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NeuroTechX · Jun 9, 2024 · d1c1f1b · d1c1f1b
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diff --git a/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
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diff --git a/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip b/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip
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diff --git a/docs/_images/sphx_glr_plot_within_session_p300_001.png b/docs/_images/sphx_glr_plot_within_session_p300_001.png
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diff --git a/docs/_images/sphx_glr_plot_within_session_ssvep_002.png b/docs/_images/sphx_glr_plot_within_session_ssvep_002.png
diff --git a/docs/auto_examples/advanced_examples/plot_filterbank_csp_vs_csp.html b/docs/auto_examples/advanced_examples/plot_filterbank_csp_vs_csp.html
@@ -826,7 +826,7 @@ <h2>Evaluation<a class="headerlink" href="#evaluation" title="Permalink to this
  &#39;right_hand&#39;: 12&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-001-CrossSession:  50%|#####     | 1/2 [00:06&lt;00:06,  6.03s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  24 events (all good), 2 – 6 s, baseline off, ~4.1 MB, data loaded,
+BNCI2014-001-CrossSession:  50%|#####     | 1/2 [00:05&lt;00:05,  5.70s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  24 events (all good), 2 – 6 s, baseline off, ~4.1 MB, data loaded,
  &#39;left_hand&#39;: 12
  &#39;right_hand&#39;: 12&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
@@ -923,8 +923,8 @@ <h2>Evaluation<a class="headerlink" href="#evaluation" title="Permalink to this
  &#39;right_hand&#39;: 12&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.94s/it]
-BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.95s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.60s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.61s/it]
 </pre></div>
 </div>
 <p>After processing the two, we simply concatenate the results.</p>
@@ -969,8 +969,8 @@ <h2>Plot Results<a class="headerlink" href="#plot-results" title="Permalink to t
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../../_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png" srcset="../../_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png" alt="plot filterbank csp vs csp" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  17.186 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  392 MB</p>
+<img src="../../_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png" srcset="../../_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png" alt="plot filterbank csp vs csp" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  16.256 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  391 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-advanced-examples-plot-filterbank-csp-vs-csp-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/4c45605b7f9e2012cf86c10fa0f2ed72/plot_filterbank_csp_vs_csp.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_filterbank_csp_vs_csp.py</span></code></a></p>

diff --git a/docs/auto_examples/advanced_examples/plot_grid_search_withinsession.html b/docs/auto_examples/advanced_examples/plot_grid_search_withinsession.html
@@ -807,8 +807,8 @@ <h2>Running the Evaluation<a class="headerlink" href="#running-the-evaluation" t
  &#39;left_hand&#39;: 12&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:12&lt;00:00, 12.28s/it]
-BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:12&lt;00:00, 12.28s/it]
+BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.74s/it]
+BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.74s/it]
 </pre></div>
 </div>
 </section>
@@ -882,8 +882,8 @@ <h2>Load Best Model Parameter<a class="headerlink" href="#load-best-model-parame
 Best Parameter l1_ratio Session_T VanillaEN:  0.75
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  18.853 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  236 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  16.877 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  270 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-advanced-examples-plot-grid-search-withinsession-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/b298e4b36adf2bb5cb6f65682eec852f/plot_grid_search_withinsession.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_grid_search_withinsession.py</span></code></a></p>

diff --git a/docs/auto_examples/advanced_examples/plot_mne_and_scikit_estimators.html b/docs/auto_examples/advanced_examples/plot_mne_and_scikit_estimators.html
@@ -802,7 +802,7 @@ <h2>A Simple MNE Pipeline<a class="headerlink" href="#a-simple-mne-pipeline" tit
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession:  33%|###3      | 1/3 [00:03&lt;00:06,  3.38s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
+BNCI2014-009-CrossSession:  33%|###3      | 1/3 [00:03&lt;00:06,  3.22s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
  &#39;Target&#39;: 96
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
@@ -815,17 +815,17 @@ <h2>A Simple MNE Pipeline<a class="headerlink" href="#a-simple-mne-pipeline" tit
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession:  67%|######6   | 2/3 [00:06&lt;00:03,  3.28s/it]/home/runner/work/moabb/moabb/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host &#39;lampx.tugraz.at&#39;. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings
+BNCI2014-009-CrossSession:  67%|######6   | 2/3 [00:06&lt;00:03,  3.12s/it]/home/runner/work/moabb/moabb/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host &#39;lampx.tugraz.at&#39;. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings
   warnings.warn(
 
 
   0%|                                              | 0.00/18.5M [00:00&lt;?, ?B/s]
 
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@@ -837,18 +837,20 @@ <h2>A Simple MNE Pipeline<a class="headerlink" href="#a-simple-mne-pipeline" tit
 
  20%|███████▏                             | 3.62M/18.5M [00:01&lt;00:02, 5.31MB/s]
 
- 36%|█████████████▏                       | 6.60M/18.5M [00:01&lt;00:01, 9.19MB/s]
+ 33%|████████████▎                        | 6.17M/18.5M [00:01&lt;00:01, 8.38MB/s]
 
