:03.102 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``plot_mlp_alpha.py``) | 00:02.690 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``plot_mlp_alpha.py``) | 00:02.055 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt index a05b58bbb2299..41cfd2a5fb6a6 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_all_scaling.rst.txt @@ -617,7 +617,7 @@ case if some original features had a mix of positive and negative values. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 10.404 seconds) + **Total running time of the script:** ( 0 minutes 8.762 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_all_scaling.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt index 986203c1f6274..8ede377aaa778 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_discretization.rst.txt @@ -126,7 +126,7 @@ up the data anywhere. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.251 seconds) + **Total running time of the script:** ( 0 minutes 0.194 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_discretization.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt index 56ed0da03aab5..1044fafd04dd0 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_discretization_classification.rst.txt @@ -302,7 +302,7 @@ set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.408 seconds) + **Total running time of the script:** ( 0 minutes 3.365 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_discretization_classification.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt index 21810a9377083..f5079d1b86d5b 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt @@ -171,7 +171,7 @@ The plot shows the regions where the discretized encoding is constant. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.932 seconds) + **Total running time of the script:** ( 0 minutes 0.715 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_discretization_strategies.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt index 6857fdb082915..ea09e7b4ac600 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_map_data_to_normal.rst.txt @@ -180,7 +180,7 @@ is prone to overfitting. The use of the power transform is then recommended. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.569 seconds) + **Total running time of the script:** ( 0 minutes 1.877 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_map_data_to_normal.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt index ca75d61da7f95..551edd88f66d7 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_scaling_importance.rst.txt @@ -405,7 +405,7 @@ the scaling step. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.088 seconds) + **Total running time of the script:** ( 0 minutes 1.349 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_scaling_importance.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt index 09fa3159c5c42..2be844d43363a 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_target_encoder.rst.txt @@ -517,7 +517,7 @@ can be explained as follows: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 28.793 seconds) + **Total running time of the script:** ( 0 minutes 23.361 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_target_encoder.py: diff --git a/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt b/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt index 3bae5f7bf5e4f..997c0db394471 100644 --- a/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/plot_target_encoder_cross_val.rst.txt @@ -353,7 +353,7 @@ pipeline is fitted, the pipeline will correctly call .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.363 seconds) + **Total running time of the script:** ( 0 minutes 0.304 seconds) .. _sphx_glr_download_auto_examples_preprocessing_plot_target_encoder_cross_val.py: diff --git a/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt b/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt index 1e22ee5ebe36d..9b177ac5f2e0c 100644 --- a/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/preprocessing/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:49.808** total execution time for **auto_examples_preprocessing** files: +**00:39.926** total execution time for **auto_examples_preprocessing** files: +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``plot_target_encoder.py``) | 00:28.793 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``plot_target_encoder.py``) | 00:23.361 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``plot_all_scaling.py``) | 00:10.404 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``plot_all_scaling.py``) | 00:08.762 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``plot_discretization_classification.py``) | 00:04.408 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``plot_discretization_classification.py``) | 00:03.365 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``plot_map_data_to_normal.py``) | 00:02.569 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``plot_map_data_to_normal.py``) | 00:01.877 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_scaling_importance.py` (``plot_scaling_importance.py``) | 00:02.088 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_scaling_importance.py` (``plot_scaling_importance.py``) | 00:01.349 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_strategies.py` (``plot_discretization_strategies.py``) | 00:00.932 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_strategies.py` (``plot_discretization_strategies.py``) | 