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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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@@ -2947,7 +2947,7 @@ <h1>Source code for treeple._lib.sklearn.tree._classes</h1><div class="highlight
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
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@@ -836,7 +836,7 @@ <h1>Source code for treeple.datasets.multiview</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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@@ -673,7 +673,7 @@ <h1>Source code for treeple.ensemble._eiforest</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/ensemble/_honest_forest.html b/dev/_modules/treeple/ensemble/_honest_forest.html
index 777294d22..cc47f7b49 100644
--- a/dev/_modules/treeple/ensemble/_honest_forest.html
+++ b/dev/_modules/treeple/ensemble/_honest_forest.html
@@ -1318,7 +1318,7 @@ <h1>Source code for treeple.ensemble._honest_forest</h1><div class="highlight"><
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/ensemble/_multiview.html b/dev/_modules/treeple/ensemble/_multiview.html
index ee588e859..cb4edffb3 100644
--- a/dev/_modules/treeple/ensemble/_multiview.html
+++ b/dev/_modules/treeple/ensemble/_multiview.html
@@ -792,7 +792,7 @@ <h1>Source code for treeple.ensemble._multiview</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/ensemble/_supervised_forest.html b/dev/_modules/treeple/ensemble/_supervised_forest.html
index 4127ff7a7..e5fbcb344 100644
--- a/dev/_modules/treeple/ensemble/_supervised_forest.html
+++ b/dev/_modules/treeple/ensemble/_supervised_forest.html
@@ -2417,7 +2417,7 @@ <h1>Source code for treeple.ensemble._supervised_forest</h1><div class="highligh
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/ensemble/_unsupervised_forest.html b/dev/_modules/treeple/ensemble/_unsupervised_forest.html
index cc4ca0ca5..bac74e850 100644
--- a/dev/_modules/treeple/ensemble/_unsupervised_forest.html
+++ b/dev/_modules/treeple/ensemble/_unsupervised_forest.html
@@ -1308,7 +1308,7 @@ <h1>Source code for treeple.ensemble._unsupervised_forest</h1><div class="highli
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/experimental/monte_carlo.html b/dev/_modules/treeple/experimental/monte_carlo.html
index 2cf04bb52..729faf2dc 100644
--- a/dev/_modules/treeple/experimental/monte_carlo.html
+++ b/dev/_modules/treeple/experimental/monte_carlo.html
@@ -696,7 +696,7 @@ <h1>Source code for treeple.experimental.monte_carlo</h1><div class="highlight">
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/experimental/mutual_info.html b/dev/_modules/treeple/experimental/mutual_info.html
index 63aad72c7..262b105e0 100644
--- a/dev/_modules/treeple/experimental/mutual_info.html
+++ b/dev/_modules/treeple/experimental/mutual_info.html
@@ -933,7 +933,7 @@ <h1>Source code for treeple.experimental.mutual_info</h1><div class="highlight">
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/experimental/simulate.html b/dev/_modules/treeple/experimental/simulate.html
index d3d2f4f17..49c7e43c7 100644
--- a/dev/_modules/treeple/experimental/simulate.html
+++ b/dev/_modules/treeple/experimental/simulate.html
@@ -706,7 +706,7 @@ <h1>Source code for treeple.experimental.simulate</h1><div class="highlight"><pr
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/neighbors.html b/dev/_modules/treeple/neighbors.html
index 631794417..e046f9bb1 100644
--- a/dev/_modules/treeple/neighbors.html
+++ b/dev/_modules/treeple/neighbors.html
@@ -693,7 +693,7 @@ <h1>Source code for treeple.neighbors</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/stats/forestht.html b/dev/_modules/treeple/stats/forestht.html
index f31ca4751..dc42e83bc 100644
--- a/dev/_modules/treeple/stats/forestht.html
+++ b/dev/_modules/treeple/stats/forestht.html
@@ -964,7 +964,7 @@ <h1>Source code for treeple.stats.forestht</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/stats/permuteforest.html b/dev/_modules/treeple/stats/permuteforest.html
index 5258dcfa0..2a25bee53 100644
--- a/dev/_modules/treeple/stats/permuteforest.html
+++ b/dev/_modules/treeple/stats/permuteforest.html
@@ -957,7 +957,7 @@ <h1>Source code for treeple.stats.permuteforest</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/tree/_classes.html b/dev/_modules/treeple/tree/_classes.html
index 99a9a22f5..3d3d1f282 100644
--- a/dev/_modules/treeple/tree/_classes.html
+++ b/dev/_modules/treeple/tree/_classes.html
@@ -3737,7 +3737,7 @@ <h1>Source code for treeple.tree._classes</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/tree/_honest_tree.html b/dev/_modules/treeple/tree/_honest_tree.html
index 18ff1edc8..bbfbd89e3 100644
--- a/dev/_modules/treeple/tree/_honest_tree.html
+++ b/dev/_modules/treeple/tree/_honest_tree.html
@@ -1311,7 +1311,7 @@ <h1>Source code for treeple.tree._honest_tree</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/tree/_multiview.html b/dev/_modules/treeple/tree/_multiview.html
index ad897e1b2..f8502e102 100644
--- a/dev/_modules/treeple/tree/_multiview.html
+++ b/dev/_modules/treeple/tree/_multiview.html
@@ -1149,7 +1149,7 @@ <h1>Source code for treeple.tree._multiview</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/_modules/treeple/tree/_neighbors.html b/dev/_modules/treeple/tree/_neighbors.html
index 4ff4f247b..a293b92f5 100644
--- a/dev/_modules/treeple/tree/_neighbors.html
+++ b/dev/_modules/treeple/tree/_neighbors.html
@@ -547,7 +547,7 @@ <h1>Source code for treeple.tree._neighbors</h1><div class="highlight"><pre>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/api.html b/dev/api.html
index 966411f64..8c158f4ef 100644
--- a/dev/api.html
+++ b/dev/api.html
@@ -881,7 +881,7 @@ <h2>Experimental Functionality<a class="headerlink" href="#experimental-function
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/calibration/index.html b/dev/auto_examples/calibration/index.html
index cbb572d01..95d5ba536 100644
--- a/dev/auto_examples/calibration/index.html
+++ b/dev/auto_examples/calibration/index.html
@@ -562,7 +562,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/calibration/plot_overlapping_gaussians.html b/dev/auto_examples/calibration/plot_overlapping_gaussians.html
index 279257a14..55cd056fb 100644
--- a/dev/auto_examples/calibration/plot_overlapping_gaussians.html
+++ b/dev/auto_examples/calibration/plot_overlapping_gaussians.html
@@ -690,7 +690,7 @@ <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 7.580 seconds)</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 6.957 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  245 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">
@@ -778,7 +778,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/calibration/sg_execution_times.html b/dev/auto_examples/calibration/sg_execution_times.html
index 7ab95e404..64d2ca306 100644
--- a/dev/auto_examples/calibration/sg_execution_times.html
+++ b/dev/auto_examples/calibration/sg_execution_times.html
@@ -433,7 +433,7 @@
                   
   <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>00:07.580</strong> total execution time for 1 file <strong>from auto_examples/calibration</strong>:</p>
+<p><strong>00:06.957</strong> total execution time for 1 file <strong>from auto_examples/calibration</strong>:</p>
 <div class="docutils container">
 <style scoped>
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 <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>00:07.580</p></td>
-<td><p>245.1</p></td>
+<td><p>00:06.957</p></td>
+<td><p>245.2</p></td>
 </tr>
 </tbody>
 </table>
@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/index.html b/dev/auto_examples/index.html
index bef372817..1a81e93b8 100644
--- a/dev/auto_examples/index.html
+++ b/dev/auto_examples/index.html
@@ -620,7 +620,7 @@ <h2>Treeple for Hypothesis Testing<a class="headerlink" href="#treeple-for-hypot
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/multiview/index.html b/dev/auto_examples/multiview/index.html
index 8277f836e..fbd4da903 100644
--- a/dev/auto_examples/multiview/index.html
+++ b/dev/auto_examples/multiview/index.html
@@ -562,7 +562,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/multiview/plot_multiview_dtc.html b/dev/auto_examples/multiview/plot_multiview_dtc.html
index a86714a58..3a134833a 100644
--- a/dev/auto_examples/multiview/plot_multiview_dtc.html
+++ b/dev/auto_examples/multiview/plot_multiview_dtc.html
@@ -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 39.864 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  902 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 33.638 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  926 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-multiview-plot-multiview-dtc-py">
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@@ -769,7 +769,7 @@ <h2>Visualize scores and compare performance<a class="headerlink" href="#visuali
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/multiview/sg_execution_times.html b/dev/auto_examples/multiview/sg_execution_times.html
index e30d31440..92c39d997 100644
--- a/dev/auto_examples/multiview/sg_execution_times.html
+++ b/dev/auto_examples/multiview/sg_execution_times.html
@@ -433,7 +433,7 @@
                   
   <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>00:39.864</strong> total execution time for 1 file <strong>from auto_examples/multiview</strong>:</p>
+<p><strong>00:33.638</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" />
@@ -455,8 +455,8 @@
 </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>00:39.864</p></td>
-<td><p>902.2</p></td>
+<td><p>00:33.638</p></td>
+<td><p>926.2</p></td>
 </tr>
 </tbody>
 </table>
@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/outlier_detection/index.html b/dev/auto_examples/outlier_detection/index.html
index 764b86bb1..049fb6085 100644
--- a/dev/auto_examples/outlier_detection/index.html
+++ b/dev/auto_examples/outlier_detection/index.html
@@ -562,7 +562,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/outlier_detection/plot_extended_isolation_forest.html b/dev/auto_examples/outlier_detection/plot_extended_isolation_forest.html
index 34b8ec48f..3e0a231af 100644
--- a/dev/auto_examples/outlier_detection/plot_extended_isolation_forest.html
+++ b/dev/auto_examples/outlier_detection/plot_extended_isolation_forest.html
@@ -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=1.113, Var=0.007 Anomaly: Mean=0.77, Var=0.053" 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=1.077, Var=0.016 Anomaly: Mean=0.858, Var=0.05" 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=1.119, Var=0.006 Anomaly: Mean=0.764, Var=0.056" 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=1.052, Var=0.023 Anomaly: Mean=0.846, Var=0.051" class = "sphx-glr-multi-img"/></li>
 </ul>
 </section>
 <section id="references">
@@ -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 8.348 seconds)</p>
+<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>  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">
@@ -1647,7 +1647,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/outlier_detection/sg_execution_times.html b/dev/auto_examples/outlier_detection/sg_execution_times.html
index 67edde318..339ed810f 100644
--- a/dev/auto_examples/outlier_detection/sg_execution_times.html
+++ b/dev/auto_examples/outlier_detection/sg_execution_times.html
@@ -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>00:08.348</strong> total execution time for 1 file <strong>from auto_examples/outlier_detection</strong>:</p>
+<p><strong>00:07.219</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" />
@@ -455,8 +455,8 @@
 </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>00:08.348</p></td>
-<td><p>206.7</p></td>
+<td><p>00:07.219</p></td>
+<td><p>206.8</p></td>
 </tr>
 </tbody>
 </table>
@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/quantile_predictions/index.html b/dev/auto_examples/quantile_predictions/index.html
index 6876691fc..61237f4da 100644
--- a/dev/auto_examples/quantile_predictions/index.html
+++ b/dev/auto_examples/quantile_predictions/index.html
@@ -571,7 +571,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/quantile_predictions/plot_quantile_interpolation_with_RF.html b/dev/auto_examples/quantile_predictions/plot_quantile_interpolation_with_RF.html
index ee46bef5f..273856c96 100644
--- a/dev/auto_examples/quantile_predictions/plot_quantile_interpolation_with_RF.html
+++ b/dev/auto_examples/quantile_predictions/plot_quantile_interpolation_with_RF.html
@@ -703,7 +703,7 @@ <h2>The interpolation methods<a class="headerlink" href="#the-interpolation-meth
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/quantile_predictions/plot_quantile_regression_intervals_with_RF.html b/dev/auto_examples/quantile_predictions/plot_quantile_regression_intervals_with_RF.html
index 408496e8f..49a8352e0 100644
--- a/dev/auto_examples/quantile_predictions/plot_quantile_regression_intervals_with_RF.html
+++ b/dev/auto_examples/quantile_predictions/plot_quantile_regression_intervals_with_RF.html
@@ -694,7 +694,7 @@ <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 5.061 seconds)</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 4.386 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">
@@ -783,7 +783,7 @@ <h2>Plot the results<a class="headerlink" href="#plot-the-results" title="Link t
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/quantile_predictions/plot_quantile_toy_example_with_RF.html b/dev/auto_examples/quantile_predictions/plot_quantile_toy_example_with_RF.html
index d650bb4ee..59b8460af 100644
--- a/dev/auto_examples/quantile_predictions/plot_quantile_toy_example_with_RF.html
+++ b/dev/auto_examples/quantile_predictions/plot_quantile_toy_example_with_RF.html
@@ -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 3.815 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 2.993 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">
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 <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>
@@ -694,7 +694,7 @@ <h2>Plot the results<a class="headerlink" href="#plot-the-results" title="Link t
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/quantile_predictions/plot_quantile_vs_standard_oblique_forest.html b/dev/auto_examples/quantile_predictions/plot_quantile_vs_standard_oblique_forest.html
