deploy: SimplexLab/TorchJD@d4e9957

Author: ValerianRey

latest/docs/aggregation/index.html

@@ -361,15 +361,15 @@ <h2>Abstract base classes<a class="headerlink" href="#abstract-base-classes" tit
 
 <dl class="py class">
 <dt class="sig sig-object py" id="torchjd.aggregation.Weighting">
-<span class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></span><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">Weighting</span></span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/main/src/torchjd/aggregation/_weighting_bases.py#L16-L38"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.Weighting" title="Link to this definition">¶</a></dt>
+<span class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></span><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">Weighting</span></span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/main/src/torchjd/aggregation/_weighting_bases.py#L16-L40"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.Weighting" title="Link to this definition">¶</a></dt>
 <dd><p>Abstract base class for all weighting methods. It has the role of extracting a vector of weights
 of dimension <span class="math notranslate nohighlight">\(m\)</span> from some statistic of a matrix of dimension <span class="math notranslate nohighlight">\(m \times n\)</span>,
 generally its Gramian, of dimension <span class="math notranslate nohighlight">\(m \times m\)</span>.</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="torchjd.aggregation.GeneralizedWeighting">
-<span class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></span><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">GeneralizedWeighting</span></span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/main/src/torchjd/aggregation/_weighting_bases.py#L56-L78"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.GeneralizedWeighting" title="Link to this definition">¶</a></dt>
+<span class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></span><span class="sig-prename descclassname"><span class="pre">torchjd.aggregation.</span></span><span class="sig-name descname"><span class="pre">GeneralizedWeighting</span></span><a class="reference external" href="https://github.com/TorchJD/torchjd/blob/main/src/torchjd/aggregation/_weighting_bases.py#L58-L80"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchjd.aggregation.GeneralizedWeighting" title="Link to this definition">¶</a></dt>
 <dd><p>Abstract base class for all weightings that operate on generalized Gramians. It has the role of
 extracting a tensor of weights of dimension <span class="math notranslate nohighlight">\(m_1 \times \dots \times m_k\)</span> from a
 generalized Gramian of dimension