00:00.715 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder_cross_val.py` (``plot_target_encoder_cross_val.py``) | 00:00.363 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder_cross_val.py` (``plot_target_encoder_cross_val.py``) | 00:00.304 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``plot_discretization.py``) | 00:00.251 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``plot_discretization.py``) | 00:00.194 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt index 8e64b995587cf..52f5bec02e2a2 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_22_0.rst.txt @@ -501,7 +501,7 @@ Read more in the :ref:`User Guide `. .. code-block:: none - 0.9895999999999999 + 0.9904000000000001 @@ -509,7 +509,7 @@ Read more in the :ref:`User Guide `. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.474 seconds) + **Total running time of the script:** ( 0 minutes 1.390 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_0_22_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt index ab45e65e7feb7..c947bb42a2e12 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_23_0.rst.txt @@ -217,7 +217,7 @@ please refer to our :ref:`parallelism` notes. .. code-block:: none - 0.8483587861239001 + 0.6560362663398501 @@ -341,7 +341,7 @@ The two linear regressors :class:`~sklearn.linear_model.Lasso` and .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.662 seconds) + **Total running time of the script:** ( 0 minutes 0.634 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_0_23_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt index ce599353765b1..ccafbd0c46fb4 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_0_24_0.rst.txt @@ -270,7 +270,7 @@ models, but uses much less memory than .. code-block:: none - 0.7386 + 0.7342 @@ -417,7 +417,7 @@ to improve the understanding of machine learning practices: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 14.790 seconds) + **Total running time of the script:** ( 0 minutes 12.260 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_0_24_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt index 8affa88939536..187d9641eea69 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_0_0.rst.txt @@ -345,7 +345,7 @@ documentation. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.025 seconds) + **Total running time of the script:** ( 0 minutes 0.016 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_0_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt index 226a665578997..4a59ff2a58466 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_1_0.rst.txt @@ -460,7 +460,7 @@ hierarchical structure to the clustering. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.278 seconds) + **Total running time of the script:** ( 0 minutes 1.001 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_1_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt index 295b45f621290..913ea6ad97ac1 100644 --- a/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/plot_release_highlights_1_2_0.rst.txt @@ -499,7 +499,7 @@ A detailed list of the impacted estimators can be found in the .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.538 seconds) + **Total running time of the script:** ( 0 minutes 4.972 seconds) .. _sphx_glr_download_auto_examples_release_highlights_plot_release_highlights_1_2_0.py: diff --git a/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt b/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt index d9f7fa49bda7f..50bf23cc06a08 100644 --- a/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/release_highlights/sg_execution_times.rst.txt @@ -6,18 +6,18 @@ Computation times ================= -**00:23.767** total execution time for **auto_examples_release_highlights** files: +**00:20.273** total execution time for **auto_examples_release_highlights** files: +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py` (``plot_release_highlights_0_24_0.py``) | 00:14.790 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py` (``plot_release_highlights_0_24_0.py``) | 00:12.260 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``plot_release_highlights_1_2_0.py``) | 00:05.538 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``plot_release_highlights_1_2_0.py``) | 00:04.972 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py` (``plot_release_highlights_0_22_0.py``) | 00:01.474 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py` (``plot_release_highlights_0_22_0.py``) | 00:01.390 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py` (``plot_release_highlights_1_1_0.py``) | 00:01.278 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py` (``plot_release_highlights_1_1_0.py``) | 00:01.001 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_23_0.py` (``plot_release_highlights_0_23_0.py``) | 00:00.662 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_23_0.py` (``plot_release_highlights_0_23_0.py``) | 00:00.634 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py` (``plot_release_highlights_1_0_0.py``) | 00:00.025 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py` (``plot_release_highlights_1_0_0.py``) | 00:00.016 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt index c4a2fd78a2fb4..7b63f3f82f533 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits.rst.txt @@ -226,7 +226,7 @@ Confusion matrix .. code-block:: none - + @@ -308,7 +308,7 @@ Plot .