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opendataval.dataval.csshap.html
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<!doctype html>
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<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="opendataval.dataval.dvrl package" href="opendataval.dataval.dvrl.html" /><link rel="prev" title="opendataval.dataval.ame package" href="opendataval.dataval.ame.html" />
<link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 7.2.6 and Furo 2023.09.10 -->
<title>opendataval.dataval.csshap package - OpenDataVal documentation</title>
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<section id="opendataval-dataval-csshap-package">
<h1>opendataval.dataval.csshap package<a class="headerlink" href="#opendataval-dataval-csshap-package" title="Link to this heading">#</a></h1>
<section id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
</section>
<section id="module-opendataval.dataval.csshap.csshap">
<span id="opendataval-dataval-csshap-csshap-module"></span><h2>opendataval.dataval.csshap.csshap module<a class="headerlink" href="#module-opendataval.dataval.csshap.csshap" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="opendataval.dataval.csshap.csshap.ClassWiseShapley">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">opendataval.dataval.csshap.csshap.</span></span><span class="sig-name descname"><span class="pre">ClassWiseShapley</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley" title="Link to this definition">#</a></dt>
<dd><p>Bases: <a class="reference internal" href="opendataval.dataval.html#opendataval.dataval.api.DataEvaluator" title="opendataval.dataval.api.DataEvaluator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataEvaluator</span></code></a>, <a class="reference internal" href="opendataval.dataval.html#opendataval.dataval.api.ModelMixin" title="opendataval.dataval.api.ModelMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModelMixin</span></code></a></p>
<p>Class-wise shapley data valuation implementation</p>
<p>NOTE only categorical labels is a valid input to Class-Wise Shapley.</p>
<section id="references">
<h3>References<a class="headerlink" href="#references" title="Link to this heading">#</a></h3>
<aside class="footnote-list brackets">
<aside class="footnote brackets" id="id1" role="doc-footnote">
<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
<p>S. Schoch, H. Xu, and Y. Ji,
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
arXiv.org, 2022. <a class="reference external" href="https://arxiv.org/abs/2211.06800">https://arxiv.org/abs/2211.06800</a>.</p>
</aside>
</aside>
</section>
<section id="parameters">
<h3>Parameters<a class="headerlink" href="#parameters" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>sampler<span class="classifier">Sampler, optional</span></dt><dd><p>Sampler used to compute the marginal contributions. NOTE the sampler may not use
a cache and cache_name should explicitly be passes None. Can be found in
<code class="xref py py-mod docutils literal notranslate"><span class="pre">sampler</span></code>, by default uses <a href="#id2"><span class="problematic" id="id3">*</span></a>args, <a href="#id4"><span class="problematic" id="id5">**</span></a>kwargs for
<a class="reference internal" href="opendataval.dataval.margcontrib.html#opendataval.dataval.margcontrib.sampler.TMCSampler" title="opendataval.dataval.margcontrib.sampler.TMCSampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">TMCSampler</span></code></a> but removes
cache.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.csshap.csshap.ClassWiseShapley.evaluate_data_values">
<span class="sig-name descname"><span class="pre">evaluate_data_values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley.evaluate_data_values" title="Link to this definition">#</a></dt>
<dd><p>Returns data values for CS-Shapley</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.csshap.csshap.ClassWiseShapley.input_data">
<span class="sig-name descname"><span class="pre">input_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_valid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley.input_data" title="Link to this definition">#</a></dt>
<dd><p>Store and transform input data for CS-Shapley.</p>
<section id="id6">
<h4>Parameters<a class="headerlink" href="#id6" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>x_train<span class="classifier">torch.Tensor</span></dt><dd><p>Data covariates</p>
</dd>
<dt>y_train<span class="classifier">torch.Tensor</span></dt><dd><p>Data labels</p>
</dd>
<dt>x_valid<span class="classifier">torch.Tensor</span></dt><dd><p>Test+Held-out covariates</p>
</dd>
<dt>y_valid<span class="classifier">torch.Tensor</span></dt><dd><p>Test+Held-out labels</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.csshap.csshap.ClassWiseShapley.train_data_values">
<span class="sig-name descname"><span class="pre">train_data_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley.train_data_values" title="Link to this definition">#</a></dt>
<dd><p>Uses sampler to trains model to find marginal contribs and data values.</p>
<p>For each class, we separate the training and validation data into in-class
and out-class. Then we will compute the class-wise shapley values using the
sampler. Finally, we record the shapley value in self.data_values.</p>
</dd></dl>
</section>
</dd></dl>
</section>
<section id="module-opendataval.dataval.csshap">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-opendataval.dataval.csshap" title="Link to this heading">#</a></h2>
</section>
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<li><a class="reference internal" href="#">opendataval.dataval.csshap package</a><ul>
<li><a class="reference internal" href="#submodules">Submodules</a></li>
<li><a class="reference internal" href="#module-opendataval.dataval.csshap.csshap">opendataval.dataval.csshap.csshap module</a><ul>
<li><a class="reference internal" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley"><code class="docutils literal notranslate"><span class="pre">ClassWiseShapley</span></code></a><ul>
<li><a class="reference internal" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley.evaluate_data_values"><code class="docutils literal notranslate"><span class="pre">ClassWiseShapley.evaluate_data_values()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley.input_data"><code class="docutils literal notranslate"><span class="pre">ClassWiseShapley.input_data()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.csshap.csshap.ClassWiseShapley.train_data_values"><code class="docutils literal notranslate"><span class="pre">ClassWiseShapley.train_data_values()</span></code></a></li>
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