Generate Pelican site [ci skip]

scikit-learn-contrib · Aug 1, 2024 · d065002 · d065002
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diff --git a/.buildinfo b/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: b85de9159e1069c2b1e9d4ba4576d903
+config: 033e29e79c62ba83c8d8266749f5e836
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/_downloads/0f32b199a70546716046384f9a00d36d/plot_logreg_various_penalties.zip b/_downloads/0f32b199a70546716046384f9a00d36d/plot_logreg_various_penalties.zip
diff --git a/_downloads/1073ca3bf95c3d7d08a510cb536e5a31/plot_zero_weights_lasso.zip b/_downloads/1073ca3bf95c3d7d08a510cb536e5a31/plot_zero_weights_lasso.zip
diff --git a/_downloads/3f8c903e544072e7ce4b9fd8dc2dee36/plot_survival_analysis.zip b/_downloads/3f8c903e544072e7ce4b9fd8dc2dee36/plot_survival_analysis.zip
diff --git a/_downloads/4042181b60a4033d95a5b47a8217f10a/plot_lasso_vs_weighted.zip b/_downloads/4042181b60a4033d95a5b47a8217f10a/plot_lasso_vs_weighted.zip
diff --git a/_downloads/650876c873cd67813350b769b0af2f50/plot_sparse_recovery.zip b/_downloads/650876c873cd67813350b769b0af2f50/plot_sparse_recovery.zip
diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/_downloads/8253c28ab242948d4a4808d2f2dfa5ea/plot_compare_time.zip b/_downloads/8253c28ab242948d4a4808d2f2dfa5ea/plot_compare_time.zip
diff --git a/_downloads/8997dedba306f4ae7d6a9905a268fafb/plot_sparse_group_lasso.zip b/_downloads/8997dedba306f4ae7d6a9905a268fafb/plot_sparse_group_lasso.zip
diff --git a/_downloads/eef38eb807624c783dd8620016d8adbd/plot_ucurve.zip b/_downloads/eef38eb807624c783dd8620016d8adbd/plot_ucurve.zip
diff --git a/_downloads/f8b69f761242c5e64a20ebcfddc30cb5/plot_group_logistic_regression.zip b/_downloads/f8b69f761242c5e64a20ebcfddc30cb5/plot_group_logistic_regression.zip
diff --git a/_downloads/fbbd685769c17a0f2f69ba5702b5d305/plot_reweighted_l1.zip b/_downloads/fbbd685769c17a0f2f69ba5702b5d305/plot_reweighted_l1.zip
diff --git a/_downloads/ff5916b138a12db5c7266eb4d4262c96/plot_pen_prox.zip b/_downloads/ff5916b138a12db5c7266eb4d4262c96/plot_pen_prox.zip
diff --git a/_images/sphx_glr_plot_compare_time_001.png b/_images/sphx_glr_plot_compare_time_001.png
diff --git a/_images/sphx_glr_plot_compare_time_thumb.png b/_images/sphx_glr_plot_compare_time_thumb.png
diff --git a/_images/sphx_glr_plot_lasso_vs_weighted_001.png b/_images/sphx_glr_plot_lasso_vs_weighted_001.png
diff --git a/_images/sphx_glr_plot_lasso_vs_weighted_thumb.png b/_images/sphx_glr_plot_lasso_vs_weighted_thumb.png
diff --git a/_images/sphx_glr_plot_reweighted_l1_001.png b/_images/sphx_glr_plot_reweighted_l1_001.png
diff --git a/_images/sphx_glr_plot_reweighted_l1_thumb.png b/_images/sphx_glr_plot_reweighted_l1_thumb.png
diff --git a/_images/sphx_glr_plot_survival_analysis_002.png b/_images/sphx_glr_plot_survival_analysis_002.png
diff --git a/_images/sphx_glr_plot_ucurve_001.png b/_images/sphx_glr_plot_ucurve_001.png
diff --git a/_images/sphx_glr_plot_ucurve_thumb.png b/_images/sphx_glr_plot_ucurve_thumb.png
diff --git a/_images/sphx_glr_plot_zero_weights_lasso_001.png b/_images/sphx_glr_plot_zero_weights_lasso_001.png
diff --git a/_images/sphx_glr_plot_zero_weights_lasso_thumb.png b/_images/sphx_glr_plot_zero_weights_lasso_thumb.png
diff --git a/_sources/auto_examples/index.rst.txt b/_sources/auto_examples/index.rst.txt
@@ -87,7 +87,7 @@ Examples Gallery
 
 .. raw:: html
 
-    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to use a weighted lasso with some vanishing weights. The fast sol...">
+    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to use a weighted lasso with some vanishing weights. The fast solver is adapted to use primal Anderson acceleration, allowing it to not compute the dual and handle 0 weights.">
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_compare_time.rst.txt b/_sources/auto_examples/plot_compare_time.rst.txt
@@ -37,7 +37,7 @@ Compare time to solve large scale Lasso problems with scikit-learn.
 
