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4 changes: 2 additions & 2 deletions dev/auto_examples/calibration/plot_overlapping_gaussians.html
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Expand Up @@ -690,8 +690,8 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
<span class="c1"># curve, compared to RF which is shown below.</span>
</pre></div>
</div>
<img src="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" srcset="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" alt="plot overlapping gaussians" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.219 seconds)</p>
<p><strong>Estimated memory usage:</strong> 247 MB</p>
<img src="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" srcset="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" alt="plot overlapping gaussians" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.097 seconds)</p>
<p><strong>Estimated memory usage:</strong> 246 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-calibration-plot-overlapping-gaussians-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/790f5008869f2aeba5c7596d3d329bbd/plot_overlapping_gaussians.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_overlapping_gaussians.ipynb</span></code></a></p>
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6 changes: 3 additions & 3 deletions dev/auto_examples/calibration/sg_execution_times.html
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<section id="computation-times">
<span id="sphx-glr-auto-examples-calibration-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
<p><strong>00:07.219</strong> total execution time for 1 file <strong>from auto_examples/calibration</strong>:</p>
<p><strong>00:07.097</strong> total execution time for 1 file <strong>from auto_examples/calibration</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="plot_overlapping_gaussians.html#sphx-glr-auto-examples-calibration-plot-overlapping-gaussians-py"><span class="std std-ref">Plot honest forest calibrations on overlapping gaussian simulations</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_overlapping_gaussians.py</span></code>)</p></td>
<td><p>00:07.219</p></td>
<td><p>246.7</p></td>
<td><p>00:07.097</p></td>
<td><p>246.2</p></td>
</tr>
</tbody>
</table>
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4 changes: 2 additions & 2 deletions dev/auto_examples/multiview/plot_multiview_dtc.html
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Expand Up @@ -679,8 +679,8 @@ <h2>Visualize scores and compare performance<a class="headerlink" href="#visuali
as the number of features in the second view increases. This is because the multi-view
random forest samples from each feature-set uniformly, while the regular random forest
samples from all features uniformly. This is a key difference between the two forests.</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 36.172 seconds)</p>
<p><strong>Estimated memory usage:</strong> 918 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 34.364 seconds)</p>
<p><strong>Estimated memory usage:</strong> 927 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-multiview-plot-multiview-dtc-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/a48189389fb2a3065aa5f8a8eb0b2736/plot_multiview_dtc.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_multiview_dtc.ipynb</span></code></a></p>
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6 changes: 3 additions & 3 deletions dev/auto_examples/multiview/sg_execution_times.html
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<section id="computation-times">
<span id="sphx-glr-auto-examples-multiview-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
<p><strong>00:36.172</strong> total execution time for 1 file <strong>from auto_examples/multiview</strong>:</p>
<p><strong>00:34.364</strong> total execution time for 1 file <strong>from auto_examples/multiview</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="plot_multiview_dtc.html#sphx-glr-auto-examples-multiview-plot-multiview-dtc-py"><span class="std std-ref">Analyze a multi-view dataset with a multi-view random forest</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_multiview_dtc.py</span></code>)</p></td>
<td><p>00:36.172</p></td>
<td><p>917.8</p></td>
<td><p>00:34.364</p></td>
<td><p>926.8</p></td>
</tr>
</tbody>
</table>
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Expand Up @@ -1540,8 +1540,8 @@ <h2>Visualize the prediction of each tree within the forest<a class="headerlink"
</pre></div>
</div>
<ul class="sphx-glr-horizontal">
<li><img src="../../_images/sphx_glr_plot_extended_isolation_forest_009.png" srcset="../../_images/sphx_glr_plot_extended_isolation_forest_009.png" alt="IsoForest Nominal: Mean=1.11, Var=0.008 Anomaly: Mean=0.789, Var=0.051" class = "sphx-glr-multi-img"/></li>
<li><img src="../../_images/sphx_glr_plot_extended_isolation_forest_010.png" srcset="../../_images/sphx_glr_plot_extended_isolation_forest_010.png" alt="ExtendedIsoForest Nominal: Mean=1.076, Var=0.019 Anomaly: Mean=0.867, Var=0.059" class = "sphx-glr-multi-img"/></li>
<li><img src="../../_images/sphx_glr_plot_extended_isolation_forest_009.png" srcset="../../_images/sphx_glr_plot_extended_isolation_forest_009.png" alt="IsoForest Nominal: Mean=1.099, Var=0.012 Anomaly: Mean=0.779, Var=0.052" class = "sphx-glr-multi-img"/></li>
