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agramfort committed Mar 19, 2024
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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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4 changes: 4 additions & 0 deletions dev/api.html
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<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.models.get_output_shape.html">braindecode.models.get_output_shape</a></li>
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<li class="toctree-l1"><a class="reference internal" href="generated/braindecode.training.CroppedLoss.html">braindecode.training.CroppedLoss</a></li>
Expand Down Expand Up @@ -700,6 +701,9 @@ <h2><a class="toc-backref" href="#id11" role="doc-backlink">Models</a><a class="
<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.BIOT.html#braindecode.models.BIOT" title="braindecode.models.BIOT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BIOT</span></code></a>([emb_size, att_num_heads, n_layers, ...])</p></td>
<td><p>BIOT: Cross-data Biosignal Learning in the Wild from <a class="reference internal" href="generated/braindecode.models.BIOT.html#r606e26b38fe6-yang2023" id="id4"><span>[R606e26b38fe6-Yang2023]</span></a></p></td>
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Expand Up @@ -596,7 +596,7 @@ <h3>Preprocessing<a class="headerlink" href="#preprocessing" title="Link to this
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</pre></div>
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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 0x7fbb969548e0&gt;
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;braindecode.datasets.base.BaseConcatDataset object at 0x7a2df7e504f0&gt;
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</div>
<p>In time series targets setup, targets variables are stored in mne.Raw object as channels
Expand Down Expand Up @@ -821,14 +821,14 @@ <h2>Training<a class="headerlink" href="#training" title="Link to this heading">
</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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3 -12.7768 -6.7402 1.6787 17.1870 0.0005 0.4291
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6 -10.5735 -5.9203 1.3549 15.4436 0.0001 0.4224
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8 -9.0643 -5.3047 1.3316 14.0884 0.0000 0.4195
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2 -13.7539 -7.1244 1.9596 18.0720 0.0006 0.4568
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4 -11.7970 -6.3910 1.5638 16.4409 0.0004 0.4253
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6 -10.5735 -5.9203 1.3549 15.4436 0.0001 0.4190
7 -9.8228 -5.6181 1.3132 14.7799 0.0000 0.4335
8 -9.0643 -5.3047 1.3316 14.0884 0.0000 0.4199
</pre></div>
</div>
<p>Obtaining predictions and targets for the test, train, and validation dataset</p>
Expand Down Expand Up @@ -938,8 +938,8 @@ <h2>Plot Results<a class="headerlink" href="#plot-results" title="Link to this h
<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>
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14 changes: 7 additions & 7 deletions dev/auto_examples/advanced_training/plot_data_augmentation.html
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Expand Up @@ -587,7 +587,7 @@ <h3><a class="toc-backref" href="#id3" role="doc-backlink">Preprocessing</a><a c
<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 0x7fbb96c18d30&gt;
&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7a2df6af38b0&gt;
</pre></div>
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Expand Down Expand Up @@ -782,10 +782,10 @@ <h3><a class="toc-backref" href="#id10" role="doc-backlink">Create an EEGClassif
</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 0.2535 1.6458 0.2535 0.2535 5.1252 0.0006 1.7671
2 0.2639 1.3297 0.2500 0.2500 5.7607 0.0005 1.5550
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4 0.2708 1.1567 0.2535 0.2535 4.2555 0.0000 1.5569
1 0.2535 1.6458 0.2535 0.2535 5.1252 0.0006 1.7837
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3 0.2639 1.1539 0.2500 0.2500 5.1231 0.0002 1.5682
4 0.2708 1.1567 0.2535 0.2535 4.2555 0.0000 1.5430

&lt;class &#39;braindecode.classifier.EEGClassifier&#39;&gt;[initialized](
module_=============================================================================================================================================
Expand Down Expand Up @@ -839,8 +839,8 @@ <h3><a class="toc-backref" href="#id12" role="doc-backlink">Setting the data aug
<div class="highlight-Python 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 16.370 seconds)</p>
<p><strong>Estimated memory usage:</strong> 706 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 17.390 seconds)</p>
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<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/1d879df548fa18be8c23d9ca0dc008d4/plot_data_augmentation.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_data_augmentation.ipynb</span></code></a></p>
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Expand Up @@ -608,7 +608,7 @@ <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 0x7fbad958c310&gt;
&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7a2ec2966140&gt;
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -1362,8 +1362,8 @@ <h3><a class="toc-backref" href="#id19" role="doc-backlink">References</a><a cla
Journal of Neural Engineering, 18(4), 046020.</p>
</aside>
</aside>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 31.872 seconds)</p>
<p><strong>Estimated memory usage:</strong> 98 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 32.480 seconds)</p>
<p><strong>Estimated memory usage:</strong> 164 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/2466f8ec5c733d0bd65e187b45d875cc/plot_data_augmentation_search.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_data_augmentation_search.ipynb</span></code></a></p>
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