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2 changes: 1 addition & 1 deletion dev/.buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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2 changes: 1 addition & 1 deletion dev/_static/documentation_options.js
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />

<title>API Reference &#8212; Braindecode 0.8 documentation</title>
<title>API Reference &#8212; Braindecode 0.8.1 documentation</title>



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4 changes: 2 additions & 2 deletions dev/auto_examples/advanced_training/index.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />

<title>Advanced neural network training strategies &#8212; Braindecode 0.8 documentation</title>
<title>Advanced neural network training strategies &#8212; Braindecode 0.8.1 documentation</title>



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<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />

<title>Fingers flexion cropped decoding on BCIC IV 4 ECoG Dataset &#8212; Braindecode 0.8 documentation</title>
<title>Fingers flexion cropped decoding on BCIC IV 4 ECoG Dataset &#8212; Braindecode 0.8.1 documentation</title>



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<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
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Expand Down Expand Up @@ -598,7 +598,7 @@ <h3>Preprocessing<a class="headerlink" href="#preprocessing" title="Link to this
<a href="../../generated/braindecode.preprocessing.preprocess.html#braindecode.preprocessing.preprocess" title="braindecode.preprocessing.preprocess" class="sphx-glr-backref-module-braindecode-preprocessing sphx-glr-backref-type-py-function"><span class="n">preprocess</span></a><span class="p">(</span><a href="../../generated/braindecode.datasets.BaseConcatDataset.html#braindecode.datasets.BaseConcatDataset" title="braindecode.datasets.BaseConcatDataset" class="sphx-glr-backref-module-braindecode-datasets sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">test_set</span></a><span class="p">,</span> <span class="p">[</span><a href="../../generated/braindecode.preprocessing.Preprocessor.html#braindecode.preprocessing.Preprocessor" title="braindecode.preprocessing.Preprocessor" class="sphx-glr-backref-module-braindecode-preprocessing sphx-glr-backref-type-py-class"><span class="n">Preprocessor</span></a><span class="p">(</span><span class="s1">&#39;crop&#39;</span><span class="p">,</span> <span class="n">tmin</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">tmax</span><span class="o">=</span><span class="mi">24</span><span class="p">)],</span> <span class="n">n_jobs</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;braindecode.datasets.base.BaseConcatDataset object at 0x7f4b8149c400&gt;
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;braindecode.datasets.base.BaseConcatDataset object at 0x7f3131378130&gt;
</pre></div>
</div>
<p>In time series targets setup, targets variables are stored in mne.Raw object as channels
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</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span> epoch r2_train r2_valid train_loss valid_loss lr dur
------- ---------- ---------- ------------ ------------ ------ ------
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2 -13.7536 -7.1257 1.9596 18.0738 0.0006 0.5969
3 -12.7771 -6.7413 1.6787 17.1884 0.0005 0.5724
4 -11.7976 -6.3917 1.5638 16.4413 0.0004 0.6026
5 -11.2720 -6.1845 1.4237 16.0095 0.0002 0.6533
6 -10.5744 -5.9208 1.3549 15.4433 0.0001 0.5924
7 -9.8236 -5.6185 1.3132 14.7797 0.0000 0.6048
8 -9.0650 -5.3051 1.3316 14.0882 0.0000 0.6093
1 -16.9037 -8.3086 2.5378 20.7324 0.0006 0.5038
2 -13.7539 -7.1244 1.9596 18.0720 0.0006 0.4052
3 -12.7768 -6.7402 1.6787 17.1870 0.0005 0.4036
4 -11.7970 -6.3910 1.5638 16.4409 0.0004 0.4095
5 -11.2712 -6.1840 1.4237 16.0095 0.0002 0.4032
6 -10.5735 -5.9203 1.3549 15.4436 0.0001 0.4052
7 -9.8228 -5.6181 1.3132 14.7799 0.0000 0.4031
8 -9.0643 -5.3047 1.3316 14.0884 0.0000 0.4024
</pre></div>
</div>
<p>Obtaining predictions and targets for the test, train, and validation dataset</p>
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<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.tight_layout.html#matplotlib.pyplot.tight_layout" title="matplotlib.pyplot.tight_layout" 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">tight_layout</span></a><span class="p">()</span>
</pre></div>
</div>
<img src="../../_images/sphx_glr_plot_bcic_iv_4_ecog_cropped_002.png" srcset="../../_images/sphx_glr_plot_bcic_iv_4_ecog_cropped_002.png" alt="plot bcic iv 4 ecog cropped" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 55.097 seconds)</p>
<p><strong>Estimated memory usage:</strong> 810 MB</p>
<img src="../../_images/sphx_glr_plot_bcic_iv_4_ecog_cropped_002.png" srcset="../../_images/sphx_glr_plot_bcic_iv_4_ecog_cropped_002.png" alt="plot bcic iv 4 ecog cropped" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 41.420 seconds)</p>
<p><strong>Estimated memory usage:</strong> 777 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-advanced-training-plot-bcic-iv-4-ecog-cropped-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/c494db8fb7ce5921127c670340744634/plot_bcic_iv_4_ecog_cropped.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_bcic_iv_4_ecog_cropped.py</span></code></a></p>
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18 changes: 9 additions & 9 deletions dev/auto_examples/advanced_training/plot_data_augmentation.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />

