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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-miscellaneous-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
<p><strong>01:31.333</strong> total execution time for 15 files <strong>from auto_examples/miscellaneous</strong>:</p>
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<tr class="row-odd"><th class="head"><p>Example</p></th>
<th class="head"><p>Time</p></th>
<th class="head"><p>Mem (MB)</p></th>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_outlier_detection_bench.html#sphx-glr-auto-examples-miscellaneous-plot-outlier-detection-bench-py"><span class="std std-ref">Evaluation of outlier detection estimators</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_outlier_detection_bench.py</span></code>)</p></td>
<td><p>01:00.523</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_johnson_lindenstrauss_bound.html#sphx-glr-auto-examples-miscellaneous-plot-johnson-lindenstrauss-bound-py"><span class="std std-ref">The Johnson-Lindenstrauss bound for embedding with random projections</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_johnson_lindenstrauss_bound.py</span></code>)</p></td>
<td><p>00:11.391</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_kernel_ridge_regression.html#sphx-glr-auto-examples-miscellaneous-plot-kernel-ridge-regression-py"><span class="std std-ref">Comparison of kernel ridge regression and SVR</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_kernel_ridge_regression.py</span></code>)</p></td>
<td><p>00:08.155</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_anomaly_comparison.html#sphx-glr-auto-examples-miscellaneous-plot-anomaly-comparison-py"><span class="std std-ref">Comparing anomaly detection algorithms for outlier detection on toy datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_anomaly_comparison.py</span></code>)</p></td>
<td><p>00:03.081</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_partial_dependence_visualization_api.html#sphx-glr-auto-examples-miscellaneous-plot-partial-dependence-visualization-api-py"><span class="std std-ref">Advanced Plotting With Partial Dependence</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_partial_dependence_visualization_api.py</span></code>)</p></td>
<td><p>00:02.432</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_kernel_approximation.html#sphx-glr-auto-examples-miscellaneous-plot-kernel-approximation-py"><span class="std std-ref">Explicit feature map approximation for RBF kernels</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_kernel_approximation.py</span></code>)</p></td>
<td><p>00:01.740</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_multioutput_face_completion.html#sphx-glr-auto-examples-miscellaneous-plot-multioutput-face-completion-py"><span class="std std-ref">Face completion with a multi-output estimators</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_multioutput_face_completion.py</span></code>)</p></td>
<td><p>00:01.646</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_display_object_visualization.html#sphx-glr-auto-examples-miscellaneous-plot-display-object-visualization-py"><span class="std std-ref">Visualizations with Display Objects</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_display_object_visualization.py</span></code>)</p></td>
<td><p>00:01.606</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_multilabel.html#sphx-glr-auto-examples-miscellaneous-plot-multilabel-py"><span class="std std-ref">Multilabel classification</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_multilabel.py</span></code>)</p></td>
<td><p>00:00.179</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_roc_curve_visualization_api.html#sphx-glr-auto-examples-miscellaneous-plot-roc-curve-visualization-api-py"><span class="std std-ref">ROC Curve with Visualization API</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_roc_curve_visualization_api.py</span></code>)</p></td>
<td><p>00:00.148</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_isotonic_regression.html#sphx-glr-auto-examples-miscellaneous-plot-isotonic-regression-py"><span class="std std-ref">Isotonic Regression</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_isotonic_regression.py</span></code>)</p></td>
<td><p>00:00.140</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_set_output.html#sphx-glr-auto-examples-miscellaneous-plot-set-output-py"><span class="std std-ref">Introducing the set_output API</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_set_output.py</span></code>)</p></td>
<td><p>00:00.124</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_pipeline_display.html#sphx-glr-auto-examples-miscellaneous-plot-pipeline-display-py"><span class="std std-ref">Displaying Pipelines</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_pipeline_display.py</span></code>)</p></td>
<td><p>00:00.096</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_metadata_routing.html#sphx-glr-auto-examples-miscellaneous-plot-metadata-routing-py"><span class="std std-ref">Metadata Routing</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_metadata_routing.py</span></code>)</p></td>
<td><p>00:00.046</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_estimator_representation.html#sphx-glr-auto-examples-miscellaneous-plot-estimator-representation-py"><span class="std std-ref">Displaying estimators and complex pipelines</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_estimator_representation.py</span></code>)</p></td>
<td><p>00:00.026</p></td>
<td><p>0.0</p></td>
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