- 48%|█████████████████▉                   | 8.98M/18.5M [00:01&lt;00:00, 10.7MB/s]
+ 44%|████████████████                     | 8.07M/18.5M [00:01&lt;00:01, 9.28MB/s]
 
- 62%|██████████████████████▉              | 11.5M/18.5M [00:01&lt;00:00, 12.0MB/s]
+ 59%|█████████████████████▋               | 10.9M/18.5M [00:01&lt;00:00, 11.5MB/s]
 
- 77%|████████████████████████████▋        | 14.3M/18.5M [00:02&lt;00:00, 13.5MB/s]
+ 71%|██████████████████████████▏          | 13.1M/18.5M [00:02&lt;00:00, 12.1MB/s]
 
- 91%|█████████████████████████████████▋   | 16.9M/18.5M [00:02&lt;00:00, 14.0MB/s]
+ 85%|███████████████████████████████▍     | 15.8M/18.5M [00:02&lt;00:00, 13.2MB/s]
+
+ 98%|████████████████████████████████████▎| 18.2M/18.5M [00:02&lt;00:00, 13.5MB/s]
 
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-100%|█████████████████████████████████████| 18.5M/18.5M [00:00&lt;00:00, 49.1GB/s]
+100%|█████████████████████████████████████| 18.5M/18.5M [00:00&lt;00:00, 70.8GB/s]
 /home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
  &#39;Target&#39;: 96
  &#39;NonTarget&#39;: 480&gt;
@@ -862,8 +864,8 @@ <h2>A Simple MNE Pipeline<a class="headerlink" href="#a-simple-mne-pipeline" tit
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:14&lt;00:00,  5.21s/it]
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:14&lt;00:00,  4.70s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:13&lt;00:00,  5.18s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:13&lt;00:00,  4.63s/it]
 </pre></div>
 </div>
 </section>
@@ -905,7 +907,7 @@ <h2>Advanced MNE Pipeline<a class="headerlink" href="#advanced-mne-pipeline" tit
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession:  33%|###3      | 1/3 [00:03&lt;00:07,  3.84s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
+BNCI2014-009-CrossSession:  33%|###3      | 1/3 [00:03&lt;00:07,  3.51s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
  &#39;Target&#39;: 96
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
@@ -918,7 +920,7 @@ <h2>Advanced MNE Pipeline<a class="headerlink" href="#advanced-mne-pipeline" tit
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession:  67%|######6   | 2/3 [00:06&lt;00:03,  3.33s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
+BNCI2014-009-CrossSession:  67%|######6   | 2/3 [00:06&lt;00:03,  3.02s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
  &#39;Target&#39;: 96
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
@@ -931,8 +933,8 @@ <h2>Advanced MNE Pipeline<a class="headerlink" href="#advanced-mne-pipeline" tit
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:11&lt;00:00,  3.87s/it]
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:11&lt;00:00,  3.77s/it]
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+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00,  3.43s/it]
 </pre></div>
 </div>
 </section>
@@ -969,7 +971,7 @@ <h2>Numpy-based Pipeline<a class="headerlink" href="#numpy-based-pipeline" title
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession:  33%|###3      | 1/3 [00:05&lt;00:10,  5.32s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
+BNCI2014-009-CrossSession:  33%|###3      | 1/3 [00:05&lt;00:10,  5.13s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
  &#39;Target&#39;: 96
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
@@ -982,7 +984,7 @@ <h2>Numpy-based Pipeline<a class="headerlink" href="#numpy-based-pipeline" title
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession:  67%|######6   | 2/3 [00:10&lt;00:05,  5.19s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
+BNCI2014-009-CrossSession:  67%|######6   | 2/3 [00:10&lt;00:05,  5.04s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs |  576 events (all good), 0 – 0.800781 s, baseline off, ~14.5 MB, data loaded,
  &#39;Target&#39;: 96
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
@@ -995,8 +997,8 @@ <h2>Numpy-based Pipeline<a class="headerlink" href="#numpy-based-pipeline" title
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
 
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  5.17s/it]
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  5.19s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  4.99s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  5.01s/it]
 </pre></div>
 </div>
 </section>
@@ -1023,8 +1025,8 @@ <h2>Combining Results<a class="headerlink" href="#combining-results" title="Perm
 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../../_images/sphx_glr_plot_mne_and_scikit_estimators_002.png" srcset="../../_images/sphx_glr_plot_mne_and_scikit_estimators_002.png" alt="Algorithm comparison" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  50.373 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  336 MB</p>
+<img src="../../_images/sphx_glr_plot_mne_and_scikit_estimators_002.png" srcset="../../_images/sphx_glr_plot_mne_and_scikit_estimators_002.png" alt="Algorithm comparison" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  48.158 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  365 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-advanced-examples-plot-mne-and-scikit-estimators-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/3bb6d35e266c94de44c44ec75aa9d550/plot_mne_and_scikit_estimators.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_mne_and_scikit_estimators.py</span></code></a></p>