index 1feed4689..3dfe2f568 100644
--- a/dev/auto_examples/quantile_predictions/plot_quantile_vs_standard_oblique_forest.html
+++ b/dev/auto_examples/quantile_predictions/plot_quantile_vs_standard_oblique_forest.html
@@ -596,7 +596,7 @@ <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 1.528 seconds)</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 1.281 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  197 MB</p>
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@@ -686,7 +686,7 @@ <h2>Plot the results<a class="headerlink" href="#plot-the-results" title="Link t
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/quantile_predictions/sg_execution_times.html b/dev/auto_examples/quantile_predictions/sg_execution_times.html
index 51d3c560f..7bbf3c3ae 100644
--- a/dev/auto_examples/quantile_predictions/sg_execution_times.html
+++ b/dev/auto_examples/quantile_predictions/sg_execution_times.html
@@ -433,7 +433,7 @@
                   
   <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>00:11.327</strong> total execution time for 4 files <strong>from auto_examples/quantile_predictions</strong>:</p>
+<p><strong>00:09.379</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" />
@@ -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>00:05.061</p></td>
-<td><p>197.1</p></td>
+<td><p>00:04.386</p></td>
+<td><p>197.2</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>00:03.815</p></td>
-<td><p>300.8</p></td>
+<td><p>00:02.993</p></td>
+<td><p>299.0</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>00:01.528</p></td>
-<td><p>197.1</p></td>
+<td><p>00:01.281</p></td>
+<td><p>197.2</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>00:00.923</p></td>
-<td><p>197.1</p></td>
+<td><p>00:00.719</p></td>
+<td><p>197.2</p></td>
 </tr>
 </tbody>
 </table>
@@ -514,7 +514,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sg_execution_times.html b/dev/auto_examples/sg_execution_times.html
index 5d553b38c..b26c4932b 100644
--- a/dev/auto_examples/sg_execution_times.html
+++ b/dev/auto_examples/sg_execution_times.html
@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sklearn_vs_treeple/index.html b/dev/auto_examples/sklearn_vs_treeple/index.html
index e6ebecfc3..58cda575d 100644
--- a/dev/auto_examples/sklearn_vs_treeple/index.html
+++ b/dev/auto_examples/sklearn_vs_treeple/index.html
@@ -562,7 +562,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sklearn_vs_treeple/plot_iris_dtc.html b/dev/auto_examples/sklearn_vs_treeple/plot_iris_dtc.html
index a921f416c..5ebcefefa 100644
--- a/dev/auto_examples/sklearn_vs_treeple/plot_iris_dtc.html
+++ b/dev/auto_examples/sklearn_vs_treeple/plot_iris_dtc.html
@@ -627,7 +627,7 @@
 <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 4.368 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.698 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">
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@@ -700,7 +700,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sklearn_vs_treeple/sg_execution_times.html b/dev/auto_examples/sklearn_vs_treeple/sg_execution_times.html
index fb75b7c8b..87036e2d1 100644
--- a/dev/auto_examples/sklearn_vs_treeple/sg_execution_times.html
+++ b/dev/auto_examples/sklearn_vs_treeple/sg_execution_times.html
@@ -433,7 +433,7 @@
                   
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-sklearn-vs-treeple-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>00:04.368</strong> total execution time for 1 file <strong>from auto_examples/sklearn_vs_treeple</strong>:</p>
+<p><strong>00:03.698</strong> total execution time for 1 file <strong>from auto_examples/sklearn_vs_treeple</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" />
@@ -455,8 +455,8 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_iris_dtc.html#sphx-glr-auto-examples-sklearn-vs-treeple-plot-iris-dtc-py"><span class="std std-ref">Plot the decision surface of decision trees trained on the iris dataset</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_iris_dtc.py</span></code>)</p></td>
-<td><p>00:04.368</p></td>
-<td><p>197.1</p></td>
+<td><p>00:03.698</p></td>
+<td><p>197.2</p></td>
 </tr>
 </tbody>
 </table>
@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sparse_oblique_trees/index.html b/dev/auto_examples/sparse_oblique_trees/index.html
index f74a4c812..3ffed658c 100644
--- a/dev/auto_examples/sparse_oblique_trees/index.html
+++ b/dev/auto_examples/sparse_oblique_trees/index.html
@@ -574,7 +574,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sparse_oblique_trees/plot_extra_oblique_random_forest.html b/dev/auto_examples/sparse_oblique_trees/plot_extra_oblique_random_forest.html
index 35d070660..a6a604a32 100644
--- a/dev/auto_examples/sparse_oblique_trees/plot_extra_oblique_random_forest.html
+++ b/dev/auto_examples/sparse_oblique_trees/plot_extra_oblique_random_forest.html
@@ -606,16 +606,16 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
 n_jobs          -1
                                     time_taken
 dataset          dimension   model
-PhishingWebsites (2000, 30)  EORF     1.254105
-                             ORF      1.257008
-cnae-9           (864, 856)  EORF     1.354885
-                             ORF      1.388710
-har              (2000, 561) EORF     1.306953
-                             ORF      2.105186
-lsvt             (100, 310)  EORF     1.023911
-                             ORF      0.999970
-wdbc             (455, 30)   EORF     1.021897
-                             ORF      1.021268
+PhishingWebsites (2000, 30)  EORF     1.099069
+                             ORF      1.095015
+cnae-9           (864, 856)  EORF     1.258917
+                             ORF      1.180815
+har              (2000, 561) EORF     1.192164
+                             ORF      1.918452
+lsvt             (100, 310)  EORF     0.928823
+                             ORF      0.944163
+wdbc             (455, 30)   EORF     0.910074
+                             ORF      0.901443
 </pre></div>
 </div>
 <div class="line-block">
@@ -748,8 +748,8 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
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 </pre></div>
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-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 30.179 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  342 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 33.332 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  356 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-sparse-oblique-trees-plot-extra-oblique-random-forest-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/9d192edccb7050fc654a0c44d8d3233e/plot_extra_oblique_random_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_extra_oblique_random_forest.ipynb</span></code></a></p>
@@ -837,7 +837,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sparse_oblique_trees/plot_extra_orf_sample_size.html b/dev/auto_examples/sparse_oblique_trees/plot_extra_orf_sample_size.html
index 4f39fb694..696f446cf 100644
--- a/dev/auto_examples/sparse_oblique_trees/plot_extra_orf_sample_size.html
+++ b/dev/auto_examples/sparse_oblique_trees/plot_extra_orf_sample_size.html
@@ -669,8 +669,8 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sparse_oblique_trees/plot_oblique_axis_aligned_forests_sparse_parity.html b/dev/auto_examples/sparse_oblique_trees/plot_oblique_axis_aligned_forests_sparse_parity.html
index 7a465f34c..919bb3c90 100644
--- a/dev/auto_examples/sparse_oblique_trees/plot_oblique_axis_aligned_forests_sparse_parity.html
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
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index 962255d20..dcc80be79 100644
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@@ -737,7 +737,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
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       <br/>
     
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diff --git a/dev/auto_examples/sparse_oblique_trees/plot_oblique_random_forest.html b/dev/auto_examples/sparse_oblique_trees/plot_oblique_random_forest.html
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index aba3e1992..495a94e15 100644
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   <section id="computation-times">
 <span id="sphx-glr-auto-examples-sparse-oblique-trees-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
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 <tr class="row-even"><td><p><a class="reference internal" href="plot_extra_orf_sample_size.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-extra-orf-sample-size-py"><span class="std std-ref">Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_extra_orf_sample_size.py</span></code>)</p></td>
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 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="plot_oblique_random_forest.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-random-forest-py"><span class="std std-ref">Plot oblique forest and axis-aligned random forest predictions on cc18 datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_oblique_random_forest.py</span></code>)</p></td>
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 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="plot_oblique_forests_iris.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-forests-iris-py"><span class="std std-ref">Compare the decision surfaces of oblique extra-trees with standard oblique trees</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_oblique_forests_iris.py</span></code>)</p></td>
-<td><p>00:26.701</p></td>
-<td><p>2429.5</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="plot_oblique_random_forest.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-random-forest-py"><span class="std std-ref">Plot oblique forest and axis-aligned random forest predictions on cc18 datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_oblique_random_forest.py</span></code>)</p></td>
+<td><p>00:25.495</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_oblique_axis_aligned_forests_sparse_parity.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-axis-aligned-forests-sparse-parity-py"><span class="std std-ref">Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_oblique_axis_aligned_forests_sparse_parity.py</span></code>)</p></td>
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-<td><p>197.5</p></td>
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@@ -518,7 +518,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/splitters/index.html b/dev/auto_examples/splitters/index.html
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@@ -568,7 +568,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/splitters/plot_multiview_axis_aligned_splitter.html b/dev/auto_examples/splitters/plot_multiview_axis_aligned_splitter.html
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+++ b/dev/auto_examples/splitters/plot_multiview_axis_aligned_splitter.html
@@ -714,7 +714,7 @@ <h2>Discussion<a class="headerlink" href="#discussion" title="Link to this headi
 This is the key difference between the two splitters.</p>
 <p>For an example of using the multi-view splitter in practice on simulated data, see
 <a class="reference internal" href="../multiview/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>.</p>
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@@ -805,7 +805,7 @@ <h2>Discussion<a class="headerlink" href="#discussion" title="Link to this headi
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
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diff --git a/dev/auto_examples/splitters/plot_projection_matrices.html b/dev/auto_examples/splitters/plot_projection_matrices.html
index 28bae65ae..ec4502651 100644
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@@ -831,7 +831,7 @@ <h2>Discontiguous Patches<a class="headerlink" href="#discontiguous-patches" tit
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+<img src="../../_images/sphx_glr_plot_projection_matrices_005.png" srcset="../../_images/sphx_glr_plot_projection_matrices_005.png" alt="2D Discontiguous In All Dims Patch Visualization, Patch 0, Patch 1, Patch 2, Patch 3, Patch 4, Patch 5, Patch 6, Patch 7, Patch 8" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.009 seconds)</p>
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@@ -923,7 +923,7 @@ <h2>Discontiguous Patches<a class="headerlink" href="#discontiguous-patches" tit
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/splitters/plot_sparse_projection_matrix.html b/dev/auto_examples/splitters/plot_sparse_projection_matrix.html
index 93df07f04..fb2cd8c58 100644
--- a/dev/auto_examples/splitters/plot_sparse_projection_matrix.html
+++ b/dev/auto_examples/splitters/plot_sparse_projection_matrix.html
@@ -637,7 +637,7 @@ <h2>Discussion<a class="headerlink" href="#discussion" title="Link to this headi
 <li><p><a class="reference internal" href="../sparse_oblique_trees/plot_oblique_forests_iris.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-forests-iris-py"><span class="std std-ref">Compare the decision surfaces of oblique extra-trees with standard oblique trees</span></a></p></li>
 <li><p><a class="reference internal" href="../sparse_oblique_trees/plot_oblique_random_forest.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-random-forest-py"><span class="std std-ref">Plot oblique forest and axis-aligned random forest predictions on cc18 datasets</span></a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.951 seconds)</p>
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 <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-splitters-plot-sparse-projection-matrix-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -728,7 +728,7 @@ <h2>Discussion<a class="headerlink" href="#discussion" title="Link to this headi
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/splitters/sg_execution_times.html b/dev/auto_examples/splitters/sg_execution_times.html
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--- a/dev/auto_examples/splitters/sg_execution_times.html
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   <section id="computation-times">
 <span id="sphx-glr-auto-examples-splitters-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>00:16.296</strong> total execution time for 3 files <strong>from auto_examples/splitters</strong>:</p>
