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         <div class="footer-item">
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/_lib/sklearn/ensemble/_forest.html b/dev/_modules/treeple/_lib/sklearn/ensemble/_forest.html
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/datasets/hyppo.html b/dev/_modules/treeple/datasets/hyppo.html
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/datasets/multiview.html b/dev/_modules/treeple/datasets/multiview.html
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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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/ensemble/_eiforest.html b/dev/_modules/treeple/ensemble/_eiforest.html
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--- a/dev/_modules/treeple/ensemble/_eiforest.html
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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 2024-07-15.
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diff --git a/dev/_modules/treeple/ensemble/_honest_forest.html b/dev/_modules/treeple/ensemble/_honest_forest.html
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--- a/dev/_modules/treeple/ensemble/_honest_forest.html
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@@ -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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/ensemble/_multiview.html b/dev/_modules/treeple/ensemble/_multiview.html
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--- a/dev/_modules/treeple/ensemble/_multiview.html
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@@ -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 2024-07-15.
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diff --git a/dev/_modules/treeple/ensemble/_supervised_forest.html b/dev/_modules/treeple/ensemble/_supervised_forest.html
index 6675a3d97..9b399bac4 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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/ensemble/_unsupervised_forest.html b/dev/_modules/treeple/ensemble/_unsupervised_forest.html
index c3d79c65b..f908b09e9 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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/experimental/monte_carlo.html b/dev/_modules/treeple/experimental/monte_carlo.html
index bb0b890b1..fd935786e 100644
--- a/dev/_modules/treeple/experimental/monte_carlo.html
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@@ -696,7 +696,7 @@ <h1>Source code for treeple.experimental.monte_carlo</h1><div class="highlight">
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/experimental/mutual_info.html b/dev/_modules/treeple/experimental/mutual_info.html
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@@ -933,7 +933,7 @@ <h1>Source code for treeple.experimental.mutual_info</h1><div class="highlight">
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/experimental/simulate.html b/dev/_modules/treeple/experimental/simulate.html
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/neighbors.html b/dev/_modules/treeple/neighbors.html
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@@ -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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/_modules/treeple/stats/forestht.html b/dev/_modules/treeple/stats/forestht.html
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--- a/dev/_modules/treeple/stats/forestht.html
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/stats/permuteforest.html b/dev/_modules/treeple/stats/permuteforest.html
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/tree/_classes.html b/dev/_modules/treeple/tree/_classes.html
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@@ -3737,7 +3737,7 @@ <h1>Source code for treeple.tree._classes</h1><div class="highlight"><pre>
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/tree/_honest_tree.html b/dev/_modules/treeple/tree/_honest_tree.html
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/tree/_multiview.html b/dev/_modules/treeple/tree/_multiview.html
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/_modules/treeple/tree/_neighbors.html b/dev/_modules/treeple/tree/_neighbors.html
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/api.html b/dev/api.html
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@@ -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 2024-07-15.
