deploy: 3e7bdad

.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: c7756699bd2c2797ed1f86db2150ee92
+config: 3ea440a60f85ee2beffc70f0bfbaccfb
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_modules/sparselm/model_selection.html

@@ -460,10 +460,9 @@ <h1>Source code for sparselm.model_selection</h1><div class="highlight"><pre>
                         <span class="n">params</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">p</span><span class="p">)</span>
             <span class="n">params_sum</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">params</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
             <span class="n">one_std_dists</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">metrics</span> <span class="o">-</span> <span class="n">m</span> <span class="o">+</span> <span class="n">sig</span><span class="p">)</span>
-            <span class="n">candidates</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">metrics</span><span class="p">))[</span>
-                <span class="n">one_std_dists</span> <span class="o">&lt;</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">one_std_dists</span><span class="p">)</span> <span class="o">+</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">sig</span><span class="p">)</span>
-            <span class="p">]</span>
-            <span class="n">best_index</span> <span class="o">=</span> <span class="n">candidates</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">params_sum</span><span class="p">[</span><span class="n">candidates</span><span class="p">])]</span>
+            <span class="c1"># Guarantees that one-std rule always select larger params than max score.</span>
+            <span class="n">candidates</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">metrics</span><span class="p">))[</span><span class="n">params_sum</span> <span class="o">&gt;=</span> <span class="n">params_sum</span><span class="p">[</span><span class="n">opt_index</span><span class="p">]]</span>
+            <span class="n">best_index</span> <span class="o">=</span> <span class="n">candidates</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">one_std_dists</span><span class="p">[</span><span class="n">candidates</span><span class="p">])]</span>
             <span class="k">return</span> <span class="n">best_index</span>
 
     <span class="c1"># Overwrite original fit method to allow multiple optimal methods.</span>

_sources/auto_examples/plot_adaptive.rst.txt

@@ -166,7 +166,7 @@ this example we compare the performance of the standard Lasso with adaptive Lass
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.583 seconds)
+   **Total running time of the script:** ( 0 minutes  3.061 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_adaptive.py:

_sources/auto_examples/plot_chull.rst.txt

@@ -295,7 +295,7 @@ tutorial: https://icet.materialsmodeling.org/tutorial.zip for the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.720 seconds)
+   **Total running time of the script:** ( 0 minutes  2.773 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_chull.py:

_sources/auto_examples/plot_gl_sgl.rst.txt

@@ -267,7 +267,7 @@ dataset with group-level sparsity and within-group sparsity.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  20.218 seconds)
+   **Total running time of the script:** ( 0 minutes  16.990 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_gl_sgl.py:

_sources/auto_examples/plot_line_search.rst.txt

@@ -147,7 +147,7 @@ This example also showcases the usage of mixed L0 regressor.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  26.603 seconds)
+   **Total running time of the script:** ( 0 minutes  18.701 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_line_search.py:

_sources/auto_examples/plot_one_std.rst.txt

@@ -57,11 +57,11 @@ under sparselm.model_selection.
  .. code-block:: none
 
     Lasso with 1-std performance metrics:
-        train r2: 0.975
-        test r2: 0.954
-        train rmse: 33.629
-        test rmse: 41.532
-        sparsity: 41
+        train r2: 0.961
+        test r2: 0.945
+        train rmse: 42.082
+        test rmse: 45.472
+        sparsity: 15
     Lasso performance metrics:
         train r2: 0.969
         test r2: 0.952
@@ -177,7 +177,7 @@ under sparselm.model_selection.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.594 seconds)
+   **Total running time of the script:** ( 0 minutes  0.368 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_one_std.py:

_sources/auto_examples/plot_sparse_signal.rst.txt

@@ -132,7 +132,7 @@ https://scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html#sphx-gl
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.819 seconds)
+   **Total running time of the script:** ( 0 minutes  3.627 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_sparse_signal.py:

_sources/auto_examples/plot_stepwise.rst.txt

@@ -163,7 +163,7 @@ of energy to other cluster interactions.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.657 seconds)
+   **Total running time of the script:** ( 0 minutes  0.432 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_stepwise.py:

_sources/auto_examples/sg_execution_times.rst.txt

@@ -6,20 +6,20 @@
 
 Computation times
 =================
-**00:59.195** total execution time for **auto_examples** files:
+**00:45.952** total execution time for **auto_examples** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_plot_line_search.py` (``plot_line_search.py``)     | 00:26.603 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_plot_line_search.py` (``plot_line_search.py``)     | 00:18.701 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_plot_gl_sgl.py` (``plot_gl_sgl.py``)               | 00:20.218 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_plot_gl_sgl.py` (``plot_gl_sgl.py``)               | 00:16.990 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_plot_sparse_signal.py` (``plot_sparse_signal.py``) | 00:03.819 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_plot_sparse_signal.py` (``plot_sparse_signal.py``) | 00:03.627 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_plot_chull.py` (``plot_chull.py``)                 | 00:03.720 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_plot_adaptive.py` (``plot_adaptive.py``)           | 00:03.061 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_plot_adaptive.py` (``plot_adaptive.py``)           | 00:03.583 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_plot_chull.py` (``plot_chull.py``)                 | 00:02.773 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_plot_stepwise.py` (``plot_stepwise.py``)           | 00:00.657 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_plot_stepwise.py` (``plot_stepwise.py``)           | 00:00.432 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_plot_one_std.py` (``plot_one_std.py``)             | 00:00.594 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_plot_one_std.py` (``plot_one_std.py``)             | 00:00.368 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+

_static/documentation_options.js

@@ -1,6 +1,6 @@
 var DOCUMENTATION_OPTIONS = {
     URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
-    VERSION: '0.1.dev1+gf7bedb3',
+    VERSION: '0.1.dev1+g3e7bdad',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',

auto_examples/plot_adaptive.html

@@ -364,7 +364,7 @@
 <span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.583 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.061 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-adaptive-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/4e20a334cb964e28ad034553682e0e5e/plot_adaptive.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_adaptive.py</span></code></a></p>

auto_examples/plot_chull.html

@@ -470,7 +470,7 @@
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;L2L0 with constraings train RMSE: </span><span class="si">{</span><a href="https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64" title="numpy.float64" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-attribute"><span class="n">l2l0c_rmse</span></a><span class="si">:</span><span class="s2">.4f</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.720 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.773 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-chull-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/0b537d47053d1510a977109460626422/plot_chull.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_chull.py</span></code></a></p>

auto_examples/plot_gl_sgl.html

@@ -465,7 +465,7 @@
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;    test rmse: </span><span class="si">{</span><a href="https://docs.python.org/3.9/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">sglasso_test</span></a><span class="p">[</span><span class="s1">&#39;rmse&#39;</span><span class="p">]</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  20.218 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  16.990 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-gl-sgl-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d80fbc936f3cb8d9e602dcc4435647cc/plot_gl_sgl.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_gl_sgl.py</span></code></a></p>

auto_examples/plot_line_search.html

@@ -345,7 +345,7 @@
 <span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  26.603 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  18.701 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-line-search-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/39a83300f446e639cdeb32321aaa210b/plot_line_search.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_line_search.py</span></code></a></p>

auto_examples/plot_one_std.html

@@ -264,11 +264,11 @@
 <li><img src="../_images/sphx_glr_plot_one_std_002.png" srcset="../_images/sphx_glr_plot_one_std_002.png" alt="plot one std" class = "sphx-glr-multi-img"/></li>
 </ul>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Lasso with 1-std performance metrics:
-    train r2: 0.975
-    test r2: 0.954
-    train rmse: 33.629
-    test rmse: 41.532
-    sparsity: 41
+    train r2: 0.961
+    test r2: 0.945
+    train rmse: 42.082
+    test rmse: 45.472
+    sparsity: 15
 Lasso performance metrics:
     train r2: 0.969
     test r2: 0.952
@@ -376,7 +376,7 @@
 <span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.594 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.368 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-one-std-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/94b591974c51db0a8a46734034e1c825/plot_one_std.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_one_std.py</span></code></a></p>

auto_examples/plot_sparse_signal.html

@@ -336,7 +336,7 @@
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.819 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.627 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-sparse-signal-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/74df2f6cd28e06f7390261b69d55ceaf/plot_sparse_signal.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_sparse_signal.py</span></code></a></p>

auto_examples/plot_stepwise.html

@@ -358,7 +358,7 @@
 <span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.657 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  0.432 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-stepwise-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/316c1bee37a03ef94b4f109bed7d06c8/plot_stepwise.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_stepwise.py</span></code></a></p>