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NeuroTechX · Jan 5, 2024 · fa7bf3c · fa7bf3c
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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/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip b/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip
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_filterbank_csp_vs_csp_001.png b/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png
diff --git a/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_thumb.png b/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_thumb.png
diff --git a/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_001.png b/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_001.png
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diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_external_001.png b/docs/_images/sphx_glr_plot_learning_curve_p300_external_001.png
diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_external_thumb.png b/docs/_images/sphx_glr_plot_learning_curve_p300_external_thumb.png
diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_thumb.png b/docs/_images/sphx_glr_plot_learning_curve_p300_thumb.png
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/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_001.png b/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_001.png
diff --git a/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_thumb.png b/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_thumb.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
@@ -878,8 +878,8 @@ <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 [00:10&lt;00:00,  5.44s/it]
-BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:10&lt;00:00,  5.46s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:10&lt;00:00,  5.39s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:10&lt;00:00,  5.42s/it]
 </pre></div>
 </div>
 <p>After processing the two, we simply concatenate the results.</p>
@@ -924,7 +924,7 @@ <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  13.093 seconds)</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  13.040 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  282 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">

diff --git a/docs/auto_examples/advanced_examples/plot_grid_search_withinsession.html b/docs/auto_examples/advanced_examples/plot_grid_search_withinsession.html
@@ -762,8 +762,8 @@ <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 [00:10&lt;00:00, 10.80s/it]
-BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.80s/it]
+BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.78s/it]
+BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.78s/it]
 </pre></div>
 </div>
 </section>
@@ -838,7 +838,7 @@ <h2>Load Best Model Parameter<a class="headerlink" href="#load-best-model-parame
 </pre></div>
 </div>
 <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  13.269 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  162 MB</p>
+<p><strong>Estimated memory usage:</strong>  181 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
@@ -757,7 +757,7 @@ <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,  3.13s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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,  3.06s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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;)
@@ -770,40 +770,40 @@ <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;00:02,  2.99s/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 [00:05&lt;00:02,  2.91s/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(
 
 
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   0%|                                              | 0.00/18.5M [00:00&lt;?, ?B/s]
-100%|█████████████████████████████████████| 18.5M/18.5M [00:00&lt;00:00, 81.1GB/s]
+100%|█████████████████████████████████████| 18.5M/18.5M [00:00&lt;00:00, 84.1GB/s]
 /home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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;
@@ -817,8 +817,8 @@ <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 [00:12&lt;00:00,  4.49s/it]
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:12&lt;00:00,  4.10s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:11&lt;00:00,  4.27s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:11&lt;00:00,  3.92s/it]
 </pre></div>
 </div>
 </section>
@@ -860,7 +860,7 @@ <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;00:06,  3.40s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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,  3.37s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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;)
@@ -873,7 +873,7 @@ <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 [00:05&lt;00:02,  2.93s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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 [00:05&lt;00:02,  2.87s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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;)
@@ -886,8 +886,8 @@ <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 [00:10&lt;00:00,  3.43s/it]
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00,  3.34s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:09&lt;00:00,  3.41s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:09&lt;00:00,  3.32s/it]
 </pre></div>
 </div>
 </section>
@@ -924,7 +924,7 @@ <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 [00:06&lt;00:13,  6.98s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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 [00:06&lt;00:13,  6.92s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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;)
@@ -937,7 +937,7 @@ <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 [00:13&lt;00:06,  6.79s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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 [00:13&lt;00:06,  6.80s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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;)
@@ -950,8 +950,8 @@ <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 [00:20&lt;00:00,  6.72s/it]
 BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:20&lt;00:00,  6.75s/it]
-BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:20&lt;00:00,  6.78s/it]
 </pre></div>
 </div>
 </section>
@@ -978,8 +978,8 @@ <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  47.092 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  223 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  46.379 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  237 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>