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Expand Up @@ -530,7 +530,6 @@ <h2>Core Team<a class="headerlink" href="#core-team" title="Permalink to this he
<th>Bruno Aristimunha</th>
<th>Igor Carrara</th>
<th>Pierre Guetschel</th>
<th>Sara Sedlar</th>
</tr>
</thead>
<tbody>
Expand All @@ -539,7 +538,6 @@ <h2>Core Team<a class="headerlink" href="#core-team" title="Permalink to this he
<td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/42702466?s=150&amp;v=4" alt="Bruno Aristimunha"></td>
<td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/94047258?s=150&amp;v=4" alt="Igor Carrara"></td>
<td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/25532709?s=150&amp;v=4" alt="Pierre Guetschel"></td>
<td style="padding: 0 7px;"><img src="https://avatars.githubusercontent.com/u/5344945?s=150&amp;v=4" alt="Sara Sedlar"></td>
</tr>
</tbody>
</table><p>The Mother of all BCI Benchmarks was founded by Alexander Barachant and Vinay Jayaram, who
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Expand Up @@ -827,7 +827,7 @@ <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 [00:05&lt;00:05, 5.96s/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, 5.97s/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;)
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&#39;right_hand&#39;: 12&gt;
warn(f&quot;warnEpochs {epochs}&quot;)

BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00, 5.77s/it]
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BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00, 5.74s/it]
BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00, 5.78s/it]
</pre></div>
</div>
<p>After processing the two, we simply concatenate the results.</p>
Expand Down Expand Up @@ -970,8 +970,8 @@ <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 16.737 seconds)</p>
<p><strong>Estimated memory usage:</strong> 338 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 16.558 seconds)</p>
<p><strong>Estimated memory usage:</strong> 223 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>
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Expand Up @@ -883,8 +883,8 @@ <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 17.540 seconds)</p>
<p><strong>Estimated memory usage:</strong> 239 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 17.353 seconds)</p>
<p><strong>Estimated memory usage:</strong> 157 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>
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Expand Up @@ -803,7 +803,7 @@ <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, 3.28s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
BNCI2014-009-CrossSession: 33%|###3 | 1/3 [00:03&lt;00:06, 3.35s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
&#39;Target&#39;: 96
&#39;NonTarget&#39;: 480&gt;
warn(f&quot;warnEpochs {epochs}&quot;)
Expand All @@ -816,40 +816,40 @@ <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;00:03, 3.17s/it]/home/runner/work/moabb/moabb/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py:1064: 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, 3.23s/it]/home/runner/work/moabb/moabb/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py:1064: 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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/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
&#39;Target&#39;: 96
&#39;NonTarget&#39;: 480&gt;
Expand All @@ -863,8 +863,8 @@ <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, 4.56s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:12&lt;00:00, 4.19s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:13&lt;00:00, 4.78s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:13&lt;00:00, 4.38s/it]
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -906,7 +906,7 @@ <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, 3.61s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
BNCI2014-009-CrossSession: 33%|###3 | 1/3 [00:03&lt;00:07, 3.59s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
&#39;Target&#39;: 96
&#39;NonTarget&#39;: 480&gt;
warn(f&quot;warnEpochs {epochs}&quot;)
Expand All @@ -919,7 +919,7 @@ <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, 3.07s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
BNCI2014-009-CrossSession: 67%|######6 | 2/3 [00:06&lt;00:03, 3.15s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
&#39;Target&#39;: 96
&#39;NonTarget&#39;: 480&gt;
warn(f&quot;warnEpochs {epochs}&quot;)
Expand All @@ -932,8 +932,8 @@ <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, 3.54s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00, 3.46s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00, 3.65s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00, 3.56s/it]
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -970,7 +970,7 @@ <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, 5.16s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
BNCI2014-009-CrossSession: 33%|###3 | 1/3 [00:05&lt;00:10, 5.26s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
&#39;Target&#39;: 96
&#39;NonTarget&#39;: 480&gt;
warn(f&quot;warnEpochs {epochs}&quot;)
Expand All @@ -983,7 +983,7 @@ <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, 5.06s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
BNCI2014-009-CrossSession: 67%|######6 | 2/3 [00:10&lt;00:05, 5.15s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:279: UserWarning: warnEpochs &lt;Epochs | 576 events (all good), 0 – 0.801 s (baseline off), ~14.5 MB, data loaded,
&#39;Target&#39;: 96
&#39;NonTarget&#39;: 480&gt;
warn(f&quot;warnEpochs {epochs}&quot;)
Expand All @@ -996,8 +996,8 @@ <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, 5.01s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00, 5.03s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00, 5.14s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00, 5.15s/it]
</pre></div>
</div>
</section>
Expand All @@ -1024,8 +1024,8 @@ <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 47.421 seconds)</p>
<p><strong>Estimated memory usage:</strong> 265 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 48.518 seconds)</p>
<p><strong>Estimated memory usage:</strong> 234 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>
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