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diff --git a/dev/auto_examples/calibration/index.html b/dev/auto_examples/calibration/index.html
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/auto_examples/calibration/plot_overlapping_gaussians.html b/dev/auto_examples/calibration/plot_overlapping_gaussians.html
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+++ b/dev/auto_examples/calibration/plot_overlapping_gaussians.html
@@ -690,8 +690,8 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
 <span class="c1"># curve, compared to RF which is shown below.</span>
 </pre></div>
 </div>
-<img src="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" srcset="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" alt="plot overlapping gaussians" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.533 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  59 MB</p>
+<img src="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" srcset="../../_images/sphx_glr_plot_overlapping_gaussians_001.png" alt="plot overlapping gaussians" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.220 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  58 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-calibration-plot-overlapping-gaussians-py">
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@@ -433,7 +433,7 @@
                   
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 <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>00:07.533</strong> total execution time for 1 file <strong>from auto_examples/calibration</strong>:</p>
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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>
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@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/index.html b/dev/auto_examples/index.html
index bd142b318..1dd41b87f 100644
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@@ -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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/auto_examples/multiview/index.html b/dev/auto_examples/multiview/index.html
index 79906d256..fe3479ccb 100644
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@@ -562,7 +562,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/multiview/plot_multiview_dtc.html b/dev/auto_examples/multiview/plot_multiview_dtc.html
index 9193c0324..6be4049af 100644
--- a/dev/auto_examples/multiview/plot_multiview_dtc.html
+++ b/dev/auto_examples/multiview/plot_multiview_dtc.html
@@ -679,7 +679,7 @@ <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
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 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 38.007 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 35.651 seconds)</p>
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 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -766,7 +766,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/multiview/sg_execution_times.html b/dev/auto_examples/multiview/sg_execution_times.html
index 54a44cad6..3a73ed8b7 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>00:38.007</strong> total execution time for 1 file <strong>from auto_examples/multiview</strong>:</p>
+<p><strong>00:35.651</strong> total execution time for 1 file <strong>from auto_examples/multiview</strong>:</p>
 <div class="docutils container">
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@@ -455,8 +455,8 @@
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 <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>00:38.007</p></td>
-<td><p>738.4</p></td>
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@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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   </p>
diff --git a/dev/auto_examples/outlier_detection/index.html b/dev/auto_examples/outlier_detection/index.html
index e37410b40..84544baf9 100644
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+++ 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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 8b62ceae4..b4b9b51a9 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>
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 <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=1.099, Var=0.01 Anomaly: Mean=0.79, 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=1.079, Var=0.016 Anomaly: Mean=0.841, Var=0.046" 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=1.094, Var=0.011 Anomaly: Mean=0.79, Var=0.057" 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=1.078, Var=0.015 Anomaly: Mean=0.848, Var=0.047" class = "sphx-glr-multi-img"/></li>
 </ul>
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 <section id="references">
@@ -1554,7 +1554,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
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-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.548 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.574 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  19 MB</p>
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@@ -1644,7 +1644,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 788db44c6..985c3707d 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>00:07.548</strong> total execution time for 1 file <strong>from auto_examples/outlier_detection</strong>:</p>
+<p><strong>00:07.574</strong> total execution time for 1 file <strong>from auto_examples/outlier_detection</strong>:</p>
 <div class="docutils container">
 <style scoped>
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@@ -455,7 +455,7 @@
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 <tr class="row-even"><td><p><a class="reference internal" href="plot_extended_isolation_forest.html#sphx-glr-auto-examples-outlier-detection-plot-extended-isolation-forest-py"><span class="std std-ref">ExtendedIsolationForest example</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_extended_isolation_forest.py</span></code>)</p></td>
-<td><p>00:07.548</p></td>
+<td><p>00:07.574</p></td>
 <td><p>18.6</p></td>
 </tr>
 </tbody>
@@ -502,7 +502,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/quantile_predictions/index.html b/dev/auto_examples/quantile_predictions/index.html
index a41dfc69f..0c9151a94 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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 a9980f62b..e07a1539c 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
@@ -700,7 +700,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 ca35aa382..bcde03ce6 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 4.529 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 4.449 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 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">
@@ -780,7 +780,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 fb3d29f6a..c7f5b553e 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 3.127 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  110 MB</p>
