deploy: braindecode/braindecode@9cc8c68

Author: agramfort

master/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -340,6 +340,8 @@ <h1>All modules for which code is available</h1>
 <li><a href="braindecode/datasets/xy.html">braindecode.datasets.xy</a></li>
 <li><a href="braindecode/datautil/serialization.html">braindecode.datautil.serialization</a></li>
 <li><a href="braindecode/models/deep4.html">braindecode.models.deep4</a></li>
+<li><a href="braindecode/models/eeginception.html">braindecode.models.eeginception</a></li>
+<li><a href="braindecode/models/eegitnet.html">braindecode.models.eegitnet</a></li>
 <li><a href="braindecode/models/eegnet.html">braindecode.models.eegnet</a></li>
 <li><a href="braindecode/models/eegresnet.html">braindecode.models.eegresnet</a></li>
 <li><a href="braindecode/models/hybrid.html">braindecode.models.hybrid</a></li>

master/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip

@@ -339,6 +339,16 @@
    braindecode.models.Deep4Net
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="generated/braindecode.models.EEGInception.html">
+   braindecode.models.EEGInception
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="generated/braindecode.models.EEGITNet.html">
+   braindecode.models.EEGITNet
+  </a>
+ </li>
  <li class="toctree-l1">
   <a class="reference internal" href="generated/braindecode.models.EEGNetv1.html">
    braindecode.models.EEGNetv1
@@ -868,6 +878,12 @@ <h2><a class="toc-backref" href="#id8">Models</a><a class="headerlink" href="#mo
 <tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.Deep4Net.html#braindecode.models.Deep4Net" title="braindecode.models.Deep4Net"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Deep4Net</span></code></a>(in_chans, n_classes, ...[, ...])</p></td>
 <td><p>Deep ConvNet model from Schirrmeister et al 2017.</p></td>
 </tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGInception.html#braindecode.models.EEGInception" title="braindecode.models.EEGInception"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGInception</span></code></a>(in_channels, n_classes[, ...])</p></td>
+<td><p>EEG Inception.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/braindecode.models.EEGITNet.html#braindecode.models.EEGITNet" title="braindecode.models.EEGITNet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGITNet</span></code></a>(n_classes, in_channels, ...[, ...])</p></td>
+<td><p>EEG-ITNet: An Explainable Inception Temporal</p></td>
+</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="generated/braindecode.models.EEGNetv1.html#braindecode.models.EEGNetv1" title="braindecode.models.EEGNetv1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EEGNetv1</span></code></a>(in_chans, n_classes[, ...])</p></td>
 <td><p>EEGNet model from Lawhern et al. 2016.</p></td>
 </tr>

master/_images/sphx_glr_plot_benchmark_preprocessing_001.png

@@ -464,7 +464,7 @@
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/braindecode/lib/python3.7/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function scale is deprecated; will be removed in 0.7.0. Use numpy.multiply instead.
   warnings.warn(msg, category=FutureWarning)
 
-&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7efe34a95c10&gt;
+&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7fa694a5e450&gt;
 </pre></div>
 </div>
 <section id="create-model-and-compute-windowing-parameters">
@@ -633,10 +633,10 @@ <h2>Split the dataset<a class="headerlink" href="#split-the-dataset" title="Perm
   warnings.warn(warning_msg, SkorchWarning)
   epoch    train_accuracy    train_loss    valid_accuracy    valid_loss      lr      dur
 -------  ----------------  ------------  ----------------  ------------  ------  -------
-      1            0.2500        1.4486            0.2500        5.4386  0.0006  20.5837
-      2            0.2569        1.2315            0.2500        3.6824  0.0005  20.4518
-      3            0.3958        1.1476            0.3611        2.2702  0.0002  20.4560
-      4            0.4340        1.1225            0.4410        1.4375  0.0000  20.5060
+      1            0.2500        1.4486            0.2500        5.4386  0.0006  20.6739
+      2            0.2569        1.2315            0.2500        3.6824  0.0005  20.4192
+      3            0.3958        1.1476            0.3611        2.2702  0.0002  20.4408
+      4            0.4340        1.1225            0.4410        1.4375  0.0000  20.4159
 
 &lt;class &#39;braindecode.classifier.EEGClassifier&#39;&gt;[initialized](
   module_=ShallowFBCSPNet(
@@ -733,8 +733,8 @@ <h2>Plot Confusion Matrix<a class="headerlink" href="#plot-confusion-matrix" tit
 <img src="../_images/sphx_glr_plot_bcic_iv_2a_moabb_cropped_002.png" srcset="../_images/sphx_glr_plot_bcic_iv_2a_moabb_cropped_002.png" alt="plot bcic iv 2a moabb cropped" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;Figure size 800x550 with 1 Axes&gt;
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  54.533 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  1267 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  54.659 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  1306 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-bcic-iv-2a-moabb-cropped-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/995f58ef1b3d29dce64caee24e5bf457/plot_bcic_iv_2a_moabb_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_2a_moabb_cropped.py</span></code></a></p>

master/_images/sphx_glr_plot_benchmark_preprocessing_thumb.png

@@ -434,7 +434,7 @@ <h3>Preprocessing<a class="headerlink" href="#preprocessing" title="Permalink to
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda/envs/braindecode/lib/python3.7/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function scale is deprecated; will be removed in 0.7.0. Use numpy.multiply instead.
   warnings.warn(msg, category=FutureWarning)
 
-&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7efe5a007290&gt;
+&lt;braindecode.datasets.moabb.MOABBDataset object at 0x7fa6878927d0&gt;
 </pre></div>
 </div>
 </section>
@@ -567,10 +567,10 @@ <h2>Training<a class="headerlink" href="#training" title="Permalink to this head
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  epoch    train_accuracy    train_loss    valid_accuracy    valid_loss      lr     dur
 -------  ----------------  ------------  ----------------  ------------  ------  ------
-      1            0.2604        1.6159            0.2465        5.6117  0.0006  8.4881
-      2            0.2535        1.2103            0.2535        6.3208  0.0005  8.1102
-      3            0.2535        1.0746            0.2535        5.2375  0.0002  8.0541
-      4            0.2674        1.0589            0.2535        3.9899  0.0000  8.0702
+      1            0.2604        1.6159            0.2465        5.6117  0.0006  8.2893
+      2            0.2535        1.2103            0.2535        6.3208  0.0005  8.1284
+      3            0.2535        1.0746            0.2535        5.2375  0.0002  8.0542
+      4            0.2674        1.0589            0.2535        3.9899  0.0000  8.0157
 
 &lt;class &#39;braindecode.classifier.EEGClassifier&#39;&gt;[initialized](
   module_=ShallowFBCSPNet(
@@ -661,8 +661,8 @@ <h2>Plot Confusion Matrix<a class="headerlink" href="#plot-confusion-matrix" tit
 <img src="../_images/sphx_glr_plot_bcic_iv_2a_moabb_trial_002.png" srcset="../_images/sphx_glr_plot_bcic_iv_2a_moabb_trial_002.png" alt="plot bcic iv 2a moabb trial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;Figure size 800x550 with 1 Axes&gt;
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  50.285 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  1165 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  50.061 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  1102 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-bcic-iv-2a-moabb-trial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/475edf2d5ed60b15717de3100f3551a5/plot_bcic_iv_2a_moabb_trial.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_2a_moabb_trial.py</span></code></a></p>