Generate Pelican site [ci skip]

scikit-learn-contrib · Jul 17, 2024 · dfe1bfa · dfe1bfa
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diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.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/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<03:31, 127kB/s]    file_sizes:   0%|                           | 49.2k/26.8M [00:00<03:31, 126kB/s]    file_sizes:   0%|                            | 106k/26.8M [00:00<02:11, 203kB/s]    file_sizes:   1%|▏                           | 221k/26.8M [00:00<01:14, 355kB/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, 5.69MB/s]    file_sizes:  29%|███████▋                  | 7.86M/26.8M [00:01<00:02, 7.99MB/s]    file_sizes:  35%|█████████▏                | 9.43M/26.8M [00:02<00:02, 8.06MB/s]    file_sizes:  45%|███████████▋              | 12.1M/26.8M [00:02<00:01, 9.63MB/s]    file_sizes:  51%|█████████████▏            | 13.6M/26.8M [00:02<00:01, 9.24MB/s]    file_sizes:  61%|███████████████▊          | 16.2M/26.8M [00:02<00:01, 10.5MB/s]    file_sizes:  70%|██████████████████▎       | 18.9M/26.8M [00:02<00:00, 11.4MB/s]    file_sizes:  80%|████████████████████▊     | 21.5M/26.8M [00:03<00:00, 12.0MB/s]    file_sizes:  90%|███████████████████████▍  | 24.1M/26.8M [00:03<00:00, 12.5MB/s]    file_sizes: 100%|██████████████████████████| 26.8M/26.8M [00:03<00:00, 7.99MB/s]
+    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]
 
 
 
@@ -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 45.604 seconds)
+   **Total running time of the script:** (0 minutes 47.620 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_compare_time.py:

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 14.785 seconds)
+   **Total running time of the script:** (0 minutes 15.201 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_group_logistic_regression.py:

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 3.731 seconds)
+   **Total running time of the script:** (0 minutes 3.903 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_lasso_vs_weighted.py:

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 8.793 seconds)
+   **Total running time of the script:** (0 minutes 8.967 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_logreg_various_penalties.py:

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 2.314 seconds)
+   **Total running time of the script:** (0 minutes 2.487 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_pen_prox.py:

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 5.021 seconds)
+   **Total running time of the script:** (0 minutes 5.326 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_reweighted_l1.py:

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 0x7fb9b50f1970>, <matplotlib.axis.YTick object at 0x7fb9b4011e80>, <matplotlib.axis.YTick object at 0x7fb9b4e21490>], [Text(0, 0, '0'), Text(0, 1, '1'), Text(0, 2, '2')])
+    ([<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')])
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 5.547 seconds)
+   **Total running time of the script:** (0 minutes 5.796 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_sparse_group_lasso.py:

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 8.910 seconds)
+   **Total running time of the script:** (0 minutes 8.881 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_sparse_recovery.py:

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: 879
+    speed up ratio: 930
 
 
 
@@ -566,7 +566,7 @@ Finally, let's compare the timings of both solvers
 
  .. code-block:: none
 
-    speed up ratio: 787
+    speed up ratio: 1042
 
 
 
@@ -579,7 +579,7 @@ even for the Efron estimate.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 52.615 seconds)
+   **Total running time of the script:** (0 minutes 57.445 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_survival_analysis.py:

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<01:51, 123kB/s]    file_sizes:   0%|                           | 49.2k/13.7M [00:00<01:51, 122kB/s]    file_sizes:   1%|▏                           | 106k/13.7M [00:00<01:09, 196kB/s]    file_sizes:   2%|▍                           | 221k/13.7M [00:00<00:39, 343kB/s]    file_sizes:   3%|▉                           | 451k/13.7M [00:01<00:21, 630kB/s]    file_sizes:   7%|█▊                         | 909k/13.7M [00:01<00:10, 1.18MB/s]    file_sizes:  13%|███▍                      | 1.83M/13.7M [00:01<00:05, 2.28MB/s]    file_sizes:  27%|██████▉                   | 3.66M/13.7M [00:01<00:02, 4.41MB/s]    file_sizes:  38%|█████████▉                | 5.23M/13.7M [00:01<00:01, 5.46MB/s]    file_sizes:  50%|████████████▉             | 6.81M/13.7M [00:02<00:01, 6.18MB/s]    file_sizes:  61%|███████████████▊          | 8.38M/13.7M [00:02<00:00, 6.69MB/s]    file_sizes:  80%|████████████████████▊     | 11.0M/13.7M [00:02<00:00, 8.51MB/s]    file_sizes:  92%|███████████████████████▊  | 12.6M/13.7M [00:02<00:00, 8.36MB/s]    file_sizes: 100%|██████████████████████████| 13.7M/13.7M [00:02<00:00, 5.20MB/s]
+    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]
 
