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Expand Up @@ -781,7 +781,7 @@ <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, 5.54s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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, 5.71s/it]/home/runner/work/moabb/moabb/moabb/datasets/preprocessing.py:273: 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;)
Expand Down Expand Up @@ -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, 5.48s/it]
BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:10&lt;00:00, 5.49s/it]
BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00, 5.55s/it]
BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00, 5.58s/it]
</pre></div>
</div>
<p>After processing the two, we simply concatenate the results.</p>
Expand Down Expand Up @@ -924,8 +924,8 @@ <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 12.954 seconds)</p>
<p><strong>Estimated memory usage:</strong> 413 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 13.162 seconds)</p>
<p><strong>Estimated memory usage:</strong> 301 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 @@ -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, 10.86s/it]
BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.86s/it]
BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.57s/it]
BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.57s/it]
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -837,8 +837,8 @@ <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 13.069 seconds)</p>
<p><strong>Estimated memory usage:</strong> 276 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 12.800 seconds)</p>
<p><strong>Estimated memory usage:</strong> 200 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 @@ -776,32 +776,34 @@ <h2>A Simple MNE Pipeline<a class="headerlink" href="#a-simple-mne-pipeline" tit

0%| | 0.00/18.5M [00:00&lt;?, ?B/s]

0%| | 8.19k/18.5M [00:00&lt;04:25, 69.9kB/s]
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0%| | 32.8k/18.5M [00:00&lt;02:02, 151kB/s]
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1%|▏ | 96.3k/18.5M [00:00&lt;00:56, 326kB/s]
1%|▏ | 96.3k/18.5M [00:00&lt;00:48, 378kB/s]

1%|▍ | 209k/18.5M [00:00&lt;00:32, 572kB/s]
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2%| | 432k/18.5M [00:00&lt;00:17, 1.04MB/s]
2%| | 409k/18.5M [00:00&lt;00:16, 1.13MB/s]

5%|█ | 889k/18.5M [00:00&lt;00:08, 1.99MB/s]
4%|█ | 833k/18.5M [00:00&lt;00:08, 2.14MB/s]

10%|███ | 1.80M/18.5M [00:00&lt;00:04, 3.85MB/s]
9%|███ | 1.67M/18.5M [00:00&lt;00:04, 4.11MB/s]

20%|███████▏ | 3.62M/18.5M [00:00&lt;00:01, 7.51MB/s]
18%|██████ | 3.36M/18.5M [00:00&lt;00:01, 8.03MB/s]

36%|█████████████▍ | 6.74M/18.5M [00:01&lt;00:00, 13.3MB/s]
34%|████████████ | 6.30M/18.5M [00:00&lt;00:00, 14.5MB/s]

53%|███████████████████▌ | 9.81M/18.5M [00:01&lt;00:00, 17.2MB/s]
49%|██████████████████ | 9.12M/18.5M [00:01&lt;00:00, 18.5MB/s]

68%|█████████████████████████ | 12.6M/18.5M [00:01&lt;00:00, 19.0MB/s]
64%|███████████████████████ | 11.8M/18.5M [00:01&lt;00:00, 20.9MB/s]

84%|██████████████████████████████▉ | 15.5M/18.5M [00:01&lt;00:00, 20.6MB/s]
79%|█████████████████████████████ | 14.6M/18.5M [00:01&lt;00:00, 22.6MB/s]

95%|███████████████████████████████████▏ | 17.6M/18.5M [00:01&lt;00:00, 24.9MB/s]

0%| | 0.00/18.5M [00:00&lt;?, ?B/s]
100%|█████████████████████████████████████| 18.5M/18.5M [00:00&lt;00:00, 51.9GB/s]
100%|█████████████████████████████████████| 18.5M/18.5M [00:00&lt;00:00, 74.4GB/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;
Expand All @@ -815,8 +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, 4.50s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:12&lt;00:00, 4.11s/it]
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, 4.09s/it]
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -858,7 +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;00:07, 3.53s/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, 3.50s/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;)
Expand All @@ -871,7 +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 [00:06&lt;00:03, 3.03s/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 [00:06&lt;00:02, 2.98s/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,
&#39;Target&#39;: 96
&#39;NonTarget&#39;: 480&gt;
warn(f&quot;warnEpochs {epochs}&quot;)
Expand All @@ -884,8 +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, 3.55s/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, 3.50s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00, 3.41s/it]
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -922,7 +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 [00:07&lt;00:14, 7.01s/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;)
Expand All @@ -935,7 +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, 6.86s/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, 6.90s/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;)
Expand All @@ -948,8 +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, 6.80s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:20&lt;00:00, 6.83s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:20&lt;00:00, 6.86s/it]
BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:20&lt;00:00, 6.88s/it]
</pre></div>
</div>
</section>
Expand All @@ -976,8 +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 47.392 seconds)</p>
<p><strong>Estimated memory usage:</strong> 322 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 47.298 seconds)</p>
<p><strong>Estimated memory usage:</strong> 280 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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