<li><img src="../../_images/sphx_glr_plot_extended_isolation_forest_010.png" srcset="../../_images/sphx_glr_plot_extended_isolation_forest_010.png" alt="ExtendedIsoForest Nominal: Mean=1.066, Var=0.019 Anomaly: Mean=0.841, Var=0.056" class = "sphx-glr-multi-img"/></li>
</ul>
</section>
<section id="references">
Expand All @@ -1554,7 +1554,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
</aside>
</aside>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.765 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.349 seconds)</p>
<p><strong>Estimated memory usage:</strong> 207 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-outlier-detection-plot-extended-isolation-forest-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
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4 changes: 2 additions & 2 deletions dev/auto_examples/outlier_detection/sg_execution_times.html
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Expand Up @@ -433,7 +433,7 @@

<section id="computation-times">
<span id="sphx-glr-auto-examples-outlier-detection-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
<p><strong>00:07.765</strong> total execution time for 1 file <strong>from auto_examples/outlier_detection</strong>:</p>
<p><strong>00:07.349</strong> total execution time for 1 file <strong>from auto_examples/outlier_detection</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
Expand All @@ -455,7 +455,7 @@
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="plot_extended_isolation_forest.html#sphx-glr-auto-examples-outlier-detection-plot-extended-isolation-forest-py"><span class="std std-ref">ExtendedIsolationForest example</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_extended_isolation_forest.py</span></code>)</p></td>
<td><p>00:07.765</p></td>
<td><p>00:07.349</p></td>
<td><p>207.1</p></td>
</tr>
</tbody>
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Expand Up @@ -615,7 +615,7 @@ <h2>The interpolation methods<a class="headerlink" href="#the-interpolation-meth
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
</div>
<img src="../../_images/sphx_glr_plot_quantile_interpolation_with_RF_001.png" srcset="../../_images/sphx_glr_plot_quantile_interpolation_with_RF_001.png" alt="plot quantile interpolation with RF" class = "sphx-glr-single-img"/><p><strong>Estimated memory usage:</strong> 198 MB</p>
<img src="../../_images/sphx_glr_plot_quantile_interpolation_with_RF_001.png" srcset="../../_images/sphx_glr_plot_quantile_interpolation_with_RF_001.png" alt="plot quantile interpolation with RF" class = "sphx-glr-single-img"/><p><strong>Estimated memory usage:</strong> 197 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-quantile-predictions-plot-quantile-interpolation-with-rf-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/83e6d43bc7f2872ae7d31930009b04ad/plot_quantile_interpolation_with_RF.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_quantile_interpolation_with_RF.ipynb</span></code></a></p>
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Expand Up @@ -694,8 +694,8 @@ <h2>Plot the results<a class="headerlink" href="#plot-the-results" title="Link t
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
</div>
<img src="../../_images/sphx_glr_plot_quantile_regression_intervals_with_RF_001.png" srcset="../../_images/sphx_glr_plot_quantile_regression_intervals_with_RF_001.png" alt="plot quantile regression intervals with RF" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.298 seconds)</p>
<p><strong>Estimated memory usage:</strong> 198 MB</p>
<img src="../../_images/sphx_glr_plot_quantile_regression_intervals_with_RF_001.png" srcset="../../_images/sphx_glr_plot_quantile_regression_intervals_with_RF_001.png" alt="plot quantile regression intervals with RF" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.558 seconds)</p>
<p><strong>Estimated memory usage:</strong> 197 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-quantile-predictions-plot-quantile-regression-intervals-with-rf-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/df5ce678b7facfc8634d69152d297979/plot_quantile_regression_intervals_with_RF.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_quantile_regression_intervals_with_RF.ipynb</span></code></a></p>
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Expand Up @@ -605,8 +605,8 @@ <h2>Plot the results<a class="headerlink" href="#plot-the-results" title="Link t
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
</div>
<img src="../../_images/sphx_glr_plot_quantile_toy_example_with_RF_001.png" srcset="../../_images/sphx_glr_plot_quantile_toy_example_with_RF_001.png" alt="plot quantile toy example with RF" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.962 seconds)</p>
<p><strong>Estimated memory usage:</strong> 301 MB</p>
<img src="../../_images/sphx_glr_plot_quantile_toy_example_with_RF_001.png" srcset="../../_images/sphx_glr_plot_quantile_toy_example_with_RF_001.png" alt="plot quantile toy example with RF" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.044 seconds)</p>