  .. code-block:: none
 
-    file_sizes:   0%|                                   | 0.00/26.8M [00:00<?, ?B/s]    file_sizes:   0%|                           | 24.6k/26.8M [00:00<03:34, 125kB/s]    file_sizes:   0%|                           | 49.2k/26.8M [00:00<03:35, 124kB/s]    file_sizes:   0%|                            | 106k/26.8M [00:00<02:13, 200kB/s]    file_sizes:   1%|▏                           | 221k/26.8M [00:00<01:16, 349kB/s]    file_sizes:   2%|▍                           | 451k/26.8M [00:00<00:41, 640kB/s]    file_sizes:   3%|▉                          | 909k/26.8M [00:01<00:21, 1.21MB/s]    file_sizes:   7%|█▊                        | 1.83M/26.8M [00:01<00:10, 2.32MB/s]    file_sizes:  14%|███▌                      | 3.66M/26.8M [00:01<00:05, 4.51MB/s]    file_sizes:  20%|█████                     | 5.23M/26.8M [00:01<00:03, 5.57MB/s]    file_sizes:  25%|██████▌                   | 6.81M/26.8M [00:01<00:03, 6.31MB/s]    file_sizes:  35%|█████████▏                | 9.43M/26.8M [00:02<00:02, 8.31MB/s]    file_sizes:  41%|██████████▋               | 11.0M/26.8M [00:02<00:01, 8.22MB/s]    file_sizes:  47%|████████████▏             | 12.6M/26.8M [00:02<00:01, 8.16MB/s]    file_sizes:  53%|█████████████▋            | 14.1M/26.8M [00:02<00:01, 8.13MB/s]    file_sizes:  63%|████████████████▎         | 16.8M/26.8M [00:02<00:01, 9.60MB/s]    file_sizes:  72%|██████████████████▊       | 19.4M/26.8M [00:03<00:00, 10.6MB/s]    file_sizes:  78%|████████████████████▎     | 21.0M/26.8M [00:03<00:00, 9.90MB/s]    file_sizes:  88%|██████████████████████▉   | 23.6M/26.8M [00:03<00:00, 10.9MB/s]    file_sizes:  98%|█████████████████████████▍| 26.2M/26.8M [00:03<00:00, 11.5MB/s]    file_sizes: 100%|██████████████████████████| 26.8M/26.8M [00:03<00:00, 7.08MB/s]
+    file_sizes:   0%|                                   | 0.00/26.8M [00:00<?, ?B/s]    file_sizes:   0%|                           | 24.6k/26.8M [00:00<03:31, 127kB/s]    file_sizes:   0%|                           | 49.2k/26.8M [00:00<03:31, 127kB/s]    file_sizes:   0%|                            | 106k/26.8M [00:00<02:11, 203kB/s]    file_sizes:   1%|▏                           | 221k/26.8M [00:00<01:14, 356kB/s]    file_sizes:   2%|▍                           | 451k/26.8M [00:00<00:40, 652kB/s]    file_sizes:   3%|▉                          | 909k/26.8M [00:01<00:21, 1.23MB/s]    file_sizes:   7%|█▊                        | 1.83M/26.8M [00:01<00:10, 2.37MB/s]    file_sizes:  14%|███▌                      | 3.66M/26.8M [00:01<00:05, 4.59MB/s]    file_sizes:  20%|█████                     | 5.23M/26.8M [00:01<00:03, 5.68MB/s]    file_sizes:  25%|██████▌                   | 6.81M/26.8M [00:01<00:03, 6.42MB/s]    file_sizes:  31%|████████▏                 | 8.38M/26.8M [00:02<00:02, 6.93MB/s]    file_sizes:  41%|██████████▋               | 11.0M/26.8M [00:02<00:01, 8.80MB/s]    file_sizes:  47%|████████████▏             | 12.6M/26.8M [00:02<00:01, 8.61MB/s]    file_sizes:  53%|█████████████▋            | 14.1M/26.8M [00:02<00:01, 8.48MB/s]    file_sizes:  59%|███████████████▎          | 15.7M/26.8M [00:02<00:01, 8.40MB/s]    file_sizes:  68%|█████████████████▊        | 18.3M/26.8M [00:03<00:00, 9.84MB/s]    file_sizes:  74%|███████████████████▎      | 19.9M/26.8M [00:03<00:00, 9.37MB/s]    file_sizes:  84%|█████████████████████▉    | 22.5M/26.8M [00:03<00:00, 10.5MB/s]    file_sizes:  90%|███████████████████████▍  | 24.1M/26.8M [00:03<00:00, 9.88MB/s]    file_sizes: 100%|█████████████████████████▉| 26.7M/26.8M [00:03<00:00, 10.9MB/s]    file_sizes: 100%|██████████████████████████| 26.8M/26.8M [00:03<00:00, 6.86MB/s]
 
