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<li><a class="reference internal" href="#">Computation times</a></li>
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<section id="computation-times">
<span id="sphx-glr-auto-examples-covariance-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
<p><strong>00:06.757</strong> total execution time for 5 files <strong>from auto_examples/covariance</strong>:</p>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_robust_vs_empirical_covariance.html#sphx-glr-auto-examples-covariance-plot-robust-vs-empirical-covariance-py"><span class="std std-ref">Robust vs Empirical covariance estimate</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_robust_vs_empirical_covariance.py</span></code>)</p></td>
<td><p>00:02.952</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="plot_lw_vs_oas.html#sphx-glr-auto-examples-covariance-plot-lw-vs-oas-py"><span class="std std-ref">Ledoit-Wolf vs OAS estimation</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_lw_vs_oas.py</span></code>)</p></td>
<td><p>00:02.527</p></td>
<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_sparse_cov.html#sphx-glr-auto-examples-covariance-plot-sparse-cov-py"><span class="std std-ref">Sparse inverse covariance estimation</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_sparse_cov.py</span></code>)</p></td>
<td><p>00:00.533</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="plot_covariance_estimation.html#sphx-glr-auto-examples-covariance-plot-covariance-estimation-py"><span class="std std-ref">Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_covariance_estimation.py</span></code>)</p></td>
<td><p>00:00.449</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_mahalanobis_distances.html#sphx-glr-auto-examples-covariance-plot-mahalanobis-distances-py"><span class="std std-ref">Robust covariance estimation and Mahalanobis distances relevance</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_mahalanobis_distances.py</span></code>)</p></td>
<td><p>00:00.296</p></td>
<td><p>0.0</p></td>
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