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.418 seconds) + **Total running time of the script:** ( 0 minutes 0.374 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_label_propagation_digits.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt index 79a460095e417..18dd8b3e47174 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_digits_active_learning.rst.txt @@ -319,7 +319,7 @@ model with their true labels. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.822 seconds) + **Total running time of the script:** ( 0 minutes 0.613 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt index aa718156dc793..63aece03cd6b2 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_label_propagation_structure.rst.txt @@ -203,7 +203,7 @@ when the label was unknown. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.189 seconds) + **Total running time of the script:** ( 0 minutes 0.166 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_label_propagation_structure.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt index 8b7a07c5e933b..d3ee21744b47e 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_self_training_varying_threshold.rst.txt @@ -154,7 +154,7 @@ around 0.7. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.008 seconds) + **Total running time of the script:** ( 0 minutes 5.608 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_self_training_varying_threshold.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt index 00b2f2fbc74c8..04641183b2b9c 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.rst.txt @@ -189,7 +189,7 @@ loader or setting them to `None` to get all 20 of them. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.772 seconds) + **Total running time of the script:** ( 0 minutes 7.108 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py: diff --git a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt index dec3f105b46f3..c549250b70e6f 100644 --- a/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.rst.txt @@ -124,7 +124,7 @@ identical to training the SVC on 100% of the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.358 seconds) + **Total running time of the script:** ( 0 minutes 0.943 seconds) .. _sphx_glr_download_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py: diff --git a/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt b/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt index 32dbd60e06d79..f5a38561c4ba9 100644 --- a/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/semi_supervised/sg_execution_times.rst.txt @@ -6,18 +6,18 @@ Computation times ================= -**00:18.568** total execution time for **auto_examples_semi_supervised** files: +**00:14.813** total execution time for **auto_examples_semi_supervised** files: +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``plot_semi_supervised_newsgroups.py``) | 00:08.772 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``plot_semi_supervised_newsgroups.py``) | 00:07.108 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``plot_self_training_varying_threshold.py``) | 00:07.008 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``plot_self_training_varying_threshold.py``) | 00:05.608 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py` (``plot_semi_supervised_versus_svm_iris.py``) | 00:01.358 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py` (``plot_semi_supervised_versus_svm_iris.py``) | 00:00.943 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py` (``plot_label_propagation_digits_active_learning.py``) | 00:00.822 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits_active_learning.py` (``plot_label_propagation_digits_active_learning.py``) | 00:00.613 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits.py` (``plot_label_propagation_digits.py``) | 00:00.418 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_digits.py` (``plot_label_propagation_digits.py``) | 00:00.374 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_structure.py` (``plot_label_propagation_structure.py``) | 00:00.189 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_semi_supervised_plot_label_propagation_structure.py` (``plot_label_propagation_structure.py``) | 00:00.166 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt b/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt index 81faa2bf75207..02e82dd3db764 100644 --- a/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_custom_kernel.rst.txt @@ -92,7 +92,7 @@ plot the decision surface and the support vectors. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.123 seconds) + **Total running time of the script:** ( 0 minutes 0.097 seconds) .. _sphx_glr_download_auto_examples_svm_plot_custom_kernel.py: diff --git a/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt b/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt index 9cd30cfa16b25..f9744434dc2a7 100644 --- a/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_iris_svc.rst.txt @@ -124,7 +124,7 @@ kernel and its parameters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.258 seconds) + **Total running time of the script:** ( 0 minutes 0.222 seconds) .. _sphx_glr_download_auto_examples_svm_plot_iris_svc.py: diff --git a/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt b/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt index 93d78efb18300..be3ab2f319397 100644 --- a/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_linearsvc_support_vectors.rst.txt @@ -93,7 +93,7 @@ vectors in LinearSVC. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.192 seconds) + **Total running time of the script:** ( 0 minutes 0.170 seconds) .. _sphx_glr_download_auto_examples_svm_plot_linearsvc_support_vectors.py: diff --git a/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt b/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt index c75fe1d72b7e1..3d100d28f395c 100644 --- a/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_oneclass.rst.txt @@ -106,7 +106,7 @@ classifying new data as similar or different to the training set. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.444 seconds) + **Total running time of the script:** ( 0 minutes 0.378 seconds) .. _sphx_glr_download_auto_examples_svm_plot_oneclass.py: diff --git a/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt b/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt index 68777609a889b..b5b77a2a63882 100644 --- a/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_rbf_parameters.rst.txt @@ -356,7 +356,7 @@ the same color. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.890 seconds) + **Total running time of the script:** ( 0 minutes 4.892 seconds) .. _sphx_glr_download_auto_examples_svm_plot_rbf_parameters.py: diff --git a/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt b/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt index c262dd806a4f7..e3747cc1afdbb 100644 --- a/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_separating_hyperplane.rst.txt @@ -83,7 +83,7 @@ linear kernel. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.087 seconds) + **Total running time of the script:** ( 0 minutes 0.072 seconds) .. _sphx_glr_download_auto_examples_svm_plot_separating_hyperplane.py: diff --git a/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt b/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt index 72275e8f17c9e..311589d3cd873 100644 --- a/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_separating_hyperplane_unbalanced.rst.txt @@ -123,7 +123,7 @@ unbalanced classes. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.198 seconds) + **Total running time of the script:** ( 0 minutes 0.174 seconds) .. _sphx_glr_download_auto_examples_svm_plot_separating_hyperplane_unbalanced.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt index a701669215654..006c9b491fae6 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_anova.rst.txt @@ -130,7 +130,7 @@ Plot the cross-validation score as a function of percentile of features .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.411 seconds) + **Total running time of the script:** ( 0 minutes 0.310 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_anova.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt index 657420b7096f7..529d3f3cc5ca2 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_kernels.rst.txt @@ -146,7 +146,7 @@ data-points are not linearly separable. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.219 seconds) + **Total running time of the script:** ( 0 minutes 0.191 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_kernels.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt index 584da49192fea..a1459b7e7f8a6 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_margin.rst.txt @@ -156,7 +156,7 @@ the margins to be calculated using all the data in the area. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.101 seconds) + **Total running time of the script:** ( 0 minutes 0.081 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_margin.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt index 78e577df12e95..7489f05ae203f 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_nonlinear.rst.txt @@ -80,7 +80,7 @@ The color map illustrates the decision function learned by the SVC. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.896 seconds) + **Total running time of the script:** ( 0 minutes 1.464 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_nonlinear.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt index 07cac3b009acb..70836ad778167 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_regression.rst.txt @@ -150,7 +150,7 @@ Look at the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.771 seconds) + **Total running time of the script:** ( 0 minutes 2.547 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_regression.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt index 243c5b152c418..d866ff599346c 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_scale_c.rst.txt @@ -309,7 +309,7 @@ not scaled. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.455 seconds) + **Total running time of the script:** ( 0 minutes 6.546 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_scale_c.py: diff --git a/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt b/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt index b966df2e685ea..e188d47078d91 100644 --- a/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_svm_tie_breaking.rst.txt @@ -101,7 +101,7 @@ create a non-convex decision boundary in that area. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.059 seconds) + **Total running time of the script:** ( 0 minutes 0.962 seconds) .. _sphx_glr_download_auto_examples_svm_plot_svm_tie_breaking.py: diff --git a/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt b/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt index 96ae4141b9d93..9527aea918d89 100644 --- a/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt +++ b/dev/_sources/auto_examples/svm/plot_weighted_samples.rst.txt @@ -107,7 +107,7 @@ deformation of the decision boundary very visible. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.653 seconds) + **Total running time of the script:** ( 0 minutes 0.500 seconds) .. _sphx_glr_download_auto_examples_svm_plot_weighted_samples.py: diff --git a/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt b/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt index 5105c4fc05cca..b4bc5c86285fd 100644 --- a/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/svm/sg_execution_times.rst.txt @@ -6,36 +6,36 @@ Computation times ================= -**00:21.759** total execution time for **auto_examples_svm** files: +**00:18.607** total execution time for **auto_examples_svm** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``plot_svm_scale_c.py``) | 00:07.455 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``plot_svm_scale_c.py``) | 00:06.546 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``plot_rbf_parameters.py``) | 00:05.890 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``plot_rbf_parameters.py``) | 00:04.892 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` (``plot_svm_regression.py``) | 00:02.771 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` (``plot_svm_regression.py``) | 00:02.547 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py` (``plot_svm_nonlinear.py``) | 00:01.896 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py` (``plot_svm_nonlinear.py``) | 00:01.464 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` (``plot_svm_tie_breaking.py``) | 00:01.059 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` (``plot_svm_tie_breaking.py``) | 00:00.962 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py` (``plot_weighted_samples.py``) | 00:00.653 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py` (``plot_weighted_samples.py``) | 00:00.500 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py` (``plot_oneclass.py``) | 00:00.444 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py` (``plot_oneclass.py``) | 00:00.378 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py` (``plot_svm_anova.py``) | 00:00.411 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py` (``plot_svm_anova.py``) | 00:00.310 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py` (``plot_iris_svc.py``) | 00:00.258 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py` (``plot_iris_svc.py``) | 00:00.222 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py` (``plot_svm_kernels.py``) | 00:00.219 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py` (``plot_svm_kernels.py``) | 00:00.191 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py` (``plot_separating_hyperplane_unbalanced.py``) | 00:00.198 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py` (``plot_separating_hyperplane_unbalanced.py``) | 00:00.174 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` (``plot_linearsvc_support_vectors.py``) | 00:00.192 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` (``plot_linearsvc_support_vectors.py``) | 00:00.170 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py` (``plot_custom_kernel.py``) | 00:00.123 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py` (``plot_custom_kernel.py``) | 00:00.097 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py` (``plot_svm_margin.py``) | 00:00.101 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py` (``plot_svm_margin.py``) | 00:00.081 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py` (``plot_separating_hyperplane.py``) | 00:00.087 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py` (``plot_separating_hyperplane.py``) | 00:00.072 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt b/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt index 4e05fc5650ed2..7fa95c86f61d0 100644 --- a/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt +++ b/dev/_sources/auto_examples/text/plot_document_classification_20newsgroups.rst.txt @@ -197,9 +197,9 @@ metadata stripping. 2034 documents - 3.98MB (training set) 1353 documents - 2.87MB (test set) 4 categories - vectorize training done in 0.463s at 8.601MB/s + vectorize training done in 0.365s at 10.898MB/s n_samples: 2034, n_features: 7831 - vectorize testing done in 0.359s at 7.997MB/s + vectorize testing done in 0.228s at 12.598MB/s n_samples: 1353, n_features: 7831 @@ -721,8 +721,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: LogisticRegression(C=5, max_iter=1000) - train time: 0.397s - test time: 0.000998s + train time: 0.31s + test time: 0.00061s accuracy: 0.773 dimensionality: 5316 density: 1.0 @@ -733,8 +733,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: RidgeClassifier(solver='sparse_cg') - train time: 0.0446s - test time: 0.000687s + train time: 0.0375s + test time: 0.000618s accuracy: 0.76 dimensionality: 5316 density: 1.0 @@ -745,8 +745,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: KNeighborsClassifier(n_neighbors=100) - train time: 0.00105s - test time: 5.95s + train time: 0.000777s + test time: 5.79s accuracy: 0.753 ================================================================================ @@ -754,8 +754,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: RandomForestClassifier() - train time: 1.49s - test time: 0.0688s + train time: 1.41s + test time: 0.0656s accuracy: 0.704 ================================================================================ @@ -763,8 +763,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: LinearSVC(C=0.1, dual=False) - train time: 0.0308s - test time: 0.000658s + train time: 0.0301s + test time: 0.000576s accuracy: 0.752 dimensionality: 5316 density: 1.0 @@ -775,8 +775,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: SGDClassifier(early_stopping=True, loss='log_loss', n_iter_no_change=3) - train time: 0.0277s - test time: 0.000624s + train time: 0.0257s + test time: 0.000545s accuracy: 0.762 dimensionality: 5316 density: 1.0 @@ -787,8 +787,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: NearestCentroid() - train time: 0.00286s - test time: 0.00139s + train time: 0.00277s + test time: 0.0013s accuracy: 0.748 ================================================================================ @@ -796,8 +796,8 @@ for a demo on how such tuning can be done. ________________________________________________________________________________ Training: ComplementNB(alpha=0.1) - train time: 0.00193s - test time: 0.000502s + train time: 0.00185s + test time: 0.000462s accuracy: 0.779 @@ -898,7 +898,7 @@ classification problems. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 13.248 seconds) + **Total running time of the script:** ( 0 minutes 12.188 seconds) .. _sphx_glr_download_auto_examples_text_plot_document_classification_20newsgroups.py: diff --git a/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt b/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt index ec5669616c3a4..356e5dddf6ba6 100644 --- a/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt +++ b/dev/_sources/auto_examples/text/plot_document_clustering.rst.txt @@ -269,7 +269,7 @@ IDF normalization as provided by .. code-block:: none - vectorization done in 0.427 s + vectorization done in 0.377 s n_samples: 3387, n_features: 7929 @@ -391,7 +391,7 @@ best inertia (objective function of k-means) is chosen. .. code-block:: none - clustering done in 0.21 Β± 0.04 s + clustering done in 0.18 Β± 0.03 s Homogeneity: 0.358 Β± 0.007 Completeness: 0.405 Β± 0.005 V-measure: 0.380 Β± 0.005 @@ -450,7 +450,7 @@ the information retrieval and text mining literature. .. code-block:: none - LSA done in 0.396 s + LSA done in 0.324 s Explained variance of the SVD step: 18.4% @@ -620,7 +620,7 @@ the hashed vector space. .. code-block:: none - vectorization done in 1.754 s + vectorization done in 1.518 s @@ -774,7 +774,7 @@ quality compared to the traditional k-means algorithm. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.887 seconds) + **Total running time of the script:** ( 0 minutes 7.076 seconds) .. _sphx_glr_download_auto_examples_text_plot_document_clustering.py: diff --git a/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt b/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt index 8ecf1685c4d16..b568898730c02 100644 --- a/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt +++ b/dev/_sources/auto_examples/text/plot_hashing_vs_dict_vectorizer.rst.txt @@ -236,7 +236,7 @@ both of them receive dictionaries as input. .. code-block:: none - done in 1.095 s at 5.7 MB/s + done in 1.019 s at 6.1 MB/s Found 47928 unique terms @@ -376,7 +376,7 @@ The default number of features for the .. code-block:: none - done in 0.572 s at 10.9 MB/s + done in 0.556 s at 11.2 MB/s Found 43873 unique tokens @@ -416,7 +416,7 @@ majority of them is inactive. .. code-block:: none - done in 0.567 s at 11.0 MB/s + done in 0.554 s at 11.3 MB/s Found 47668 unique tokens @@ -458,7 +458,7 @@ passing a dictionary with an implied frequency of 1 for each feature name. .. code-block:: none - done in 0.521 s at 12.0 MB/s + done in 0.497 s at 12.6 MB/s Found 43873 unique tokens @@ -546,7 +546,7 @@ is more flexible. In particular it accepts various regex patterns through the .. code-block:: none - done in 0.694 s at 9.0 MB/s + done in 0.644 s at 9.7 MB/s Found 47885 unique terms @@ -592,7 +592,7 @@ preprocessing and tokenization of the .. code-block:: none - done in 0.473 s at 13.2 MB/s + done in 0.468 s at 13.4 MB/s @@ -647,7 +647,7 @@ normalizing and weighting from a .. code-block:: none - done in 0.698 s at 8.9 MB/s + done in 0.649 s at 9.6 MB/s Found 47885 unique terms @@ -709,7 +709,7 @@ compiles a regular expression once and then reuses it for all the documents. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.132 seconds) + **Total running time of the script:** ( 0 minutes 4.872 seconds) .. _sphx_glr_download_auto_examples_text_plot_hashing_vs_dict_vectorizer.py: diff --git a/dev/_sources/auto_examples/text/sg_execution_times.rst.txt b/dev/_sources/auto_examples/text/sg_execution_times.rst.txt index f4bc5751b4004..12951d7f4fe24 100644 --- a/dev/_sources/auto_examples/text/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/text/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:26.267** total execution time for **auto_examples_text** files: +**00:24.136** total execution time for **auto_examples_text** files: +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``plot_document_classification_20newsgroups.py``) | 00:13.248 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``plot_document_classification_20newsgroups.py``) | 00:12.188 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``plot_document_clustering.py``) | 00:07.887 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``plot_document_clustering.py``) | 00:07.076 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``plot_hashing_vs_dict_vectorizer.py``) | 00:05.132 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``plot_hashing_vs_dict_vectorizer.py``) | 00:04.872 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt b/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt index ef21840eb8187..eaaabf5033054 100644 --- a/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_cost_complexity_pruning.rst.txt @@ -230,7 +230,7 @@ In this example, setting ``ccp_alpha=0.015`` maximizes the testing accuracy. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.441 seconds) + **Total running time of the script:** ( 0 minutes 0.423 seconds) .. _sphx_glr_download_auto_examples_tree_plot_cost_complexity_pruning.py: diff --git a/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt b/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt index 8560462ef8bb7..9c2c266ef7783 100644 --- a/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_iris_dtc.rst.txt @@ -184,7 +184,7 @@ together. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.832 seconds) + **Total running time of the script:** ( 0 minutes 0.813 seconds) .. _sphx_glr_download_auto_examples_tree_plot_iris_dtc.py: diff --git a/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt b/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt index 9265d2210bb54..005bd946e11c1 100644 --- a/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_tree_regression.rst.txt @@ -85,7 +85,7 @@ details of the training data and learn from the noise, i.e. they overfit. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.094 seconds) + **Total running time of the script:** ( 0 minutes 0.092 seconds) .. _sphx_glr_download_auto_examples_tree_plot_tree_regression.py: diff --git a/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt b/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt index 106d79df14217..121da1f28021d 100644 --- a/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt +++ b/dev/_sources/auto_examples/tree/plot_unveil_tree_structure.rst.txt @@ -329,7 +329,7 @@ through. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.097 seconds) + **Total running time of the script:** ( 0 minutes 0.092 seconds) .. _sphx_glr_download_auto_examples_tree_plot_unveil_tree_structure.py: diff --git a/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt b/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt index 5fbe7508fdad5..c05585f6c2556 100644 --- a/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/tree/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:01.704** total execution time for **auto_examples_tree** files: +**00:01.659** total execution time for **auto_examples_tree** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py` (``plot_iris_dtc.py``) | 00:00.832 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py` (``plot_iris_dtc.py``) | 00:00.813 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py` (``plot_cost_complexity_pruning.py``) | 00:00.441 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py` (``plot_cost_complexity_pruning.py``) | 00:00.423 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_tree_plot_tree_regression_multioutput.py` (``plot_tree_regression_multioutput.py``) | 00:00.239 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py` (``plot_unveil_tree_structure.py``) | 00:00.097 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression.py` (``plot_tree_regression.py``) | 00:00.092 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_tree_plot_tree_regression.py` (``plot_tree_regression.py``) | 00:00.094 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py` (``plot_unveil_tree_structure.py``) | 00:00.092 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/dev/_sources/whats_new/v1.3.rst.txt b/dev/_sources/whats_new/v1.3.rst.txt index 252b07325516f..ab3297f586a1f 100644 --- a/dev/_sources/whats_new/v1.3.rst.txt +++ b/dev/_sources/whats_new/v1.3.rst.txt @@ -421,10 +421,11 @@ Changelog ......................... - |Enhancement| Added support for `sample_weight` in - :func:`inspection.partial_dependence`. This allows for weighted averaging when - aggregating for each value of the grid we are making the inspection on. The - option is only available when `method` is set to `brute`. :pr:`25209` - by :user:`Carlo Lemos `. + :func:`inspection.partial_dependence` and + :meth:`inspection.PartialDependenceDisplay.from_estimator`. This allows for + weighted averaging when aggregating for each value of the grid we are making the + inspection on. The option is only available when `method` is set to `brute`. + :pr:`25209` and :pr:`26644` by :user:`Carlo Lemos `. - |API| :func:`inspection.partial_dependence` returns a :class:`utils.Bunch` with new key: `grid_values`. The `values` key is deprecated in favor of `grid_values` diff --git a/dev/auto_examples/applications/plot_cyclical_feature_engineering.html b/dev/auto_examples/applications/plot_cyclical_feature_engineering.html index 2cd8725d0f6f7..cba787845b195 100644 --- a/dev/auto_examples/applications/plot_cyclical_feature_engineering.html +++ b/dev/auto_examples/applications/plot_cyclical_feature_engineering.html @@ -2063,7 +2063,7 @@