+<p><strong>00:14.233</strong> total execution time for 3 files <strong>from auto_examples/splitters</strong>:</p>
 <div class="docutils container">
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@@ -455,16 +455,16 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_projection_matrices.html#sphx-glr-auto-examples-splitters-plot-projection-matrices-py"><span class="std std-ref">Plot the projection matrices of an oblique tree for sampling images, or time-series</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_projection_matrices.py</span></code>)</p></td>
-<td><p>00:09.054</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="plot_multiview_axis_aligned_splitter.html#sphx-glr-auto-examples-splitters-plot-multiview-axis-aligned-splitter-py"><span class="std std-ref">Demonstrate and visualize a multi-view projection matrix for an axis-aligned tree</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_multiview_axis_aligned_splitter.py</span></code>)</p></td>
-<td><p>00:04.291</p></td>
-<td><p>197.1</p></td>
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+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_sparse_projection_matrix.html#sphx-glr-auto-examples-splitters-plot-sparse-projection-matrix-py"><span class="std std-ref">Plot the sparse projection matrices of an oblique tree</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_sparse_projection_matrix.py</span></code>)</p></td>
-<td><p>00:02.951</p></td>
-<td><p>197.1</p></td>
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+<td><p>197.2</p></td>
 </tr>
 </tbody>
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@@ -510,7 +510,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/index.html b/dev/auto_examples/treeple/index.html
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@@ -588,7 +588,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/sg_execution_times.html b/dev/auto_examples/treeple/sg_execution_times.html
index 61d7e0b8f..1a5a3d4e3 100644
--- a/dev/auto_examples/treeple/sg_execution_times.html
+++ b/dev/auto_examples/treeple/sg_execution_times.html
@@ -433,7 +433,7 @@
                   
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-treeple-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>06:31.212</strong> total execution time for 9 files <strong>from auto_examples/treeple</strong>:</p>
+<p><strong>06:19.870</strong> total execution time for 9 files <strong>from auto_examples/treeple</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" />
@@ -455,40 +455,40 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="treeple_tutorial_1_2_pvalue.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-2-pvalue-py"><span class="std std-ref">Calculating p-value (MIGHT)</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_1_2_pvalue.py</span></code>)</p></td>
-<td><p>02:56.944</p></td>
-<td><p>197.1</p></td>
+<td><p>02:51.252</p></td>
+<td><p>197.3</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="treeple_tutorial_2_2_pvalue_multiview.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-2-pvalue-multiview-py"><span class="std std-ref">Calculating p-value with multiview data (CoMIGHT)</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_2_2_pvalue_multiview.py</span></code>)</p></td>
-<td><p>02:51.727</p></td>
-<td><p>197.1</p></td>
+<td><p>02:49.053</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="treeple_tutorial_2_1b_CMI.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-1b-cmi-py"><span class="std std-ref">Calculating CMI</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_2_1b_CMI.py</span></code>)</p></td>
-<td><p>00:07.840</p></td>
-<td><p>197.1</p></td>
+<td><p>00:07.551</p></td>
+<td><p>197.2</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="treeple_tutorial_0_GMM.html#sphx-glr-auto-examples-treeple-treeple-tutorial-0-gmm-py"><span class="std std-ref">Estimating true posteriors &amp; statistics</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_0_GMM.py</span></code>)</p></td>
-<td><p>00:06.326</p></td>
-<td><p>197.5</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="treeple_tutorial_2_1a_SA98_multiview.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-1a-sa98-multiview-py"><span class="std std-ref">Calculating S&#64;98 with multiview data</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_2_1a_SA98_multiview.py</span></code>)</p></td>
+<td><p>00:05.843</p></td>
+<td><p>198.5</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="treeple_tutorial_2_1a_SA98_multiview.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-1a-sa98-multiview-py"><span class="std std-ref">Calculating S&#64;98 with multiview data</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_2_1a_SA98_multiview.py</span></code>)</p></td>
-<td><p>00:06.082</p></td>
-<td><p>198.3</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="treeple_tutorial_0_GMM.html#sphx-glr-auto-examples-treeple-treeple-tutorial-0-gmm-py"><span class="std std-ref">Estimating true posteriors &amp; statistics</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_0_GMM.py</span></code>)</p></td>
+<td><p>00:05.757</p></td>
+<td><p>197.8</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="treeple_tutorial_1_1a_SA98.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1a-sa98-py"><span class="std std-ref">Calculating S&#64;98</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_1_1a_SA98.py</span></code>)</p></td>
-<td><p>00:05.790</p></td>
-<td><p>197.1</p></td>
+<td><p>00:05.426</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="treeple_tutorial_1_1c_pAUC.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1c-pauc-py"><span class="std std-ref">Calculating pAUC</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_1_1c_pAUC.py</span></code>)</p></td>
-<td><p>00:05.775</p></td>
-<td><p>197.1</p></td>
+<td><p>00:05.349</p></td>
+<td><p>197.2</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="treeple_tutorial_1_1b_MI.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1b-mi-py"><span class="std std-ref">Calculating MI</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_1_1b_MI.py</span></code>)</p></td>
-<td><p>00:05.452</p></td>
-<td><p>197.1</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="treeple_tutorial_1_1d_HD.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1d-hd-py"><span class="std std-ref">Calculating Hellinger Distance</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_1_1d_HD.py</span></code>)</p></td>
+<td><p>00:04.827</p></td>
+<td><p>197.2</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="treeple_tutorial_1_1d_HD.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1d-hd-py"><span class="std std-ref">Calculating Hellinger Distance</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_1_1d_HD.py</span></code>)</p></td>
-<td><p>00:05.275</p></td>
-<td><p>197.1</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="treeple_tutorial_1_1b_MI.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1b-mi-py"><span class="std std-ref">Calculating MI</span></a> (<code class="docutils literal notranslate"><span class="pre">treeple_tutorial_1_1b_MI.py</span></code>)</p></td>
+<td><p>00:04.813</p></td>
+<td><p>197.2</p></td>
 </tr>
 </tbody>
 </table>
@@ -534,7 +534,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_0_GMM.html b/dev/auto_examples/treeple/treeple_tutorial_0_GMM.html
index f22b94556..ef97a9498 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_0_GMM.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_0_GMM.html
@@ -714,7 +714,7 @@ <h2>Generate true statistic estimates: <a class="reference external" href="mailt
 <img src="../../_images/sphx_glr_treeple_tutorial_0_GMM_003.png" srcset="../../_images/sphx_glr_treeple_tutorial_0_GMM_003.png" alt="treeple tutorial 0 GMM" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>pAUC@90 = 0.63
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 6.326 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.757 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  198 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-treeple-treeple-tutorial-0-gmm-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -808,7 +808,7 @@ <h2>Generate true statistic estimates: <a class="reference external" href="mailt
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_1_1a_SA98.html b/dev/auto_examples/treeple/treeple_tutorial_1_1a_SA98.html
index 4cf3a2d83..8db5dd294 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_1_1a_SA98.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_1_1a_SA98.html
@@ -647,7 +647,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
 <img src="../../_images/sphx_glr_treeple_tutorial_1_1a_SA98_003.png" srcset="../../_images/sphx_glr_treeple_tutorial_1_1a_SA98_003.png" alt="treeple tutorial 1 1a SA98" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>S@98 = 0.12
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.790 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.426 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-treeple-treeple-tutorial-1-1a-sa98-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -738,7 +738,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_1_1b_MI.html b/dev/auto_examples/treeple/treeple_tutorial_1_1b_MI.html
index 08cdf7e39..f57b2deae 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_1_1b_MI.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_1_1b_MI.html
@@ -617,7 +617,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>MI = 0.16
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.452 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.813 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-treeple-treeple-tutorial-1-1b-mi-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -708,7 +708,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_1_1c_pAUC.html b/dev/auto_examples/treeple/treeple_tutorial_1_1c_pAUC.html
index 1a0319ba3..2ff096a4c 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_1_1c_pAUC.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_1_1c_pAUC.html
@@ -647,7 +647,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
 <img src="../../_images/sphx_glr_treeple_tutorial_1_1c_pAUC_003.png" srcset="../../_images/sphx_glr_treeple_tutorial_1_1c_pAUC_003.png" alt="treeple tutorial 1 1c pAUC" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>pAUC@90 = 0.59
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.775 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.349 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-treeple-treeple-tutorial-1-1c-pauc-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -738,7 +738,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_1_1d_HD.html b/dev/auto_examples/treeple/treeple_tutorial_1_1d_HD.html
index cfd9258b2..084885f34 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_1_1d_HD.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_1_1d_HD.html
@@ -610,7 +610,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Hellinger distance = 9.29
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.275 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.827 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-treeple-treeple-tutorial-1-1d-hd-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -701,7 +701,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_1_2_pvalue.html b/dev/auto_examples/treeple/treeple_tutorial_1_2_pvalue.html
index ea5a4b778..e8b5fad87 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_1_2_pvalue.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_1_2_pvalue.html
@@ -637,7 +637,7 @@ <h2>Fit the models and calculate the p-value<a class="headerlink" href="#fit-the
 The null hypothesis is rejected.
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 56.944 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 51.252 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-treeple-treeple-tutorial-1-2-pvalue-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -728,7 +728,7 @@ <h2>Fit the models and calculate the p-value<a class="headerlink" href="#fit-the
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_2_1a_SA98_multiview.html b/dev/auto_examples/treeple/treeple_tutorial_2_1a_SA98_multiview.html
index 4a677dcab..c7431b7bd 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_2_1a_SA98_multiview.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_2_1a_SA98_multiview.html
@@ -666,7 +666,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
 <img src="../../_images/sphx_glr_treeple_tutorial_2_1a_SA98_multiview_003.png" srcset="../../_images/sphx_glr_treeple_tutorial_2_1a_SA98_multiview_003.png" alt="treeple tutorial 2 1a SA98 multiview" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>S@98 = 0.48
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 6.082 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.843 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  198 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-treeple-treeple-tutorial-2-1a-sa98-multiview-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -757,7 +757,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_2_1b_CMI.html b/dev/auto_examples/treeple/treeple_tutorial_2_1b_CMI.html
index 5c9507d01..433a376dc 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_2_1b_CMI.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_2_1b_CMI.html
@@ -670,7 +670,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>CMI = 0.22
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.840 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.551 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-treeple-treeple-tutorial-2-1b-cmi-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -762,7 +762,7 @@ <h2>Calculate the statistic<a class="headerlink" href="#calculate-the-statistic"
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/treeple_tutorial_2_2_pvalue_multiview.html b/dev/auto_examples/treeple/treeple_tutorial_2_2_pvalue_multiview.html
index b698f4c8d..9c2d4abdc 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_2_2_pvalue_multiview.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_2_2_pvalue_multiview.html
@@ -683,7 +683,7 @@ <h2>Fit the models and calculate the p-value<a class="headerlink" href="#fit-the
 The null hypothesis is rejected.