 
 
@@ -138,7 +138,7 @@ Compare time to solve large scale Lasso problems with scikit-learn.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 47.620 seconds)
+   **Total running time of the script:** (0 minutes 46.603 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_compare_time.py:
@@ -155,6 +155,10 @@ Compare time to solve large scale Lasso problems with scikit-learn.
 
       :download:`Download Python source code: plot_compare_time.py <plot_compare_time.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_compare_time.zip <plot_compare_time.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_group_logistic_regression.rst.txt b/_sources/auto_examples/plot_group_logistic_regression.rst.txt
@@ -158,7 +158,7 @@ Fit check that groups are either all 0 or all non zero
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 15.201 seconds)
+   **Total running time of the script:** (0 minutes 14.201 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_group_logistic_regression.py:
@@ -175,6 +175,10 @@ Fit check that groups are either all 0 or all non zero
 
       :download:`Download Python source code: plot_group_logistic_regression.py <plot_group_logistic_regression.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_group_logistic_regression.zip <plot_group_logistic_regression.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_lasso_vs_weighted.rst.txt b/_sources/auto_examples/plot_lasso_vs_weighted.rst.txt
@@ -84,7 +84,7 @@ Illustrate the importance of feature normalization when penalizing.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.903 seconds)
+   **Total running time of the script:** (0 minutes 3.872 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_lasso_vs_weighted.py:
@@ -101,6 +101,10 @@ Illustrate the importance of feature normalization when penalizing.
 
       :download:`Download Python source code: plot_lasso_vs_weighted.py <plot_lasso_vs_weighted.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_lasso_vs_weighted.zip <plot_lasso_vs_weighted.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_logreg_various_penalties.rst.txt b/_sources/auto_examples/plot_logreg_various_penalties.rst.txt
@@ -112,7 +112,7 @@ Illustrate the modularity of ``skglm`` by using ``GeneralizedLinearEstimator`` w
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.967 seconds)
+   **Total running time of the script:** (0 minutes 8.618 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_logreg_various_penalties.py:
@@ -129,6 +129,10 @@ Illustrate the modularity of ``skglm`` by using ``GeneralizedLinearEstimator`` w
 
       :download:`Download Python source code: plot_logreg_various_penalties.py <plot_logreg_various_penalties.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_logreg_various_penalties.zip <plot_logreg_various_penalties.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_pen_prox.rst.txt b/_sources/auto_examples/plot_pen_prox.rst.txt
@@ -77,7 +77,7 @@ Illustrate the value and proximal operators of some sparse penalties.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.487 seconds)
+   **Total running time of the script:** (0 minutes 2.161 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_pen_prox.py:
@@ -94,6 +94,10 @@ Illustrate the value and proximal operators of some sparse penalties.
 
       :download:`Download Python source code: plot_pen_prox.py <plot_pen_prox.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_pen_prox.zip <plot_pen_prox.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_reweighted_l1.rst.txt b/_sources/auto_examples/plot_reweighted_l1.rst.txt
@@ -131,7 +131,7 @@ direct proximal computation and iterative reweighting.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 5.326 seconds)
+   **Total running time of the script:** (0 minutes 5.002 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_reweighted_l1.py:
@@ -148,6 +148,10 @@ direct proximal computation and iterative reweighting.
 
