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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>.BiclusterMixin</a><ul>
<li><a class="reference internal" href="#sklearn.base.BiclusterMixin"><code class="docutils literal notranslate"><span class="pre">BiclusterMixin</span></code></a><ul>
<li><a class="reference internal" href="#sklearn.base.BiclusterMixin.biclusters_"><code class="docutils literal notranslate"><span class="pre">BiclusterMixin.biclusters_</span></code></a></li>
<li><a class="reference internal" href="#sklearn.base.BiclusterMixin.get_indices"><code class="docutils literal notranslate"><span class="pre">BiclusterMixin.get_indices</span></code></a></li>
<li><a class="reference internal" href="#sklearn.base.BiclusterMixin.get_shape"><code class="docutils literal notranslate"><span class="pre">BiclusterMixin.get_shape</span></code></a></li>
<li><a class="reference internal" href="#sklearn.base.BiclusterMixin.get_submatrix"><code class="docutils literal notranslate"><span class="pre">BiclusterMixin.get_submatrix</span></code></a></li>
</ul>
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<section id="sklearn-base-biclustermixin">
<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>.BiclusterMixin<a class="headerlink" href="#sklearn-base-biclustermixin" title="Permalink to this heading">¶</a></h1>
<dl class="py class">
<dt class="sig sig-object py" id="sklearn.base.BiclusterMixin">
<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">BiclusterMixin</span></span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/3f89022fa/sklearn/base.py#L798"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.base.BiclusterMixin" title="Permalink to this definition">¶</a></dt>
<dd><p>Mixin class for all bicluster estimators in scikit-learn.</p>
<dl class="field-list simple">
<dt class="field-odd">Attributes<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><a class="reference internal" href="#sklearn.base.BiclusterMixin.biclusters_" title="sklearn.base.BiclusterMixin.biclusters_"><code class="xref py py-obj docutils literal notranslate"><span class="pre">biclusters_</span></code></a></dt><dd><p>Convenient way to get row and column indicators together.</p>
</dd>
</dl>
</dd>
</dl>
<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.BiclusterMixin.get_indices" title="sklearn.base.BiclusterMixin.get_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_indices</span></code></a>(i)</p></td>
<td><p>Row and column indices of the <code class="docutils literal notranslate"><span class="pre">i</span></code>'th bicluster.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#sklearn.base.BiclusterMixin.get_shape" title="sklearn.base.BiclusterMixin.get_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_shape</span></code></a>(i)</p></td>
<td><p>Shape of the <code class="docutils literal notranslate"><span class="pre">i</span></code>'th bicluster.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#sklearn.base.BiclusterMixin.get_submatrix" title="sklearn.base.BiclusterMixin.get_submatrix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_submatrix</span></code></a>(i, data)</p></td>
<td><p>Return the submatrix corresponding to bicluster <code class="docutils literal notranslate"><span class="pre">i</span></code>.</p></td>
</tr>
</tbody>
</table>
<dl class="py property">
<dt class="sig sig-object py" id="sklearn.base.BiclusterMixin.biclusters_">
<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">biclusters_</span></span><a class="headerlink" href="#sklearn.base.BiclusterMixin.biclusters_" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenient way to get row and column indicators together.</p>
<p>Returns the <code class="docutils literal notranslate"><span class="pre">rows_</span></code> and <code class="docutils literal notranslate"><span class="pre">columns_</span></code> members.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="sklearn.base.BiclusterMixin.get_indices">
<span class="sig-name descname"><span class="pre">get_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</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#L809"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.base.BiclusterMixin.get_indices" title="Permalink to this definition">¶</a></dt>
<dd><p>Row and column indices of the <code class="docutils literal notranslate"><span class="pre">i</span></code>’th bicluster.</p>
<p>Only works if <code class="docutils literal notranslate"><span class="pre">rows_</span></code> and <code class="docutils literal notranslate"><span class="pre">columns_</span></code> attributes exist.</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>i</strong><span class="classifier">int</span></dt><dd><p>The index of the cluster.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>row_ind</strong><span class="classifier">ndarray, dtype=np.intp</span></dt><dd><p>Indices of rows in the dataset that belong to the bicluster.</p>
</dd>
<dt><strong>col_ind</strong><span class="classifier">ndarray, dtype=np.intp</span></dt><dd><p>Indices of columns in the dataset that belong to the bicluster.</p>
</dd>
</dl>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="sklearn.base.BiclusterMixin.get_shape">
<span class="sig-name descname"><span class="pre">get_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</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#L830"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.base.BiclusterMixin.get_shape" title="Permalink to this definition">¶</a></dt>
<dd><p>Shape of the <code class="docutils literal notranslate"><span class="pre">i</span></code>’th bicluster.</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>i</strong><span class="classifier">int</span></dt><dd><p>The index of the cluster.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>n_rows</strong><span class="classifier">int</span></dt><dd><p>Number of rows in the bicluster.</p>
</dd>
<dt><strong>n_cols</strong><span class="classifier">int</span></dt><dd><p>Number of columns in the bicluster.</p>
</dd>
</dl>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="sklearn.base.BiclusterMixin.get_submatrix">
<span class="sig-name descname"><span class="pre">get_submatrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</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#L849"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.base.BiclusterMixin.get_submatrix" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the submatrix corresponding to bicluster <code class="docutils literal notranslate"><span class="pre">i</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>i</strong><span class="classifier">int</span></dt><dd><p>The index of the cluster.</p>
</dd>
<dt><strong>data</strong><span class="classifier">array-like of shape (n_samples, n_features)</span></dt><dd><p>The data.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>submatrix</strong><span class="classifier">ndarray of shape (n_rows, n_cols)</span></dt><dd><p>The submatrix corresponding to bicluster <code class="docutils literal notranslate"><span class="pre">i</span></code>.</p>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Notes</p>
<p>Works with sparse matrices. Only works if <code class="docutils literal notranslate"><span class="pre">rows_</span></code> and
<code class="docutils literal notranslate"><span class="pre">columns_</span></code> attributes exist.</p>
</dd></dl>
</dd></dl>
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