deploy: NeuroTechX/moabb@5795850

NeuroTechX · Jul 6, 2024 · 7b75275 · 7b75275
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diff --git a/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/docs/_downloads/63b412797a45350b72c090ea95e36ee8/plot_Hinss2021_classification.py b/docs/_downloads/63b412797a45350b72c090ea95e36ee8/plot_Hinss2021_classification.py
@@ -43,6 +43,7 @@
 
 set_log_level("info")
 
+
 ##############################################################################
 # Create util transformer
 # ----------------------
@@ -103,12 +104,11 @@ def transform(self, X):
 
 # To reduce the computation time in the example, we will only use the
 # first two subjects.
-start_subject = 1
-stop_subject = 2
+n__subjects = 2
 title = "Datasets: "
 for dataset in datasets:
     title = title + " " + dataset.code
-    dataset.subject_list = dataset.subject_list[start_subject:stop_subject]
+    dataset.subject_list = dataset.subject_list[:n__subjects]
 
 ##############################################################################
 # Create Pipelines

diff --git a/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip b/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip
diff --git a/docs/_downloads/c0b6836dfec75ec67ce644b1417286cf/plot_Hinss2021_classification.ipynb b/docs/_downloads/c0b6836dfec75ec67ce644b1417286cf/plot_Hinss2021_classification.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "# Here we define the mne events for the RestingState paradigm.\nevents = dict(easy=2, diff=3)\n# The paradigm is adapted to the P300 paradigm.\nparadigm = RestingStateToP300Adapter(events=events, tmin=0, tmax=0.5)\n# We define a list with the dataset to use\ndatasets = [Hinss2021()]\n\n# To reduce the computation time in the example, we will only use the\n# first two subjects.\nstart_subject = 1\nstop_subject = 2\ntitle = \"Datasets: \"\nfor dataset in datasets:\n    title = title + \" \" + dataset.code\n    dataset.subject_list = dataset.subject_list[start_subject:stop_subject]"
+        "# Here we define the mne events for the RestingState paradigm.\nevents = dict(easy=2, diff=3)\n# The paradigm is adapted to the P300 paradigm.\nparadigm = RestingStateToP300Adapter(events=events, tmin=0, tmax=0.5)\n# We define a list with the dataset to use\ndatasets = [Hinss2021()]\n\n# To reduce the computation time in the example, we will only use the\n# first two subjects.\nn__subjects = 2\ntitle = \"Datasets: \"\nfor dataset in datasets:\n    title = title + \" \" + dataset.code\n    dataset.subject_list = dataset.subject_list[:n__subjects]"
       ]
     },
     {

diff --git a/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip b/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip
diff --git a/docs/_images/sphx_glr_plot_Hinss2021_classification_001.png b/docs/_images/sphx_glr_plot_Hinss2021_classification_001.png
diff --git a/docs/_images/sphx_glr_plot_Hinss2021_classification_thumb.png b/docs/_images/sphx_glr_plot_Hinss2021_classification_thumb.png
diff --git a/docs/_images/sphx_glr_plot_benchmark_001.png b/docs/_images/sphx_glr_plot_benchmark_001.png
diff --git a/docs/_images/sphx_glr_plot_benchmark_thumb.png b/docs/_images/sphx_glr_plot_benchmark_thumb.png
diff --git a/docs/_images/sphx_glr_plot_cross_session_motor_imagery_001.png b/docs/_images/sphx_glr_plot_cross_session_motor_imagery_001.png
diff --git a/docs/_images/sphx_glr_plot_cross_session_motor_imagery_thumb.png b/docs/_images/sphx_glr_plot_cross_session_motor_imagery_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
diff --git a/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_thumb.png b/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_thumb.png
diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_001.png b/docs/_images/sphx_glr_plot_learning_curve_p300_001.png
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/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 [00:05&lt;00:05,  5.61s/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,  5.84s/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,  5.55s/it]
-BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.56s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.69s/it]
+BNCI2014-001-CrossSession: 100%|##########| 2/2 [00:11&lt;00:00,  5.71s/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  15.909 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  373 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  16.350 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>

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 [00:10&lt;00:00, 10.64s/it]
-BNCI2014-001-WithinSession: 100%|##########| 1/1 [00:10&lt;00:00, 10.64s/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>
@@ -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  16.409 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  252 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  16.766 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  124 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,  3.20s/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,  3.34s/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;)
@@ -815,40 +815,38 @@ <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,  3.08s/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,  3.13s/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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 /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 +860,8 @@ <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,  4.13s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:13&lt;00:00,  4.89s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:13&lt;00:00,  4.43s/it]
 </pre></div>
 </div>
 </section>
@@ -905,7 +903,7 @@ <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,  3.42s/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,  3.61s/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 +916,7 @@ <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;00:02,  2.95s/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 +929,8 @@ <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,  3.44s/it]
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+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:10&lt;00:00,  3.49s/it]
 </pre></div>
 </div>
 </section>
@@ -969,7 +967,7 @@ <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,  5.08s/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,  5.21s/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 +980,7 @@ <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 [00:09&lt;00:04,  4.97s/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,  5.05s/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 +993,8 @@ <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 [00:14&lt;00:00,  4.94s/it]
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+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  5.00s/it]
+BNCI2014-009-CrossSession: 100%|##########| 3/3 [00:15&lt;00:00,  5.03s/it]
 </pre></div>
 </div>
 </section>
@@ -1023,8 +1021,8 @@ <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  45.729 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  365 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  47.674 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  191 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>