deploy: NeuroTechX/moabb@ef22069

Author: bruAristimunha

docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -1310,7 +1310,7 @@ <h3>Utils<a class="headerlink" href="#id18" title="Permalink to this heading">#<
 <td><p>Set the seed for random, numpy, TensorFlow and PyTorch.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.set_download_dir.html#moabb.set_download_dir" title="moabb.set_download_dir"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_download_dir</span></code></a>(path)</p></td>
-<td><p>Set the download directory if required to change from default mne path.</p></td>
+<td><p>Set the download directory if required to change from default MNE path.</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.make_process_pipelines.html#moabb.make_process_pipelines" title="moabb.make_process_pipelines"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_process_pipelines</span></code></a>(processing, dataset)</p></td>
 <td><p>Shortcut for the method <a class="reference internal" href="generated/moabb.paradigms.base.BaseProcessing.html#moabb.paradigms.base.BaseProcessing.make_process_pipelines" title="moabb.paradigms.base.BaseProcessing.make_process_pipelines"><code class="xref py py-func docutils literal notranslate"><span class="pre">moabb.paradigms.base.BaseProcessing.make_process_pipelines()</span></code></a></p></td>

docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip

@@ -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 [00:06&lt;00:06,  6.29s/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,  5.95s/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;)
@@ -924,8 +924,8 @@ <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 [00:12&lt;00:00,  6.05s/it]
-BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:12&lt;00:00,  6.09s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.76s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.79s/it]
 </pre></div>
 </div>
 <p>After processing the two, we simply concatenate the results.</p>
@@ -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  17.959 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  391 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  16.711 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  220 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>

docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip

@@ -808,8 +808,8 @@ <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 [00:11&lt;00:00, 11.27s/it]
-BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:11&lt;00:00, 11.27s/it]
+BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:11&lt;00:00, 11.26s/it]
+BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:11&lt;00:00, 11.26s/it]
 </pre></div>
 </div>
 </section>
@@ -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  18.299 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  191 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  17.569 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  66 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>

docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip

@@ -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,  3.33s/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,  3.44s/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;)
@@ -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,  3.25s/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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+ 98%|████████████████████████████████████ | 18.1M/18.5M [00:01&lt;00:00, 17.0MB/s]
 
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+100%|█████████████████████████████████████| 18.5M/18.5M [00:00&lt;00:00, 68.7GB/s]
 /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;
@@ -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 [00:13&lt;00:00,  4.78s/it]
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+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:13&lt;00:00,  4.55s/it]
 </pre></div>
 </div>
 </section>
@@ -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,  3.62s/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,  3.69s/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;)
@@ -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,  3.17s/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,  3.06s/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,
  &#39;Target&#39;: 96
  &#39;NonTarget&#39;: 480&gt;
   warn(f&quot;warnEpochs {epochs}&quot;)
@@ -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,  3.69s/it]
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+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00,  3.57s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00,  3.50s/it]
 </pre></div>
 </div>
 </section>
@@ -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,  5.28s/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 [00:05&lt;00:10,  5.21s/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;)
@@ -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,  5.17s/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,  5.11s/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;)
@@ -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,  5.15s/it]
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+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  5.05s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  5.08s/it]
 </pre></div>
 </div>
 </section>
@@ -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  49.469 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  308 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  48.374 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  125 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">
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 <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>