       :download:`Download Python source code: plot_reweighted_l1.py <plot_reweighted_l1.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_reweighted_l1.zip <plot_reweighted_l1.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_sparse_group_lasso.rst.txt b/_sources/auto_examples/plot_sparse_group_lasso.rst.txt
@@ -173,14 +173,14 @@ some values are 0 too
  .. code-block:: none
 
 
-    ([<matplotlib.axis.YTick object at 0x7fef611c0cd0>, <matplotlib.axis.YTick object at 0x7fef60f50df0>, <matplotlib.axis.YTick object at 0x7fef6867a6d0>], [Text(0, 0, '0'), Text(0, 1, '1'), Text(0, 2, '2')])
+    ([<matplotlib.axis.YTick object at 0x7fcd4055fc10>, <matplotlib.axis.YTick object at 0x7fcd4835ff10>, <matplotlib.axis.YTick object at 0x7fcd4833bd60>], [Text(0, 0, '0'), Text(0, 1, '1'), Text(0, 2, '2')])
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 5.796 seconds)
+   **Total running time of the script:** (0 minutes 5.680 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_sparse_group_lasso.py:
@@ -197,6 +197,10 @@ some values are 0 too
 
       :download:`Download Python source code: plot_sparse_group_lasso.py <plot_sparse_group_lasso.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_sparse_group_lasso.zip <plot_sparse_group_lasso.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_sparse_recovery.rst.txt b/_sources/auto_examples/plot_sparse_recovery.rst.txt
@@ -190,7 +190,7 @@ Illustrate the superior performance of penalties for sparse recovery.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.881 seconds)
+   **Total running time of the script:** (0 minutes 8.549 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_sparse_recovery.py:
@@ -207,6 +207,10 @@ Illustrate the superior performance of penalties for sparse recovery.
 
       :download:`Download Python source code: plot_sparse_recovery.py <plot_sparse_recovery.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_sparse_recovery.zip <plot_sparse_recovery.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_survival_analysis.rst.txt b/_sources/auto_examples/plot_survival_analysis.rst.txt
@@ -382,7 +382,7 @@ with more than x100 less time!
 
  .. code-block:: none
 
-    speed up ratio: 930
+    speed up ratio: 730
 
 
 
@@ -566,7 +566,7 @@ Finally, let's compare the timings of both solvers
 
  .. code-block:: none
 
-    speed up ratio: 1042
+    speed up ratio: 827
 
 
 
@@ -579,7 +579,7 @@ even for the Efron estimate.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 57.445 seconds)
+   **Total running time of the script:** (0 minutes 47.504 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_survival_analysis.py:
@@ -596,6 +596,10 @@ even for the Efron estimate.
 
       :download:`Download Python source code: plot_survival_analysis.py <plot_survival_analysis.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_survival_analysis.zip <plot_survival_analysis.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_ucurve.rst.txt b/_sources/auto_examples/plot_ucurve.rst.txt
@@ -69,7 +69,7 @@ We also retrain 2000 samples in training dataset.
 
  .. code-block:: none
 
-    file_sizes:   0%|                                   | 0.00/13.7M [00:00<?, ?B/s]    file_sizes:   0%|                           | 24.6k/13.7M [00:00<01:49, 125kB/s]    file_sizes:   0%|                           | 49.2k/13.7M [00:00<01:50, 124kB/s]    file_sizes:   1%|▏                           | 106k/13.7M [00:00<01:08, 199kB/s]    file_sizes:   2%|▍                           | 221k/13.7M [00:00<00:38, 349kB/s]    file_sizes:   3%|▉                           | 451k/13.7M [00:00<00:20, 639kB/s]    file_sizes:   7%|█▊                         | 909k/13.7M [00:01<00:10, 1.21MB/s]    file_sizes:  13%|███▍                      | 1.83M/13.7M [00:01<00:05, 2.32MB/s]    file_sizes:  27%|██████▉                   | 3.66M/13.7M [00:01<00:02, 4.50MB/s]    file_sizes:  38%|█████████▉                | 5.23M/13.7M [00:01<00:01, 5.56MB/s]    file_sizes:  50%|████████████▉             | 6.81M/13.7M [00:01<00:01, 6.29MB/s]    file_sizes:  61%|███████████████▊          | 8.38M/13.7M [00:02<00:00, 6.81MB/s]    file_sizes:  80%|████████████████████▊     | 11.0M/13.7M [00:02<00:00, 8.65MB/s]    file_sizes:  92%|███████████████████████▊  | 12.6M/13.7M [00:02<00:00, 8.48MB/s]    file_sizes: 100%|██████████████████████████| 13.7M/13.7M [00:02<00:00, 5.29MB/s]
+    file_sizes:   0%|                                   | 0.00/13.7M [00:00<?, ?B/s]    file_sizes:   0%|                           | 24.6k/13.7M [00:00<01:48, 126kB/s]    file_sizes:   0%|                           | 49.2k/13.7M [00:00<01:48, 126kB/s]    file_sizes:   1%|▏                           | 106k/13.7M [00:00<01:07, 203kB/s]    file_sizes:   1%|▎                           | 131k/13.7M [00:00<01:18, 173kB/s]    file_sizes:   2%|▌                           | 246k/13.7M [00:00<00:41, 323kB/s]    file_sizes:   3%|▉                           | 475k/13.7M [00:01<00:21, 614kB/s]    file_sizes:  11%|██▊                       | 1.46M/13.7M [00:01<00:05, 2.05MB/s]    file_sizes:  16%|████▎                     | 2.24M/13.7M [00:01<00:04, 2.69MB/s]    file_sizes:  30%|███████▋                  | 4.08M/13.7M [00:01<00:02, 4.77MB/s]    file_sizes:  41%|██████████▋               | 5.65M/13.7M [00:01<00:01, 5.79MB/s]    file_sizes:  53%|█████████████▋            | 7.23M/13.7M [00:02<00:01, 6.50MB/s]    file_sizes:  64%|████████████████▋         | 8.80M/13.7M [00:02<00:00, 6.99MB/s]    file_sizes:  76%|███████████████████▋      | 10.4M/13.7M [00:02<00:00, 7.34MB/s]    file_sizes:  95%|████████████████████████▌ | 13.0M/13.7M [00:02<00:00, 9.08MB/s]    file_sizes: 100%|██████████████████████████| 13.7M/13.7M [00:02<00:00, 5.01MB/s]
 
