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<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.base</span></code>.DensityMixin</a><ul>
<li><a class="reference internal" href="#sklearn.base.DensityMixin"><code class="docutils literal notranslate"><span class="pre">DensityMixin</span></code></a><ul>
<li><a class="reference internal" href="#sklearn.base.DensityMixin.score"><code class="docutils literal notranslate"><span class="pre">DensityMixin.score</span></code></a></li>
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<section id="sklearn-base-densitymixin">
<h1><a class="reference internal" href="../classes.html#module-sklearn.base" title="sklearn.base"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.base</span></code></a>.DensityMixin<a class="headerlink" href="#sklearn-base-densitymixin" title="Permalink to this heading">¶</a></h1>
<dl class="py class">
<dt class="sig sig-object py" id="sklearn.base.DensityMixin">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sklearn.base.</span></span><span class="sig-name descname"><span class="pre">DensityMixin</span></span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/3f89022fa/sklearn/base.py#L989"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.base.DensityMixin" title="Permalink to this definition">¶</a></dt>
<dd><p>Mixin class for all density estimators in scikit-learn.</p>
<p class="rubric">Methods</p>
<table class="autosummary longtable docutils align-default">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="#sklearn.base.DensityMixin.score" title="sklearn.base.DensityMixin.score"><code class="xref py py-obj docutils literal notranslate"><span class="pre">score</span></code></a>(X[, y])</p></td>
<td><p>Return the score of the model on the data <code class="docutils literal notranslate"><span class="pre">X</span></code>.</p></td>
</tr>
</tbody>
</table>
<dl class="py method">
<dt class="sig sig-object py" id="sklearn.base.DensityMixin.score">
<span class="sig-name descname"><span class="pre">score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/3f89022fa/sklearn/base.py#L994"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.base.DensityMixin.score" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the score of the model on the data <code class="docutils literal notranslate"><span class="pre">X</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>X</strong><span class="classifier">array-like of shape (n_samples, n_features)</span></dt><dd><p>Test samples.</p>
</dd>
<dt><strong>y</strong><span class="classifier">Ignored</span></dt><dd><p>Not used, present for API consistency by convention.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>score</strong><span class="classifier">float</span></dt><dd></dd>
</dl>
</dd>
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