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

-

Total running time of the script: ( 0 minutes 13.611 seconds)

+

Total running time of the script: ( 0 minutes 13.488 seconds)

 
Fitting the classifier to the training set
-done in 5.807s
+done in 5.959s
 Best estimator found by grid search:
 SVC(C=76823.03433306453, class_weight='balanced', gamma=0.003418945823095797)
@@ -363,7 +363,7 @@ convolutional neural networks but this family of models is outside of the scope of the scikit-learn library. Interested readers should instead try to use pytorch or tensorflow to implement such models.

-

Total running time of the script: ( 0 minutes 6.776 seconds)

+

Total running time of the script: ( 0 minutes 6.990 seconds)

RandomForestRegressor
@@ -438,31 +438,31 @@ 
Stack of predictors on a single data set
-Single predictors versus stacked predictors, Random Forest Evaluation in 1.13 seconds, Lasso Evaluation in 0.58 seconds, Gradient Boosting Evaluation in 0.60 seconds, Stacking Regressor Evaluation in 11.85 seconds

The stacked regressor will combine the strengths of the different regressors. +Single predictors versus stacked predictors, Random Forest Evaluation in 1.01 seconds, Lasso Evaluation in 0.48 seconds, Gradient Boosting Evaluation in 0.52 seconds, Stacking Regressor Evaluation in 10.39 seconds

The stacked regressor will combine the strengths of the different regressors. However, we also see that training the stacked regressor is much more computationally expensive.

-

Total running time of the script: ( 0 minutes 28.076 seconds)

+

Total running time of the script: ( 0 minutes 25.118 seconds)

-

Total running time of the script: ( 0 minutes 0.540 seconds)

+

Total running time of the script: ( 0 minutes 0.529 seconds)

-

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+

Total running time of the script: ( 0 minutes 0.321 seconds)

-Regressor predictions and their average

Total running time of the script: ( 0 minutes 0.926 seconds)

+Regressor predictions and their average

Total running time of the script: ( 0 minutes 0.912 seconds)

-Mean square error on each fold: Lars (train time: 0.08s) +Mean square error on each fold: Lars (train time: 0.07s)

Summary of cross-validation approachΒΆ

Both algorithms give roughly the same results.

@@ -789,7 +789,7 @@

ConclusionTotal running time of the script: ( 0 minutes 0.974 seconds)

+

Total running time of the script: ( 0 minutes 0.920 seconds)

 -

Total running time of the script: ( 0 minutes 0.094 seconds)

+

Total running time of the script: ( 0 minutes 0.093 seconds)

-

Total running time of the script: ( 0 minutes 0.575 seconds)

+

Total running time of the script: ( 0 minutes 0.490 seconds)

-

Total running time of the script: ( 0 minutes 0.222 seconds)

+

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-Logistic Regression Path

Total running time of the script: ( 0 minutes 0.109 seconds)

+Logistic Regression Path

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