 
 
@@ -150,7 +150,7 @@ Notice the "sweet spot" at around ``1e-4``, which sits at the boundary between u
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 13.957 seconds)
+   **Total running time of the script:** (0 minutes 13.510 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_ucurve.py:
@@ -167,6 +167,10 @@ Notice the "sweet spot" at around ``1e-4``, which sits at the boundary between u
 
       :download:`Download Python source code: plot_ucurve.py <plot_ucurve.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_ucurve.zip <plot_ucurve.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/plot_zero_weights_lasso.rst.txt b/_sources/auto_examples/plot_zero_weights_lasso.rst.txt
@@ -84,7 +84,7 @@ allowing it to not compute the dual and handle 0 weights.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.374 seconds)
+   **Total running time of the script:** (0 minutes 0.367 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_zero_weights_lasso.py:
@@ -101,6 +101,10 @@ allowing it to not compute the dual and handle 0 weights.
 
       :download:`Download Python source code: plot_zero_weights_lasso.py <plot_zero_weights_lasso.py>`
 
+    .. container:: sphx-glr-download sphx-glr-download-zip
+
+      :download:`Download zipped: plot_zero_weights_lasso.zip <plot_zero_weights_lasso.zip>`
+
 
 .. only:: html
 

diff --git a/_sources/auto_examples/sg_execution_times.rst.txt b/_sources/auto_examples/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**02:49.958** total execution time for 11 files **from auto_examples**:
+**02:36.067** total execution time for 11 files **from auto_examples**:
 
 .. container::
 
@@ -33,35 +33,35 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_survival_analysis.py` (``plot_survival_analysis.py``)
-     - 00:57.445
+     - 00:47.504
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_compare_time.py` (``plot_compare_time.py``)
-     - 00:47.620
+     - 00:46.603
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_group_logistic_regression.py` (``plot_group_logistic_regression.py``)
-     - 00:15.201
+     - 00:14.201
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_ucurve.py` (``plot_ucurve.py``)
-     - 00:13.957
+     - 00:13.510
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_logreg_various_penalties.py` (``plot_logreg_various_penalties.py``)
-     - 00:08.967
+     - 00:08.618
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_sparse_recovery.py` (``plot_sparse_recovery.py``)
-     - 00:08.881
+     - 00:08.549
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_sparse_group_lasso.py` (``plot_sparse_group_lasso.py``)
-     - 00:05.796
+     - 00:05.680
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_reweighted_l1.py` (``plot_reweighted_l1.py``)
-     - 00:05.326
+     - 00:05.002
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_lasso_vs_weighted.py` (``plot_lasso_vs_weighted.py``)
-     - 00:03.903
+     - 00:03.872
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_pen_prox.py` (``plot_pen_prox.py``)
-     - 00:02.487
+     - 00:02.161
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_zero_weights_lasso.py` (``plot_zero_weights_lasso.py``)
-     - 00:00.374
+     - 00:00.367
      - 0.0