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 51.727 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 49.053 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-treeple-treeple-tutorial-2-2-pvalue-multiview-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -766,7 +766,7 @@ <h2>Fit the models and calculate the p-value<a class="headerlink" href="#fit-the
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.ExtendedIsolationForest.html b/dev/generated/treeple.ExtendedIsolationForest.html
index ca484748d..ffe9a8f8d 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index 91a688a13..b0142707d 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index a94bb0555..bed8907a8 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index 230b7b725..2c2ec82d7 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index c891df344..7ad6a0250 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index 07bcd9dc2..aa70169e2 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index ba2985472..801c0492c 100644
--- a/dev/generated/treeple.UnsupervisedObliqueRandomForest.html
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index edaaf5299..1bfed2c6b 100644
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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diff --git a/dev/generated/treeple.datasets.approximate_clf_mutual_information.html b/dev/generated/treeple.datasets.approximate_clf_mutual_information.html
index 7495eec06..9a8552df3 100644
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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diff --git a/dev/generated/treeple.datasets.approximate_clf_mutual_information_with_monte_carlo.html b/dev/generated/treeple.datasets.approximate_clf_mutual_information_with_monte_carlo.html
index fdab62d53..c77d065fc 100644
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index 2e73bec5d..282c322f1 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index 5827588b8..bbb56253f 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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index 93bf01a50..04404be8f 100644
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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         <div class="footer-item">
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
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"auto_examples/treeple/treeple_tutorial_2_2_pvalue_multiview.rst", "generated/treeple.ExtendedIsolationForest.rst", "generated/treeple.ExtraTreesClassifier.rst", "generated/treeple.ExtraTreesRegressor.rst", "generated/treeple.HonestForestClassifier.rst", "generated/treeple.MultiViewRandomForestClassifier.rst", "generated/treeple.NearestNeighborsMetaEstimator.rst", "generated/treeple.ObliqueRandomForestClassifier.rst", "generated/treeple.ObliqueRandomForestRegressor.rst", "generated/treeple.PatchObliqueRandomForestClassifier.rst", "generated/treeple.PatchObliqueRandomForestRegressor.rst", "generated/treeple.RandomForestClassifier.rst", "generated/treeple.RandomForestRegressor.rst", "generated/treeple.UnsupervisedObliqueRandomForest.rst", "generated/treeple.UnsupervisedRandomForest.rst", "generated/treeple.datasets.approximate_clf_mutual_information.rst", "generated/treeple.datasets.approximate_clf_mutual_information_with_monte_carlo.rst", "generated/treeple.datasets.make_gaussian_mixture.rst", "generated/treeple.datasets.make_joint_factor_model.rst", "generated/treeple.datasets.make_marron_wand_classification.rst", "generated/treeple.datasets.make_quadratic_classification.rst", "generated/treeple.datasets.make_trunk_classification.rst", "generated/treeple.datasets.make_trunk_mixture_classification.rst", "generated/treeple.experimental.conditional_resample.rst", "generated/treeple.experimental.mutual_info.cmi_gaussian.rst", "generated/treeple.experimental.mutual_info.entropy_gaussian.rst", "generated/treeple.experimental.mutual_info.mi_gaussian.rst", "generated/treeple.experimental.mutual_info_ksg.rst", "generated/treeple.experimental.simulate.simulate_helix.rst", "generated/treeple.experimental.simulate.simulate_multivariate_gaussian.rst", "generated/treeple.experimental.simulate.simulate_sphere.rst", "generated/treeple.stats.PermutationHonestForestClassifier.rst", "generated/treeple.stats.build_coleman_forest.rst", "generated/treeple.stats.build_cv_forest.rst", "generated/treeple.stats.build_oob_forest.rst", "generated/treeple.stats.build_permutation_forest.rst", "generated/treeple.tree.DecisionTreeClassifier.rst", "generated/treeple.tree.DecisionTreeRegressor.rst", "generated/treeple.tree.ExtraTreeClassifier.rst", "generated/treeple.tree.ExtraTreeRegressor.rst", "generated/treeple.tree.HonestTreeClassifier.rst", "generated/treeple.tree.MultiViewDecisionTreeClassifier.rst", "generated/treeple.tree.ObliqueDecisionTreeClassifier.rst", "generated/treeple.tree.ObliqueDecisionTreeRegressor.rst", "generated/treeple.tree.PatchObliqueDecisionTreeClassifier.rst", "generated/treeple.tree.PatchObliqueDecisionTreeRegressor.rst", "generated/treeple.tree.UnsupervisedDecisionTree.rst", "generated/treeple.tree.UnsupervisedObliqueDecisionTree.rst", "generated/treeple.tree.compute_forest_similarity_matrix.rst", "index.rst", "install.rst", "modules/ensemble.rst", "modules/supervised_tree.rst", "modules/unsupervised_tree.rst", "sg_execution_times.rst", "use.rst", "user_guide.rst", "whats_new.rst", "whats_new/_contributors.rst", "whats_new/v0.1.rst", "whats_new/v0.2.rst", "whats_new/v0.3.rst", "whats_new/v0.4.rst", "whats_new/v0.5.rst", "whats_new/v0.6.rst", "whats_new/v0.7.rst", "whats_new/v0.8.rst", "whats_new/v0.9.rst"], "titles": ["API Documentation", "Calibrated decision trees via honesty", "Plot honest forest calibrations on overlapping gaussian simulations", "Computation times", "Examples", "Multi-view learning with Decision-trees", "Analyze a multi-view dataset with a multi-view random forest", "Computation times", "Outlier-detection", "ExtendedIsolationForest example", "Computation times", "Quantile Predictions with Random Forest", "Predicting with different quantile interpolation methods", "Quantile prediction intervals with Random Forest Regressor", "Quantile prediction with Random Forest Regressor class", "Quantile regression with oblique regression forest", "Computation times", "Computation times", "Comparing sklearn and treeple decision trees", "Plot the decision surface of decision trees trained on the iris dataset", "Computation times", "Sparse oblique projections with oblique decision-trees", "Compare extra oblique forest and oblique random forest predictions on cc18 datasets", "Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes", "Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation", "Compare the decision surfaces of oblique extra-trees with standard oblique trees", "Plot oblique forest and axis-aligned random forest predictions on cc18 datasets", "Computation times", "Decision-tree splitters", "Demonstrate and visualize a multi-view projection matrix for an axis-aligned tree", "Plot the projection matrices of an oblique tree for sampling images, or time-series", "Plot the sparse projection matrices of an oblique tree", "Computation times", "Treeple for Hypothesis Testing", "Computation times", "Estimating true posteriors &amp; statistics", "Calculating S&#64;98", "Calculating MI", "Calculating pAUC", "Calculating Hellinger Distance", "Calculating p-value (MIGHT)", "Calculating S&#64;98 with multiview data", "Calculating CMI", "Calculating p-value with multiview data (CoMIGHT)", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ExtendedIsolationForest", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ExtraTreesClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ExtraTreesRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.HonestForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.MultiViewRandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.NearestNeighborsMetaEstimator", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ObliqueRandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ObliqueRandomForestRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.PatchObliqueRandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.PatchObliqueRandomForestRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.RandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.RandomForestRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.UnsupervisedObliqueRandomForest", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.UnsupervisedRandomForest", "treeple.datasets.approximate_clf_mutual_information", "treeple.datasets.approximate_clf_mutual_information_with_monte_carlo", "treeple.datasets.make_gaussian_mixture", "treeple.datasets.make_joint_factor_model", "treeple.datasets.make_marron_wand_classification", "treeple.datasets.make_quadratic_classification", "treeple.datasets.make_trunk_classification", "treeple.datasets.make_trunk_mixture_classification", "treeple.experimental.conditional_resample", "treeple.experimental.mutual_info.cmi_gaussian", "treeple.experimental.mutual_info.entropy_gaussian", "treeple.experimental.mutual_info.mi_gaussian", "treeple.experimental.mutual_info_ksg", "treeple.experimental.simulate.simulate_helix", "treeple.experimental.simulate.simulate_multivariate_gaussian", "treeple.experimental.simulate.simulate_sphere", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.stats</span></code>.PermutationHonestForestClassifier", "treeple.stats.build_coleman_forest", "treeple.stats.build_cv_forest", "treeple.stats.build_oob_forest", "treeple.stats.build_permutation_forest", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.DecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.DecisionTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ExtraTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ExtraTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.HonestTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.MultiViewDecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ObliqueDecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ObliqueDecisionTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.PatchObliqueDecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.PatchObliqueDecisionTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.UnsupervisedDecisionTree", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.UnsupervisedObliqueDecisionTree", "treeple.tree.compute_forest_similarity_matrix", "<strong>treeple</strong>", "Installation", "<span class=\"section-number\">3. </span>Oblique Random Forests", "<span class=\"section-number\">1. </span>Supervised Decision Trees", "<span class=\"section-number\">2. </span>Unsupervised Decision Trees", "Computation times", "Examples using treeple", "User guide: contents", "Release History", "&lt;no title&gt;", "Version 0.1", "Version 0.2", "Version 0.3", "Version 0.4", "Version 0.5", "Version 0.6", "Version 0.7", "Version 0.8", "Version 0.9"], "terms": {"treepl": [0, 2, 6, 9, 12, 15, 19, 22, 23, 24, 25, 26, 29, 30, 31, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 93, 94, 95, 97, 100, 105, 106, 107, 108, 109, 110], "manifold": [0, 30, 52, 53, 87, 88, 92, 94, 102], "obliqu": [0, 11, 16, 19, 27, 28, 32, 48, 50, 51, 52, 53, 56, 84, 85, 86, 87, 88, 90, 92, 93, 97, 99, 102, 103], "random": [0, 2, 5, 7, 9, 15, 16, 21, 25, 27, 29, 30, 31, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 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tree": [[29, "demonstrate-and-visualize-a-multi-view-projection-matrix-for-an-axis-aligned-tree"]], "Initialize the multi-view splitter": [[29, "initialize-the-multi-view-splitter"]], "Sample the projection matrix": [[29, "sample-the-projection-matrix"]], "Sampling split candidates scaled to each feature-set dimensionality": [[29, "sampling-split-candidates-scaled-to-each-feature-set-dimensionality"]], "Plot the projection matrices of an oblique tree for sampling images, or time-series": [[30, "plot-the-projection-matrices-of-an-oblique-tree-for-sampling-images-or-time-series"]], "Initialize patch splitter": [[30, "initialize-patch-splitter"], [31, "initialize-patch-splitter"]], "Generate 1D patches": [[30, "generate-1d-patches"]], "Generate 2D patches": [[30, "generate-2d-patches"]], "Generate 3D patches": [[30, "generate-3d-patches"]], "Discontiguous Patches": [[30, "discontiguous-patches"]], "Plot the sparse projection matrices of an oblique tree": [[31, "plot-the-sparse-projection-matrices-of-an-oblique-tree"]], "Initialize the splitter": [[31, "initialize-the-splitter"]], "Generate projection matrix": [[31, "generate-projection-matrix"]], "Estimating true posteriors & statistics": [[35, "estimating-true-posteriors-statistics"]], "True posterior estimation": [[35, "true-posterior-estimation"]], "Generate gaussian mixture simulations": [[35, "generate-gaussian-mixture-simulations"]], "Calculate