<p><strong>Estimated memory usage:</strong> 299 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-quantile-predictions-plot-quantile-toy-example-with-rf-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/04ec4681296d6b5e485ace6864fed6d5/plot_quantile_toy_example_with_RF.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_quantile_toy_example_with_RF.ipynb</span></code></a></p>
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Expand Up @@ -596,8 +596,8 @@ <h2>Plot the results<a class="headerlink" href="#plot-the-results" title="Link t
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
</div>
<img src="../../_images/sphx_glr_plot_quantile_vs_standard_oblique_forest_001.png" srcset="../../_images/sphx_glr_plot_quantile_vs_standard_oblique_forest_001.png" alt="plot quantile vs standard oblique forest" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.225 seconds)</p>
<p><strong>Estimated memory usage:</strong> 198 MB</p>
<img src="../../_images/sphx_glr_plot_quantile_vs_standard_oblique_forest_001.png" srcset="../../_images/sphx_glr_plot_quantile_vs_standard_oblique_forest_001.png" alt="plot quantile vs standard oblique forest" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.213 seconds)</p>
<p><strong>Estimated memory usage:</strong> 197 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-quantile-predictions-plot-quantile-vs-standard-oblique-forest-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/1bbf8dd9c72a23d179c76280f952170a/plot_quantile_vs_standard_oblique_forest.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_quantile_vs_standard_oblique_forest.ipynb</span></code></a></p>
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18 changes: 9 additions & 9 deletions dev/auto_examples/quantile_predictions/sg_execution_times.html
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<section id="computation-times">
<span id="sphx-glr-auto-examples-quantile-predictions-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
<p><strong>00:09.281</strong> total execution time for 4 files <strong>from auto_examples/quantile_predictions</strong>:</p>
<p><strong>00:09.605</strong> total execution time for 4 files <strong>from auto_examples/quantile_predictions</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
Expand All @@ -455,20 +455,20 @@
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="plot_quantile_regression_intervals_with_RF.html#sphx-glr-auto-examples-quantile-predictions-plot-quantile-regression-intervals-with-rf-py"><span class="std std-ref">Quantile prediction intervals with Random Forest Regressor</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_quantile_regression_intervals_with_RF.py</span></code>)</p></td>
<td><p>00:04.298</p></td>
<td><p>197.5</p></td>
<td><p>00:04.558</p></td>
<td><p>197.4</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_quantile_toy_example_with_RF.html#sphx-glr-auto-examples-quantile-predictions-plot-quantile-toy-example-with-rf-py"><span class="std std-ref">Quantile prediction with Random Forest Regressor class</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_quantile_toy_example_with_RF.py</span></code>)</p></td>
<td><p>00:02.962</p></td>
<td><p>300.8</p></td>
<td><p>00:03.044</p></td>
<td><p>298.9</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_quantile_vs_standard_oblique_forest.html#sphx-glr-auto-examples-quantile-predictions-plot-quantile-vs-standard-oblique-forest-py"><span class="std std-ref">Quantile regression with oblique regression forest</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_quantile_vs_standard_oblique_forest.py</span></code>)</p></td>
<td><p>00:01.225</p></td>
<td><p>197.5</p></td>
<td><p>00:01.213</p></td>
<td><p>197.4</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_quantile_interpolation_with_RF.html#sphx-glr-auto-examples-quantile-predictions-plot-quantile-interpolation-with-rf-py"><span class="std std-ref">Predicting with different quantile interpolation methods</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_quantile_interpolation_with_RF.py</span></code>)</p></td>
<td><p>00:00.795</p></td>
<td><p>197.5</p></td>
<td><p>00:00.791</p></td>
<td><p>197.4</p></td>
</tr>
</tbody>
</table>
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4 changes: 2 additions & 2 deletions dev/auto_examples/sklearn_vs_treeple/plot_iris_dtc.html
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<li><img src="../../_images/sphx_glr_plot_iris_dtc_003.png" srcset="../../_images/sphx_glr_plot_iris_dtc_003.png" alt="Axis-aligned decision tree trained on all the iris features" class = "sphx-glr-multi-img"/></li>
<li><img src="../../_images/sphx_glr_plot_iris_dtc_004.png" srcset="../../_images/sphx_glr_plot_iris_dtc_004.png" alt="Oblique decision tree trained on all the iris features" class = "sphx-glr-multi-img"/></li>
</ul>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.635 seconds)</p>
<p><strong>Estimated memory usage:</strong> 198 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.616 seconds)</p>
<p><strong>Estimated memory usage:</strong> 197 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-sklearn-vs-treeple-plot-iris-dtc-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/cb11eb9da3578768467692abefadef72/plot_iris_dtc.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_iris_dtc.ipynb</span></code></a></p>
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