<title>Data Augmentation on BCIC IV 2a Dataset &#8212; Braindecode 0.8 documentation</title>
<title>Data Augmentation on BCIC IV 2a Dataset &#8212; Braindecode 0.8.1 documentation</title>



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<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
<script src="../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>

<script src="../../_static/documentation_options.js?v=aad85e6b"></script>
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<script src="../../_static/doctools.js?v=888ff710"></script>
<script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../../_static/design-tabs.js?v=36754332"></script>
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:55: UserWarning: Preprocessing choices with lambda functions cannot be saved.
warn(&#39;Preprocessing choices with lambda functions cannot be saved.&#39;)

&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7f4b71698940&gt;
&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7f3131301330&gt;
</pre></div>
</div>
</section>
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</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span> epoch train_accuracy train_loss valid_acc valid_accuracy valid_loss lr dur
------- ---------------- ------------ ----------- ---------------- ------------ ------ ------
1 0.2500 1.6077 0.2500 0.2500 3.0178 0.0006 2.7489
2 0.2569 1.3809 0.2569 0.2569 2.1896 0.0005 2.3996
3 0.3021 1.2767 0.2569 0.2569 1.7959 0.0002 2.3702
4 0.3229 1.1763 0.2674 0.2674 1.6416 0.0000 2.3995
1 0.2500 1.6077 0.2500 0.2500 3.0179 0.0006 1.7346
2 0.2569 1.3809 0.2569 0.2569 2.1898 0.0005 1.5458
3 0.3021 1.2767 0.2604 0.2604 1.7960 0.0002 1.5160
4 0.3229 1.1763 0.2674 0.2674 1.6417 0.0000 1.5309

&lt;class &#39;braindecode.classifier.EEGClassifier&#39;&gt;[initialized](
module_=============================================================================================================================================
Expand Down Expand Up @@ -841,8 +841,8 @@ <h3><a class="toc-backref" href="#id12" role="doc-backlink">Setting the data aug
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../../generated/braindecode.datasets.BaseConcatDataset.html#braindecode.datasets.BaseConcatDataset" title="braindecode.datasets.BaseConcatDataset" class="sphx-glr-backref-module-braindecode-datasets sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">train_set</span></a><span class="o">.</span><a href="../../generated/braindecode.augmentation.FrequencyShift.html#braindecode.augmentation.FrequencyShift" title="braindecode.augmentation.FrequencyShift" class="sphx-glr-backref-module-braindecode-augmentation sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">transform</span></a> <span class="o">=</span> <a href="../../generated/braindecode.augmentation.Compose.html#braindecode.augmentation.Compose" title="braindecode.augmentation.Compose" class="sphx-glr-backref-module-braindecode-augmentation sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">composed_transforms</span></a>
</pre></div>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 21.750 seconds)</p>
<p><strong>Estimated memory usage:</strong> 468 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 16.183 seconds)</p>
<p><strong>Estimated memory usage:</strong> 518 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-advanced-training-plot-data-augmentation-py">
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<p><a class="reference download internal" download="" href="../../_downloads/e3845395de44913c970dbf26671a7cba/plot_data_augmentation.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_data_augmentation.py</span></code></a></p>
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />

<title>Searching the best data augmentation on BCIC IV 2a Dataset &#8212; Braindecode 0.8 documentation</title>
<title>Searching the best data augmentation on BCIC IV 2a Dataset &#8212; Braindecode 0.8.1 documentation</title>



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<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
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<script src="../../_static/doctools.js?v=888ff710"></script>
<script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../../_static/design-tabs.js?v=36754332"></script>
Expand Down Expand Up @@ -610,7 +610,7 @@ <h3><a class="toc-backref" href="#id10" role="doc-backlink">Preprocessing</a><a
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/home/runner/work/braindecode/braindecode/braindecode/preprocessing/preprocess.py:55: UserWarning: Preprocessing choices with lambda functions cannot be saved.
warn(&#39;Preprocessing choices with lambda functions cannot be saved.&#39;)

&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7f4b714d6410&gt;
&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7f3131677cd0&gt;
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -960,8 +960,8 @@ <h3><a class="toc-backref" href="#id19" role="doc-backlink">References</a><a cla
Journal of Neural Engineering, 18(4), 046020.</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 51.725 seconds)</p>
<p><strong>Estimated memory usage:</strong> 106 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 31.663 seconds)</p>
<p><strong>Estimated memory usage:</strong> 503 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-advanced-training-plot-data-augmentation-search-py">
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<p><a class="reference download internal" download="" href="../../_downloads/0f763ae384277e558103757157e170fb/plot_data_augmentation_search.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_data_augmentation_search.py</span></code></a></p>
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