X priors with true pdfs": [[35, "calculate-x-priors-with-true-pdfs"]], "Calculate true posteriors": [[35, "calculate-true-posteriors"]], "Generate true statistic estimates: S@98": [[35, "generate-true-statistic-estimates-s-98"]], "Generate true statistic estimates: MI": [[35, "generate-true-statistic-estimates-mi"]], "Generate true statistic estimates: pAUC@90": [[35, "generate-true-statistic-estimates-pauc-90"]], "Calculating S@98": [[36, "calculating-s-98"]], "S@98": [[36, "s-98"]], "Create a simulation with two gaussians": [[36, "create-a-simulation-with-two-gaussians"], [37, "create-a-simulation-with-two-gaussians"], [38, "create-a-simulation-with-two-gaussians"], [39, "create-a-simulation-with-two-gaussians"], [40, "create-a-simulation-with-two-gaussians"], [42, "create-a-simulation-with-two-gaussians"], [43, "create-a-simulation-with-two-gaussians"]], "Fit the model": [[36, "fit-the-model"], [37, "fit-the-model"], [38, "fit-the-model"], [39, "fit-the-model"]], "Calculate the statistic": [[36, "calculate-the-statistic"], [37, "calculate-the-statistic"], [38, "calculate-the-statistic"], [39, "calculate-the-statistic"], [41, "calculate-the-statistic"], [42, "calculate-the-statistic"]], "Calculating MI": [[37, "calculating-mi"]], "MI": [[37, "mi"], [40, "mi"]], "Calculating pAUC": [[38, "calculating-pauc"]], "pAUC@r": [[38, "pauc-r"]], "Calculating Hellinger Distance": [[39, "calculating-hellinger-distance"]], "Hellinger Distance": [[39, "hellinger-distance"]], "Calculating p-value (MIGHT)": [[40, "calculating-p-value-might"]], "Independence Testing": [[40, "independence-testing"], [43, "independence-testing"]], "Fit the models and calculate the p-value": [[40, "fit-the-models-and-calculate-the-p-value"], [43, "fit-the-models-and-calculate-the-p-value"]], "Calculating S@98 with multiview data": [[41, "calculating-s-98-with-multiview-data"]], "S@98 with multiview data": [[41, "s-98-with-multiview-data"]], "Create a two-dimensional simulation with gaussians": [[41, "create-a-two-dimensional-simulation-with-gaussians"]], "Fit the model with X and Z": [[41, "fit-the-model-with-x-and-z"], [42, "fit-the-model-with-x-and-z"]], "Calculating CMI": [[42, "calculating-cmi"]], "CMI": [[42, "cmi"], [43, "cmi"]], "Fit the model with Z only": [[42, "fit-the-model-with-z-only"]], "Calculating p-value with multiview data (CoMIGHT)": [[43, "calculating-p-value-with-multiview-data-comight"]], "Modify the simulation with permuted variable two": [[43, "modify-the-simulation-with-permuted-variable-two"]], "treeple.ExtendedIsolationForest": [[44, "treeple-extendedisolationforest"]], "treeple.ExtraTreesClassifier": [[45, "treeple-extratreesclassifier"]], "treeple.ExtraTreesRegressor": [[46, "treeple-extratreesregressor"]], "treeple.HonestForestClassifier": [[47, "treeple-honestforestclassifier"]], "treeple.MultiViewRandomForestClassifier": [[48, "treeple-multiviewrandomforestclassifier"]], "treeple.NearestNeighborsMetaEstimator": [[49, "treeple-nearestneighborsmetaestimator"]], "treeple.ObliqueRandomForestClassifier": [[50, "treeple-obliquerandomforestclassifier"]], "treeple.ObliqueRandomForestRegressor": [[51, "treeple-obliquerandomforestregressor"]], "treeple.PatchObliqueRandomForestClassifier": [[52, "treeple-patchobliquerandomforestclassifier"]], "treeple.PatchObliqueRandomForestRegressor": [[53, "treeple-patchobliquerandomforestregressor"]], "treeple.RandomForestClassifier": [[54, "treeple-randomforestclassifier"]], "treeple.RandomForestRegressor": [[55, "treeple-randomforestregressor"]], "treeple.UnsupervisedObliqueRandomForest": [[56, "treeple-unsupervisedobliquerandomforest"]], "treeple.UnsupervisedRandomForest": [[57, "treeple-unsupervisedrandomforest"]], "treeple.datasets.approximate_clf_mutual_information": [[58, "treeple-datasets-approximate-clf-mutual-information"]], "treeple.datasets.approximate_clf_mutual_information_with_monte_carlo": [[59, "treeple-datasets-approximate-clf-mutual-information-with-monte-carlo"]], "treeple.datasets.make_gaussian_mixture": [[60, "treeple-datasets-make-gaussian-mixture"]], "treeple.datasets.make_joint_factor_model": [[61, "treeple-datasets-make-joint-factor-model"]], "treeple.datasets.make_marron_wand_classification": [[62, "treeple-datasets-make-marron-wand-classification"]], "treeple.datasets.make_quadratic_classification": [[63, "treeple-datasets-make-quadratic-classification"]], "treeple.datasets.make_trunk_classification": [[64, "treeple-datasets-make-trunk-classification"]], "Examples using treeple.datasets.make_trunk_classification": [[64, "examples-using-treeple-datasets-make-trunk-classification"]], "treeple.datasets.make_trunk_mixture_classification": [[65, "treeple-datasets-make-trunk-mixture-classification"]], "Examples using treeple.datasets.make_trunk_mixture_classification": [[65, "examples-using-treeple-datasets-make-trunk-mixture-classification"]], "treeple.experimental.conditional_resample": [[66, "treeple-experimental-conditional-resample"]], "treeple.experimental.mutual_info.cmi_gaussian": [[67, "treeple-experimental-mutual-info-cmi-gaussian"]], "treeple.experimental.mutual_info.entropy_gaussian": [[68, "treeple-experimental-mutual-info-entropy-gaussian"]], "treeple.experimental.mutual_info.mi_gaussian": [[69, "treeple-experimental-mutual-info-mi-gaussian"]], "treeple.experimental.mutual_info_ksg": [[70, "treeple-experimental-mutual-info-ksg"]], "treeple.experimental.simulate.simulate_helix": [[71, "treeple-experimental-simulate-simulate-helix"]], "treeple.experimental.simulate.simulate_multivariate_gaussian": [[72, "treeple-experimental-simulate-simulate-multivariate-gaussian"]], "treeple.experimental.simulate.simulate_sphere": [[73, "treeple-experimental-simulate-simulate-sphere"]], "treeple.stats.PermutationHonestForestClassifier": [[74, "treeple-stats-permutationhonestforestclassifier"]], "treeple.stats.build_coleman_forest": [[75, "treeple-stats-build-coleman-forest"]], "Examples using treeple.stats.build_coleman_forest": [[75, "examples-using-treeple-stats-build-coleman-forest"]], "treeple.stats.build_cv_forest": [[76, "treeple-stats-build-cv-forest"]], "treeple.stats.build_oob_forest": [[77, "treeple-stats-build-oob-forest"]], "Examples using treeple.stats.build_oob_forest": [[77, "examples-using-treeple-stats-build-oob-forest"]], "treeple.stats.build_permutation_forest": [[78, "treeple-stats-build-permutation-forest"]], "treeple.tree.DecisionTreeClassifier": [[79, "treeple-tree-decisiontreeclassifier"]], "treeple.tree.DecisionTreeRegressor": [[80, "treeple-tree-decisiontreeregressor"]], "treeple.tree.ExtraTreeClassifier": [[81, "treeple-tree-extratreeclassifier"]], "treeple.tree.ExtraTreeRegressor": [[82, "treeple-tree-extratreeregressor"]], "treeple.tree.HonestTreeClassifier": [[83, "treeple-tree-honesttreeclassifier"]], "treeple.tree.MultiViewDecisionTreeClassifier": [[84, "treeple-tree-multiviewdecisiontreeclassifier"]], "treeple.tree.ObliqueDecisionTreeClassifier": [[85, "treeple-tree-obliquedecisiontreeclassifier"]], "treeple.tree.ObliqueDecisionTreeRegressor": [[86, "treeple-tree-obliquedecisiontreeregressor"]], "treeple.tree.PatchObliqueDecisionTreeClassifier": [[87, "treeple-tree-patchobliquedecisiontreeclassifier"]], "treeple.tree.PatchObliqueDecisionTreeRegressor": [[88, "treeple-tree-patchobliquedecisiontreeregressor"]], "treeple.tree.UnsupervisedDecisionTree": [[89, "treeple-tree-unsuperviseddecisiontree"]], "treeple.tree.UnsupervisedObliqueDecisionTree": [[90, "treeple-tree-unsupervisedobliquedecisiontree"]], "treeple.tree.compute_forest_similarity_matrix": [[91, "treeple-tree-compute-forest-similarity-matrix"]], "treeple": [[92, "treeple"]], "Contents": [[92, "contents"]], "Getting started:": [[92, null]], "Indices and tables": [[92, "indices-and-tables"]], "Installation": [[93, "installation"]], "Dependencies": [[93, "dependencies"]], "Installing with pip": [[93, "installing-with-pip"]], "Installing from source with Meson": [[93, "installing-from-source-with-meson"]], "Conda (Recommended)": [[93, "conda-recommended"]], "Oblique Random Forests": [[94, "oblique-random-forests"]], "Examples:": [[94, null]], "Feature importance evaluation": [[94, "feature-importance-evaluation"]], "Supervised Decision Trees": [[95, "supervised-decision-trees"]], "Oblique Trees": [[95, "oblique-trees"]], "Differences compared to decision trees": [[95, "differences-compared-to-decision-trees"]], "Mathematical formulation": [[95, "mathematical-formulation"]], "Classification, regression and multi-output problems": [[95, "classification-regression-and-multi-output-problems"]], "Complexity": [[95, "complexity"]], "Tips on practical use": [[95, "tips-on-practical-use"]], "Limitations compared to decision trees": [[95, "limitations-compared-to-decision-trees"]], "References:": [[95, null]], "Honest Trees": [[95, "honest-trees"]], "Unsupervised Decision Trees": [[96, "unsupervised-decision-trees"]], "Unsupervised Criterion": [[96, "unsupervised-criterion"]], "Two-Means": [[96, "two-means"]], "Fast-BIC": [[96, "fast-bic"]], "Evaluating Unsupervised Trees": [[96, "evaluating-unsupervised-trees"]], "Examples using treeple": [[98, "examples-using-treeple"]], "User Guide": [[99, "user-guide"]], "Release History": [[100, "release-history"]], "Version 0.1": [[102, "version-0-1"]], "Changelog": [[102, "changelog"], [103, "changelog"], [104, "changelog"], [105, "changelog"], [106, "changelog"], [107, "changelog"], [108, "changelog"], [109, "changelog"], [110, "changelog"]], "Code and Documentation Contributors": [[102, "code-and-documentation-contributors"], [103, "code-and-documentation-contributors"], [104, "code-and-documentation-contributors"], [105, "code-and-documentation-contributors"], [106, "code-and-documentation-contributors"], [107, "code-and-documentation-contributors"], [108, "code-and-documentation-contributors"], [109, "code-and-documentation-contributors"], [110, "code-and-documentation-contributors"]], "Version 0.2": [[103, "version-0-2"]], "Version 0.3": [[104, "version-0-3"]], "Version 0.4": [[105, "version-0-4"]], "Version 0.5": [[106, "version-0-5"]], "Version 0.6": [[107, "version-0-6"]], "Version 0.7": [[108, "version-0-7"]], "Version 0.8": [[109, "version-0-8"]], "Version 0.9": [[110, "version-0-9"]]}, "indexentries": {"module": [[0, "module-treeple"], [0, "module-treeple._lib.sklearn.ensemble"]], "treeple": [[0, "module-treeple"]], "treeple._lib.sklearn.ensemble": [[0, "module-treeple._lib.sklearn.ensemble"]], "extendedisolationforest (class in treeple)": [[44, "treeple.ExtendedIsolationForest"]], "decision_function() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.decision_function"]], "estimators_samples_ (treeple.extendedisolationforest property)": [[44, "treeple.ExtendedIsolationForest.estimators_samples_"]], "fit() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.fit"]], "fit_predict() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.fit_predict"]], "get_metadata_routing() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.get_metadata_routing"]], "get_params() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.get_params"]], "predict() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.predict"]], "score_samples() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.score_samples"]], "set_fit_request() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.set_fit_request"]], "set_params() (treeple.extendedisolationforest method)": [[44, "treeple.ExtendedIsolationForest.set_params"]], "extratreesclassifier (class in treeple)": [[45, "treeple.ExtraTreesClassifier"]], "apply() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.apply"]], "decision_path() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.decision_path"]], "estimators_samples_ (treeple.extratreesclassifier property)": [[45, "treeple.ExtraTreesClassifier.estimators_samples_"]], "feature_importances_ (treeple.extratreesclassifier property)": [[45, "treeple.ExtraTreesClassifier.feature_importances_"]], "fit() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.fit"]], "get_leaf_node_samples() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.get_leaf_node_samples"]], "get_metadata_routing() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.get_metadata_routing"]], "get_params() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.get_params"]], "partial_fit() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.partial_fit"]], "predict() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.predict"]], "predict_log_proba() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.predict_log_proba"]], "predict_proba() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.predict_proba"]], "predict_quantiles() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.predict_quantiles"]], "score() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.score"]], "set_fit_request() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.set_fit_request"]], "set_params() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.set_params"]], "set_partial_fit_request() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.set_partial_fit_request"]], "set_score_request() (treeple.extratreesclassifier