 
 
@@ -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 13.278 seconds)
+   **Total running time of the script:** (0 minutes 13.957 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_ucurve.py:

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 0.342 seconds)
+   **Total running time of the script:** (0 minutes 0.374 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_zero_weights_lasso.py:

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
 =================
-**02:40.942** total execution time for 11 files **from auto_examples**:
+**02:49.958** 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``)
-     - 00:52.615
+     - 00:57.445
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_compare_time.py` (``plot_compare_time.py``)
-     - 00:45.604
+     - 00:47.620
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_group_logistic_regression.py` (``plot_group_logistic_regression.py``)
-     - 00:14.785
+     - 00:15.201
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_ucurve.py` (``plot_ucurve.py``)
-     - 00:13.278
-     - 0.0
-   * - :ref:`sphx_glr_auto_examples_plot_sparse_recovery.py` (``plot_sparse_recovery.py``)
-     - 00:08.910
+     - 00:13.957
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_logreg_various_penalties.py` (``plot_logreg_various_penalties.py``)
-     - 00:08.793
+     - 00:08.967
+     - 0.0
+   * - :ref:`sphx_glr_auto_examples_plot_sparse_recovery.py` (``plot_sparse_recovery.py``)
+     - 00:08.881
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_sparse_group_lasso.py` (``plot_sparse_group_lasso.py``)
-     - 00:05.547
+     - 00:05.796
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_reweighted_l1.py` (``plot_reweighted_l1.py``)
-     - 00:05.021
+     - 00:05.326
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_lasso_vs_weighted.py` (``plot_lasso_vs_weighted.py``)
-     - 00:03.731
+     - 00:03.903
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_pen_prox.py` (``plot_pen_prox.py``)
-     - 00:02.314
+     - 00:02.487
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_zero_weights_lasso.py` (``plot_zero_weights_lasso.py``)
-     - 00:00.342
+     - 00:00.374
      - 0.0
diff --git a/_sources/sg_execution_times.rst.txt b/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**02:40.942** total execution time for 11 files **from all galleries**:
+**02:49.958** total execution time for 11 files **from all galleries**:
 
 .. container::
 
@@ -33,35 +33,35 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_survival_analysis.py` (``../examples/plot_survival_analysis.py``)
-     - 00:52.615
+     - 00:57.445
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_compare_time.py` (``../examples/plot_compare_time.py``)
-     - 00:45.604
+     - 00:47.620
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_group_logistic_regression.py` (``../examples/plot_group_logistic_regression.py``)
-     - 00:14.785
+     - 00:15.201
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_ucurve.py` (``../examples/plot_ucurve.py``)
-     - 00:13.278
-     - 0.0
-   * - :ref:`sphx_glr_auto_examples_plot_sparse_recovery.py` (``../examples/plot_sparse_recovery.py``)
-     - 00:08.910
+     - 00:13.957
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_logreg_various_penalties.py` (``../examples/plot_logreg_various_penalties.py``)
-     - 00:08.793
+     - 00:08.967
+     - 0.0
+   * - :ref:`sphx_glr_auto_examples_plot_sparse_recovery.py` (``../examples/plot_sparse_recovery.py``)
+     - 00:08.881
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_sparse_group_lasso.py` (``../examples/plot_sparse_group_lasso.py``)
-     - 00:05.547
+     - 00:05.796
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_reweighted_l1.py` (``../examples/plot_reweighted_l1.py``)
-     - 00:05.021
+     - 00:05.326
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_lasso_vs_weighted.py` (``../examples/plot_lasso_vs_weighted.py``)
-     - 00:03.731
+     - 00:03.903
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_pen_prox.py` (``../examples/plot_pen_prox.py``)
-     - 00:02.314
+     - 00:02.487
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_zero_weights_lasso.py` (``../examples/plot_zero_weights_lasso.py``)
-     - 00:00.342
+     - 00:00.374
      - 0.0