method)": [[45, "treeple.ExtraTreesClassifier.set_score_request"]], "extratreesregressor (class in treeple)": [[46, "treeple.ExtraTreesRegressor"]], "apply() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.apply"]], "decision_path() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.decision_path"]], "estimators_samples_ (treeple.extratreesregressor property)": [[46, "treeple.ExtraTreesRegressor.estimators_samples_"]], "feature_importances_ (treeple.extratreesregressor property)": [[46, "treeple.ExtraTreesRegressor.feature_importances_"]], "fit() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.fit"]], "get_leaf_node_samples() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.get_leaf_node_samples"]], "get_metadata_routing() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.get_metadata_routing"]], "get_params() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.get_params"]], "predict() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.predict"]], "predict_quantiles() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.predict_quantiles"]], "score() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.score"]], "set_fit_request() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.set_fit_request"]], "set_params() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.set_params"]], "set_score_request() (treeple.extratreesregressor method)": [[46, "treeple.ExtraTreesRegressor.set_score_request"]], "honestforestclassifier (class in treeple)": [[47, "treeple.HonestForestClassifier"]], "apply() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.apply"]], "decision_path() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.decision_path"]], "estimators_samples_ (treeple.honestforestclassifier property)": [[47, "treeple.HonestForestClassifier.estimators_samples_"]], "feature_importances_ (treeple.honestforestclassifier property)": [[47, "treeple.HonestForestClassifier.feature_importances_"]], "fit() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.fit"]], "get_leaf_node_samples() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.get_leaf_node_samples"]], "get_metadata_routing() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.get_metadata_routing"]], "get_params() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.get_params"]], "honest_indices_ (treeple.honestforestclassifier property)": [[47, "treeple.HonestForestClassifier.honest_indices_"]], "oob_samples_ (treeple.honestforestclassifier property)": [[47, "treeple.HonestForestClassifier.oob_samples_"]], "partial_fit() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.partial_fit"]], "predict() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.predict"]], "predict_log_proba() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.predict_log_proba"]], "predict_proba() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.predict_proba"]], "predict_proba_per_tree() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.predict_proba_per_tree"]], "predict_quantiles() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.predict_quantiles"]], "score() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.score"]], "set_fit_request() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.set_fit_request"]], "set_params() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.set_params"]], "set_partial_fit_request() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.set_partial_fit_request"]], "set_score_request() (treeple.honestforestclassifier method)": [[47, "treeple.HonestForestClassifier.set_score_request"]], "structure_indices_ (treeple.honestforestclassifier property)": [[47, "treeple.HonestForestClassifier.structure_indices_"]], "multiviewrandomforestclassifier (class in treeple)": [[48, "treeple.MultiViewRandomForestClassifier"]], "apply() (treeple.multiviewrandomforestclassifier method)": 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"auto_examples/quantile_predictions/index.rst", "auto_examples/quantile_predictions/plot_quantile_interpolation_with_RF.rst", "auto_examples/quantile_predictions/plot_quantile_regression_intervals_with_RF.rst", "auto_examples/quantile_predictions/plot_quantile_toy_example_with_RF.rst", "auto_examples/quantile_predictions/plot_quantile_vs_standard_oblique_forest.rst", "auto_examples/quantile_predictions/sg_execution_times.rst", "auto_examples/sg_execution_times.rst", "auto_examples/sklearn_vs_treeple/index.rst", "auto_examples/sklearn_vs_treeple/plot_iris_dtc.rst", "auto_examples/sklearn_vs_treeple/sg_execution_times.rst", "auto_examples/sparse_oblique_trees/index.rst", "auto_examples/sparse_oblique_trees/plot_extra_oblique_random_forest.rst", "auto_examples/sparse_oblique_trees/plot_extra_orf_sample_size.rst", "auto_examples/sparse_oblique_trees/plot_oblique_axis_aligned_forests_sparse_parity.rst", "auto_examples/sparse_oblique_trees/plot_oblique_forests_iris.rst", "auto_examples/sparse_oblique_trees/plot_oblique_random_forest.rst", "auto_examples/sparse_oblique_trees/sg_execution_times.rst", "auto_examples/splitters/index.rst", "auto_examples/splitters/plot_multiview_axis_aligned_splitter.rst", "auto_examples/splitters/plot_projection_matrices.rst", "auto_examples/splitters/plot_sparse_projection_matrix.rst", "auto_examples/splitters/sg_execution_times.rst", "auto_examples/treeple/index.rst", "auto_examples/treeple/sg_execution_times.rst", "auto_examples/treeple/treeple_tutorial_0_GMM.rst", "auto_examples/treeple/treeple_tutorial_1_1a_SA98.rst", "auto_examples/treeple/treeple_tutorial_1_1b_MI.rst", "auto_examples/treeple/treeple_tutorial_1_1c_pAUC.rst", "auto_examples/treeple/treeple_tutorial_1_1d_HD.rst", "auto_examples/treeple/treeple_tutorial_1_2_pvalue.rst", "auto_examples/treeple/treeple_tutorial_2_1a_SA98_multiview.rst", "auto_examples/treeple/treeple_tutorial_2_1b_CMI.rst", "auto_examples/treeple/treeple_tutorial_2_2_pvalue_multiview.rst", "generated/treeple.ExtendedIsolationForest.rst", "generated/treeple.ExtraTreesClassifier.rst", "generated/treeple.ExtraTreesRegressor.rst", "generated/treeple.HonestForestClassifier.rst", "generated/treeple.MultiViewRandomForestClassifier.rst", "generated/treeple.NearestNeighborsMetaEstimator.rst", "generated/treeple.ObliqueRandomForestClassifier.rst", "generated/treeple.ObliqueRandomForestRegressor.rst", "generated/treeple.PatchObliqueRandomForestClassifier.rst", "generated/treeple.PatchObliqueRandomForestRegressor.rst", "generated/treeple.RandomForestClassifier.rst", "generated/treeple.RandomForestRegressor.rst", "generated/treeple.UnsupervisedObliqueRandomForest.rst", "generated/treeple.UnsupervisedRandomForest.rst", "generated/treeple.datasets.approximate_clf_mutual_information.rst", "generated/treeple.datasets.approximate_clf_mutual_information_with_monte_carlo.rst", "generated/treeple.datasets.make_gaussian_mixture.rst", "generated/treeple.datasets.make_joint_factor_model.rst", "generated/treeple.datasets.make_marron_wand_classification.rst", "generated/treeple.datasets.make_quadratic_classification.rst", "generated/treeple.datasets.make_trunk_classification.rst", "generated/treeple.datasets.make_trunk_mixture_classification.rst", "generated/treeple.experimental.conditional_resample.rst", "generated/treeple.experimental.mutual_info.cmi_gaussian.rst", "generated/treeple.experimental.mutual_info.entropy_gaussian.rst", "generated/treeple.experimental.mutual_info.mi_gaussian.rst", "generated/treeple.experimental.mutual_info_ksg.rst", "generated/treeple.experimental.simulate.simulate_helix.rst", "generated/treeple.experimental.simulate.simulate_multivariate_gaussian.rst", "generated/treeple.experimental.simulate.simulate_sphere.rst", "generated/treeple.stats.PermutationHonestForestClassifier.rst", "generated/treeple.stats.build_coleman_forest.rst", "generated/treeple.stats.build_cv_forest.rst", "generated/treeple.stats.build_oob_forest.rst", "generated/treeple.stats.build_permutation_forest.rst", "generated/treeple.tree.DecisionTreeClassifier.rst", "generated/treeple.tree.DecisionTreeRegressor.rst", "generated/treeple.tree.ExtraTreeClassifier.rst", "generated/treeple.tree.ExtraTreeRegressor.rst", "generated/treeple.tree.HonestTreeClassifier.rst", "generated/treeple.tree.MultiViewDecisionTreeClassifier.rst", "generated/treeple.tree.ObliqueDecisionTreeClassifier.rst", "generated/treeple.tree.ObliqueDecisionTreeRegressor.rst", "generated/treeple.tree.PatchObliqueDecisionTreeClassifier.rst", "generated/treeple.tree.PatchObliqueDecisionTreeRegressor.rst", "generated/treeple.tree.UnsupervisedDecisionTree.rst", "generated/treeple.tree.UnsupervisedObliqueDecisionTree.rst", "generated/treeple.tree.compute_forest_similarity_matrix.rst", "index.rst", "install.rst", "modules/ensemble.rst", "modules/supervised_tree.rst", "modules/unsupervised_tree.rst", "sg_execution_times.rst", "use.rst", "user_guide.rst", "whats_new.rst", "whats_new/_contributors.rst", "whats_new/v0.1.rst", "whats_new/v0.2.rst", "whats_new/v0.3.rst", "whats_new/v0.4.rst", "whats_new/v0.5.rst", "whats_new/v0.6.rst", "whats_new/v0.7.rst", "whats_new/v0.8.rst", "whats_new/v0.9.rst"], "titles": ["API Documentation", "Calibrated decision trees via honesty", "Plot honest forest calibrations on overlapping gaussian simulations", "Computation times", "Examples", "Multi-view learning with Decision-trees", "Analyze a multi-view dataset with a multi-view random forest", "Computation times", "Outlier-detection", "ExtendedIsolationForest example", "Computation times", "Quantile Predictions with Random Forest", "Predicting with different quantile interpolation methods", "Quantile prediction intervals with Random Forest Regressor", "Quantile prediction with Random Forest Regressor class", "Quantile regression with oblique regression forest", "Computation times", "Computation times", "Comparing sklearn and treeple decision trees", "Plot the decision surface of decision trees trained on the iris dataset", "Computation times", "Sparse oblique projections with oblique decision-trees", "Compare extra oblique forest and oblique random forest predictions on cc18 datasets", "Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes", "Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation", "Compare the decision surfaces of oblique extra-trees with standard oblique trees", "Plot oblique forest and axis-aligned random forest predictions on cc18 datasets", "Computation times", "Decision-tree splitters", "Demonstrate and visualize a multi-view projection matrix for an axis-aligned tree", "Plot the projection matrices of an oblique tree for sampling images, or time-series", "Plot the sparse projection matrices of an oblique tree", "Computation times", "Treeple for Hypothesis Testing", "Computation times", "Estimating true posteriors &amp; statistics", "Calculating S&#64;98", "Calculating MI", "Calculating pAUC", "Calculating Hellinger Distance", "Calculating p-value (MIGHT)", "Calculating S&#64;98 with multiview data", "Calculating CMI", "Calculating p-value with multiview data (CoMIGHT)", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ExtendedIsolationForest", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ExtraTreesClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ExtraTreesRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.HonestForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.MultiViewRandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.NearestNeighborsMetaEstimator", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ObliqueRandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.ObliqueRandomForestRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.PatchObliqueRandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.PatchObliqueRandomForestRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.RandomForestClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.RandomForestRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.UnsupervisedObliqueRandomForest", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple</span></code>.UnsupervisedRandomForest", "treeple.datasets.approximate_clf_mutual_information", "treeple.datasets.approximate_clf_mutual_information_with_monte_carlo", "treeple.datasets.make_gaussian_mixture", "treeple.datasets.make_joint_factor_model", "treeple.datasets.make_marron_wand_classification", "treeple.datasets.make_quadratic_classification", "treeple.datasets.make_trunk_classification", "treeple.datasets.make_trunk_mixture_classification", "treeple.experimental.conditional_resample", "treeple.experimental.mutual_info.cmi_gaussian", "treeple.experimental.mutual_info.entropy_gaussian", "treeple.experimental.mutual_info.mi_gaussian", "treeple.experimental.mutual_info_ksg", "treeple.experimental.simulate.simulate_helix", "treeple.experimental.simulate.simulate_multivariate_gaussian", "treeple.experimental.simulate.simulate_sphere", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.stats</span></code>.PermutationHonestForestClassifier", "treeple.stats.build_coleman_forest", "treeple.stats.build_cv_forest", "treeple.stats.build_oob_forest", "treeple.stats.build_permutation_forest", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.DecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.DecisionTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ExtraTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ExtraTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.HonestTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.MultiViewDecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ObliqueDecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.ObliqueDecisionTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.PatchObliqueDecisionTreeClassifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.PatchObliqueDecisionTreeRegressor", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.UnsupervisedDecisionTree", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">treeple.tree</span></code>.UnsupervisedObliqueDecisionTree", "treeple.tree.compute_forest_similarity_matrix", "<strong>treeple</strong>", "Installation", "<span class=\"section-number\">3. </span>Oblique Random Forests", "<span class=\"section-number\">1. </span>Supervised Decision Trees", "<span class=\"section-number\">2. </span>Unsupervised Decision Trees", "Computation times", "Examples using treeple", "User guide: contents", "Release History", "&lt;no title&gt;", "Version 0.1", "Version 0.2", "Version 0.3", "Version 0.4", "Version 0.5", "Version 0.6", "Version 0.7", "Version 0.8", "Version 0.9"], "terms": {"treepl": [0, 2, 6, 9, 12, 15, 19, 22, 23, 24, 25, 26, 29, 30, 31, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 93, 94, 95, 97, 100, 105, 106, 107, 108, 109, 110], "manifold": [0, 30, 52, 53, 87, 88, 92, 94, 102], "obliqu": [0, 11, 16, 19, 27, 28, 32, 48, 50, 51, 52, 53, 56, 84, 85, 86, 87, 88, 90, 92, 93, 97, 99, 102, 103], "random": [0, 2, 5, 7, 9, 15, 16, 21, 25, 27, 29, 30, 31, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 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"experimental-functionality"]], "Calibrated decision trees via honesty": [[1, "calibrated-decision-trees-via-honesty"], [4, "calibrated-decision-trees-via-honesty"], [98, "calibrated-decision-trees-via-honesty"]], "Plot honest forest calibrations on overlapping gaussian simulations": [[2, "plot-honest-forest-calibrations-on-overlapping-gaussian-simulations"]], "References": [[2, "references"], [9, "references"], [22, "references"], [23, "references"], [92, null], [94, null], [94, null], [96, null]], "Computation times": [[3, "computation-times"], [7, "computation-times"], [10, "computation-times"], [16, "computation-times"], [17, "computation-times"], [20, "computation-times"], [27, "computation-times"], [32, "computation-times"], [34, "computation-times"], [97, "computation-times"]], "Examples": [[4, "examples"], [98, "examples"]], "Multi-view learning with Decision-trees": [[4, "multi-view-learning-with-decision-trees"], [5, "multi-view-learning-with-decision-trees"], [98, "multi-view-learning-with-decision-trees"]], "Outlier-detection": [[4, "outlier-detection"], [8, "outlier-detection"], [98, "outlier-detection"]], "Quantile Predictions with Random Forest": [[4, "quantile-predictions-with-random-forest"], [11, "quantile-predictions-with-random-forest"], [98, "quantile-predictions-with-random-forest"]], "Comparing sklearn and treeple decision trees": [[4, "comparing-sklearn-and-treeple-decision-trees"], [18, "comparing-sklearn-and-treeple-decision-trees"], [98, "comparing-sklearn-and-treeple-decision-trees"]], "Sparse oblique projections with oblique decision-trees": [[4, "sparse-oblique-projections-with-oblique-decision-trees"], [21, "sparse-oblique-projections-with-oblique-decision-trees"], [98, "sparse-oblique-projections-with-oblique-decision-trees"]], "Decision-tree splitters": [[4, "decision-tree-splitters"], [28, "decision-tree-splitters"], [98, "decision-tree-splitters"]], "Treeple for Hypothesis Testing": [[4, "treeple-for-hypothesis-testing"], [33, "treeple-for-hypothesis-testing"], [98, "treeple-for-hypothesis-testing"]], "Analyze a multi-view dataset with a multi-view random forest": [[6, "analyze-a-multi-view-dataset-with-a-multi-view-random-forest"]], "Simulate data": [[6, "simulate-data"]], "Fit Random Forest and Multi-view Random Forest": [[6, "fit-random-forest-and-multi-view-random-forest"]], "Visualize scores and compare performance": [[6, "visualize-scores-and-compare-performance"]], "ExtendedIsolationForest example": [[9, "extendedisolationforest-example"]], "Data generation": [[9, "data-generation"]], "Training of the model": [[9, "training-of-the-model"]], "Plot discrete decision boundary": [[9, "plot-discrete-decision-boundary"]], "Plot path length decision boundary": [[9, "plot-path-length-decision-boundary"]], "Visualize the prediction of each tree within the forest": [[9, "visualize-the-prediction-of-each-tree-within-the-forest"]], "Predicting with different quantile interpolation methods": [[12, "predicting-with-different-quantile-interpolation-methods"]], "Generate the data": [[12, "generate-the-data"], [15, "generate-the-data"]], "The interpolation methods": [[12, "the-interpolation-methods"]], "Quantile prediction intervals with Random Forest Regressor": [[13, "quantile-prediction-intervals-with-random-forest-regressor"]], "Quantile Prediction Function": [[13, "quantile-prediction-function"]], "Plot the results": [[13, "plot-the-results"], [14, "plot-the-results"], [15, "plot-the-results"]], "Quantile prediction with Random Forest Regressor class": [[14, "quantile-prediction-with-random-forest-regressor-class"]], "Fit the model to the training samples": [[14, "fit-the-model-to-the-training-samples"]], "Quantile regression with oblique regression forest": [[15, "quantile-regression-with-oblique-regression-forest"]], "Generate Quantile Predictions": [[15, "generate-quantile-predictions"]], "Plot the decision surface of decision trees trained on the iris dataset": [[19, "plot-the-decision-surface-of-decision-trees-trained-on-the-iris-dataset"]], "Compare extra oblique forest and oblique random forest predictions on cc18 datasets": [[22, "compare-extra-oblique-forest-and-oblique-random-forest-predictions-on-cc18-datasets"]], "Discussion": [[22, "discussion"], [23, "discussion"], [29, "discussion"], [31, "discussion"]], "Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes": [[23, "speed-of-extra-oblique-random-forest-vs-oblique-random-forest-on-different-dataset-sizes"]], "Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation": [[24, "plot-oblique-forest-and-axis-aligned-random-forest-predictions-on-sparse-parity-simulation"]], "Compare the decision surfaces of oblique extra-trees with standard oblique trees": [[25, "compare-the-decision-surfaces-of-oblique-extra-trees-with-standard-oblique-trees"]], "Plot oblique forest and axis-aligned random forest predictions on cc18 datasets": [[26, "plot-oblique-forest-and-axis-aligned-random-forest-predictions-on-cc18-datasets"]], "Demonstrate and visualize a multi-view projection matrix for an axis-aligned tree": [[29, "demonstrate-and-visualize-a-multi-view-projection-matrix-for-an-axis-aligned-tree"]], "Initialize the multi-view splitter": [[29, "initialize-the-multi-view-splitter"]], "Sample the projection matrix": [[29, "sample-the-projection-matrix"]], "Sampling split candidates scaled to each feature-set dimensionality": [[29, "sampling-split-candidates-scaled-to-each-feature-set-dimensionality"]], "Plot the projection matrices of an oblique tree for sampling images, or time-series": [[30, "plot-the-projection-matrices-of-an-oblique-tree-for-sampling-images-or-time-series"]], "Initialize patch splitter": [[30, "initialize-patch-splitter"], [31, "initialize-patch-splitter"]], "Generate 1D patches": [[30, "generate-1d-patches"]], "Generate 2D patches": [[30, "generate-2d-patches"]], "Generate 3D patches": [[30, "generate-3d-patches"]], "Discontiguous Patches": [[30, "discontiguous-patches"]], "Plot the sparse projection matrices of an oblique tree": [[31, "plot-the-sparse-projection-matrices-of-an-oblique-tree"]], "Initialize the splitter": [[31, "initialize-the-splitter"]], "Generate projection matrix": [[31, "generate-projection-matrix"]], "Estimating true posteriors & statistics": [[35, "estimating-true-posteriors-statistics"]], "True posterior estimation": [[35, "true-posterior-estimation"]], "Generate gaussian mixture simulations": [[35, "generate-gaussian-mixture-simulations"]], "Calculate X priors with true pdfs": [[35, "calculate-x-priors-with-true-pdfs"]], "Calculate true posteriors": [[35, "calculate-true-posteriors"]], "Generate true statistic estimates: S@98": [[35, "generate-true-statistic-estimates-s-98"]], "Generate true statistic estimates: MI": [[35, "generate-true-statistic-estimates-mi"]], "Generate true statistic estimates: pAUC@90": [[35, 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"Oblique Trees": [[95, "oblique-trees"]], "Differences compared to decision trees": [[95, "differences-compared-to-decision-trees"]], "Mathematical formulation": [[95, "mathematical-formulation"]], "Classification, regression and multi-output problems": [[95, "classification-regression-and-multi-output-problems"]], "Complexity": [[95, "complexity"]], "Tips on practical use": [[95, "tips-on-practical-use"]], "Limitations compared to decision trees": [[95, "limitations-compared-to-decision-trees"]], "References:": [[95, null]], "Honest Trees": [[95, "honest-trees"]], "Unsupervised Decision Trees": [[96, "unsupervised-decision-trees"]], "Unsupervised Criterion": [[96, "unsupervised-criterion"]], "Two-Means": [[96, "two-means"]], "Fast-BIC": [[96, "fast-bic"]], "Evaluating Unsupervised Trees": [[96, "evaluating-unsupervised-trees"]], "Examples using treeple": [[98, "examples-using-treeple"]], "User Guide": [[99, "user-guide"]], "Release History": [[100, "release-history"]], "Version 0.1": 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   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>11:21.963</strong> total execution time for 25 files <strong>from all galleries</strong>:</p>
+<p><strong>10:48.596</strong> total execution time for 25 files <strong>from all galleries</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" />
@@ -455,104 +455,104 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_1_2_pvalue.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-2-pvalue-py"><span class="std std-ref">Calculating p-value (MIGHT)</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_1_2_pvalue.py</span></code>)</p></td>
-<td><p>02:56.944</p></td>
-<td><p>197.1</p></td>
+<td><p>02:51.252</p></td>
+<td><p>197.3</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_2_2_pvalue_multiview.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-2-pvalue-multiview-py"><span class="std std-ref">Calculating p-value with multiview data (CoMIGHT)</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_2_2_pvalue_multiview.py</span></code>)</p></td>
-<td><p>02:51.727</p></td>
-<td><p>197.1</p></td>
+<td><p>02:49.053</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/sparse_oblique_trees/plot_extra_orf_sample_size.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-extra-orf-sample-size-py"><span class="std std-ref">Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sparse_oblique_trees/plot_extra_orf_sample_size.py</span></code>)</p></td>
-<td><p>01:49.480</p></td>
-<td><p>408.2</p></td>
+<td><p>01:40.534</p></td>
+<td><p>414.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/multiview/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">../examples/multiview/plot_multiview_dtc.py</span></code>)</p></td>
-<td><p>00:39.864</p></td>
-<td><p>902.2</p></td>
+<td><p>00:33.638</p></td>
+<td><p>926.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/sparse_oblique_trees/plot_extra_oblique_random_forest.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-extra-oblique-random-forest-py"><span class="std std-ref">Compare extra oblique forest and oblique random forest predictions on cc18 datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sparse_oblique_trees/plot_extra_oblique_random_forest.py</span></code>)</p></td>
-<td><p>00:30.179</p></td>
-<td><p>341.5</p></td>
+<td><p>00:33.332</p></td>
+<td><p>355.8</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/sparse_oblique_trees/plot_oblique_random_forest.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-random-forest-py"><span class="std std-ref">Plot oblique forest and axis-aligned random forest predictions on cc18 datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sparse_oblique_trees/plot_oblique_random_forest.py</span></code>)</p></td>
-<td><p>00:27.941</p></td>
-<td><p>197.1</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/sparse_oblique_trees/plot_oblique_forests_iris.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-forests-iris-py"><span class="std std-ref">Compare the decision surfaces of oblique extra-trees with standard oblique trees</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sparse_oblique_trees/plot_oblique_forests_iris.py</span></code>)</p></td>
+<td><p>00:26.316</p></td>
+<td><p>2437.5</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/sparse_oblique_trees/plot_oblique_forests_iris.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-forests-iris-py"><span class="std std-ref">Compare the decision surfaces of oblique extra-trees with standard oblique trees</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sparse_oblique_trees/plot_oblique_forests_iris.py</span></code>)</p></td>
-<td><p>00:26.701</p></td>
-<td><p>2429.5</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/sparse_oblique_trees/plot_oblique_random_forest.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-random-forest-py"><span class="std std-ref">Plot oblique forest and axis-aligned random forest predictions on cc18 datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sparse_oblique_trees/plot_oblique_random_forest.py</span></code>)</p></td>
+<td><p>00:25.495</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/splitters/plot_projection_matrices.html#sphx-glr-auto-examples-splitters-plot-projection-matrices-py"><span class="std std-ref">Plot the projection matrices of an oblique tree for sampling images, or time-series</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/splitters/plot_projection_matrices.py</span></code>)</p></td>
-<td><p>00:09.054</p></td>
-<td><p>197.5</p></td>
+<td><p>00:08.009</p></td>
+<td><p>198.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/sparse_oblique_trees/plot_oblique_axis_aligned_forests_sparse_parity.html#sphx-glr-auto-examples-sparse-oblique-trees-plot-oblique-axis-aligned-forests-sparse-parity-py"><span class="std std-ref">Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sparse_oblique_trees/plot_oblique_axis_aligned_forests_sparse_parity.py</span></code>)</p></td>
-<td><p>00:08.668</p></td>
-<td><p>197.5</p></td>
+<td><p>00:07.925</p></td>
+<td><p>197.7</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/outlier_detection/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">../examples/outlier_detection/plot_extended_isolation_forest.py</span></code>)</p></td>
-<td><p>00:08.348</p></td>
-<td><p>206.7</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_2_1b_CMI.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-1b-cmi-py"><span class="std std-ref">Calculating CMI</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_2_1b_CMI.py</span></code>)</p></td>
+<td><p>00:07.551</p></td>
+<td><p>197.2</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_2_1b_CMI.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-1b-cmi-py"><span class="std std-ref">Calculating CMI</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_2_1b_CMI.py</span></code>)</p></td>
-<td><p>00:07.840</p></td>
-<td><p>197.1</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/outlier_detection/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">../examples/outlier_detection/plot_extended_isolation_forest.py</span></code>)</p></td>
+<td><p>00:07.219</p></td>
+<td><p>206.8</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/calibration/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">../examples/calibration/plot_overlapping_gaussians.py</span></code>)</p></td>
-<td><p>00:07.580</p></td>
-<td><p>245.1</p></td>
+<td><p>00:06.957</p></td>
+<td><p>245.2</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_0_GMM.html#sphx-glr-auto-examples-treeple-treeple-tutorial-0-gmm-py"><span class="std std-ref">Estimating true posteriors &amp; statistics</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_0_GMM.py</span></code>)</p></td>
-<td><p>00:06.326</p></td>
-<td><p>197.5</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_2_1a_SA98_multiview.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-1a-sa98-multiview-py"><span class="std std-ref">Calculating S&#64;98 with multiview data</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_2_1a_SA98_multiview.py</span></code>)</p></td>
+<td><p>00:05.843</p></td>
+<td><p>198.5</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_2_1a_SA98_multiview.html#sphx-glr-auto-examples-treeple-treeple-tutorial-2-1a-sa98-multiview-py"><span class="std std-ref">Calculating S&#64;98 with multiview data</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_2_1a_SA98_multiview.py</span></code>)</p></td>
-<td><p>00:06.082</p></td>
-<td><p>198.3</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_0_GMM.html#sphx-glr-auto-examples-treeple-treeple-tutorial-0-gmm-py"><span class="std std-ref">Estimating true posteriors &amp; statistics</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_0_GMM.py</span></code>)</p></td>
+<td><p>00:05.757</p></td>
+<td><p>197.8</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_1_1a_SA98.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1a-sa98-py"><span class="std std-ref">Calculating S&#64;98</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_1_1a_SA98.py</span></code>)</p></td>
-<td><p>00:05.790</p></td>
-<td><p>197.1</p></td>
+<td><p>00:05.426</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_1_1c_pAUC.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1c-pauc-py"><span class="std std-ref">Calculating pAUC</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_1_1c_pAUC.py</span></code>)</p></td>
-<td><p>00:05.775</p></td>
-<td><p>197.1</p></td>
+<td><p>00:05.349</p></td>
+<td><p>197.2</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_1_1b_MI.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1b-mi-py"><span class="std std-ref">Calculating MI</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_1_1b_MI.py</span></code>)</p></td>
-<td><p>00:05.452</p></td>
-<td><p>197.1</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_1_1d_HD.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1d-hd-py"><span class="std std-ref">Calculating Hellinger Distance</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_1_1d_HD.py</span></code>)</p></td>
+<td><p>00:04.827</p></td>
+<td><p>197.2</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_1_1d_HD.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1d-hd-py"><span class="std std-ref">Calculating Hellinger Distance</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_1_1d_HD.py</span></code>)</p></td>
-<td><p>00:05.275</p></td>
-<td><p>197.1</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/treeple/treeple_tutorial_1_1b_MI.html#sphx-glr-auto-examples-treeple-treeple-tutorial-1-1b-mi-py"><span class="std std-ref">Calculating MI</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/treeple/treeple_tutorial_1_1b_MI.py</span></code>)</p></td>
+<td><p>00:04.813</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/quantile_predictions/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">../examples/quantile_predictions/plot_quantile_regression_intervals_with_RF.py</span></code>)</p></td>
-<td><p>00:05.061</p></td>
-<td><p>197.1</p></td>
+<td><p>00:04.386</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/sklearn_vs_treeple/plot_iris_dtc.html#sphx-glr-auto-examples-sklearn-vs-treeple-plot-iris-dtc-py"><span class="std std-ref">Plot the decision surface of decision trees trained on the iris dataset</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/sklearn_vs_treeple/plot_iris_dtc.py</span></code>)</p></td>
-<td><p>00:04.368</p></td>
-<td><p>197.1</p></td>
+<td><p>00:03.698</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/splitters/plot_multiview_axis_aligned_splitter.html#sphx-glr-auto-examples-splitters-plot-multiview-axis-aligned-splitter-py"><span class="std std-ref">Demonstrate and visualize a multi-view projection matrix for an axis-aligned tree</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/splitters/plot_multiview_axis_aligned_splitter.py</span></code>)</p></td>
-<td><p>00:04.291</p></td>
-<td><p>197.1</p></td>
+<td><p>00:03.530</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/quantile_predictions/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">../examples/quantile_predictions/plot_quantile_toy_example_with_RF.py</span></code>)</p></td>
-<td><p>00:03.815</p></td>
-<td><p>300.8</p></td>
+<td><p>00:02.993</p></td>
+<td><p>299.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/splitters/plot_sparse_projection_matrix.html#sphx-glr-auto-examples-splitters-plot-sparse-projection-matrix-py"><span class="std std-ref">Plot the sparse projection matrices of an oblique tree</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/splitters/plot_sparse_projection_matrix.py</span></code>)</p></td>
-<td><p>00:02.951</p></td>
-<td><p>197.1</p></td>
+<td><p>00:02.694</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/quantile_predictions/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">../examples/quantile_predictions/plot_quantile_vs_standard_oblique_forest.py</span></code>)</p></td>
-<td><p>00:01.528</p></td>
-<td><p>197.1</p></td>
+<td><p>00:01.281</p></td>
+<td><p>197.2</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/quantile_predictions/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">../examples/quantile_predictions/plot_quantile_interpolation_with_RF.py</span></code>)</p></td>
-<td><p>00:00.923</p></td>
-<td><p>197.1</p></td>
+<td><p>00:00.719</p></td>
+<td><p>197.2</p></td>
 </tr>
 </tbody>
 </table>
@@ -598,7 +598,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/use.html b/dev/use.html
index f1d08f413..d78eb9f15 100644
--- a/dev/use.html
+++ b/dev/use.html
@@ -709,7 +709,7 @@ <h2>Treeple for Hypothesis Testing<a class="headerlink" href="#treeple-for-hypot
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/user_guide.html b/dev/user_guide.html
index bc94925ea..5489b5b3a 100644
--- a/dev/user_guide.html
+++ b/dev/user_guide.html
@@ -536,7 +536,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new.html b/dev/whats_new.html
index 7fa7bf25f..7254b7c6b 100644
--- a/dev/whats_new.html
+++ b/dev/whats_new.html
@@ -527,7 +527,7 @@ <h1>Release History<a class="headerlink" href="#release-history" title="Link to
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/_contributors.html b/dev/whats_new/_contributors.html
index 3defc97e6..362ca83a4 100644
--- a/dev/whats_new/_contributors.html
+++ b/dev/whats_new/_contributors.html
@@ -489,7 +489,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.1.html b/dev/whats_new/v0.1.html
index c8ab02073..3a6bc46ff 100644
--- a/dev/whats_new/v0.1.html
+++ b/dev/whats_new/v0.1.html
@@ -563,7 +563,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.2.html b/dev/whats_new/v0.2.html
index 9320a9e93..7b74a27cd 100644
--- a/dev/whats_new/v0.2.html
+++ b/dev/whats_new/v0.2.html
@@ -564,7 +564,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.3.html b/dev/whats_new/v0.3.html
index 3fe1a7a71..2ea723a1b 100644
--- a/dev/whats_new/v0.3.html
+++ b/dev/whats_new/v0.3.html
@@ -559,7 +559,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.4.html b/dev/whats_new/v0.4.html
index 6324a0488..25a4d56a7 100644
--- a/dev/whats_new/v0.4.html
+++ b/dev/whats_new/v0.4.html
@@ -561,7 +561,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.5.html b/dev/whats_new/v0.5.html
index f230aee31..bab58dc14 100644
--- a/dev/whats_new/v0.5.html
+++ b/dev/whats_new/v0.5.html
@@ -563,7 +563,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.6.html b/dev/whats_new/v0.6.html
index 1aec32acc..f2eae0518 100644
--- a/dev/whats_new/v0.6.html
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.7.html b/dev/whats_new/v0.7.html
index d8c0f1ebc..2be664550 100644
--- a/dev/whats_new/v0.7.html
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.8.html b/dev/whats_new/v0.8.html
index 5d82c86a2..b008ad604 100644
--- a/dev/whats_new/v0.8.html
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@@ -583,7 +583,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>
diff --git a/dev/whats_new/v0.9.html b/dev/whats_new/v0.9.html
index 0b0a19ff0..4ec38ab4c 100644
--- a/dev/whats_new/v0.9.html
+++ b/dev/whats_new/v0.9.html
@@ -522,7 +522,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-23.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-26.
       <br/>
     
   </p>