+<img src="../../_images/sphx_glr_plot_quantile_toy_example_with_RF_001.png" srcset="../../_images/sphx_glr_plot_quantile_toy_example_with_RF_001.png" alt="plot quantile toy example with RF" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.102 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  112 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>
@@ -691,7 +691,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 fc030accf..56563080a 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 1.278 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 1.307 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 MB</p>
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@@ -683,7 +683,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 7c5d098d6..1b5f9a198 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>00:09.714</strong> total execution time for 4 files <strong>from auto_examples/quantile_predictions</strong>:</p>
+<p><strong>00:09.717</strong> total execution time for 4 files <strong>from auto_examples/quantile_predictions</strong>:</p>
 <div class="docutils container">
 <style scoped>
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@@ -455,19 +455,19 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_quantile_regression_intervals_with_RF.html#sphx-glr-auto-examples-quantile-predictions-plot-quantile-regression-intervals-with-rf-py"><span class="std std-ref">Quantile prediction intervals with Random Forest Regressor</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_quantile_regression_intervals_with_RF.py</span></code>)</p></td>
-<td><p>00:04.529</p></td>
-<td><p>9.0</p></td>
+<td><p>00:04.449</p></td>
+<td><p>9.1</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>00:03.127</p></td>
-<td><p>109.6</p></td>
+<td><p>00:03.102</p></td>
+<td><p>111.8</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>00:01.278</p></td>
-<td><p>9.0</p></td>
+<td><p>00:01.307</p></td>
+<td><p>9.1</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>
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sg_execution_times.html b/dev/auto_examples/sg_execution_times.html
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/auto_examples/sklearn_vs_treeple/plot_iris_dtc.html b/dev/auto_examples/sklearn_vs_treeple/plot_iris_dtc.html
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 <li><img src="../../_images/sphx_glr_plot_iris_dtc_003.png" srcset="../../_images/sphx_glr_plot_iris_dtc_003.png" alt="Axis-aligned decision tree trained on all the iris features" class = "sphx-glr-multi-img"/></li>
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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
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+++ b/dev/auto_examples/sklearn_vs_treeple/sg_execution_times.html
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   <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>
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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
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+++ 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
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-                             ORF      1.194356
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-                             ORF      1.270430
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-                             ORF      2.027793
-lsvt             (100, 310)  EORF     1.001464
-                             ORF      1.093017
-wdbc             (455, 30)   EORF     0.935178
-                             ORF      0.971952
+PhishingWebsites (2000, 30)  EORF     1.101872
+                             ORF      1.101684
+cnae-9           (864, 856)  EORF     1.270376
+                             ORF      1.218562
+har              (2000, 561) EORF     1.376758
+                             ORF      2.267505
+lsvt             (100, 310)  EORF     0.930091
+                             ORF      1.010960
+wdbc             (455, 30)   EORF     0.918188
+                             ORF      0.933387
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 dc7b089ec..a9ac982c0 100644
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+++ 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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+<p><strong>Estimated memory usage:</strong>  202 MB</p>
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@@ -755,7 +755,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 360901c9f..f8937896e 100644
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+<p><strong>Estimated memory usage:</strong>  9 MB</p>
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@@ -674,7 +674,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
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@@ -734,7 +734,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
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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 <img src="../../_images/sphx_glr_plot_oblique_random_forest_001.png" srcset="../../_images/sphx_glr_plot_oblique_random_forest_001.png" alt="PhishingWebsites, wdbc, cnae-9" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Loading [PhishingWebsites] dataset..
 Loading [wdbc] dataset..
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@@ -706,7 +706,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/sparse_oblique_trees/sg_execution_times.html b/dev/auto_examples/sparse_oblique_trees/sg_execution_times.html
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@@ -433,7 +433,7 @@
                   
   <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>
-<p><strong>03:04.663</strong> total execution time for 5 files <strong>from auto_examples/sparse_oblique_trees</strong>:</p>
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 <tbody>
 <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>
-<td><p>01:38.181</p></td>
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-<td><p>00:29.202</p></td>
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-<td><p>00:26.020</p></td>
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 <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>00:23.465</p></td>
+<td><p>00:21.978</p></td>
 <td><p>9.0</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>
-<td><p>00:07.794</p></td>
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 <td><p>9.5</p></td>
 </tr>
 </tbody>
@@ -518,7 +518,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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
index f518db226..7de547944 100644
--- a/dev/auto_examples/splitters/plot_multiview_axis_aligned_splitter.html
+++ 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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.765 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.606 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-splitters-plot-multiview-axis-aligned-splitter-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
@@ -802,7 +802,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/splitters/plot_projection_matrices.html b/dev/auto_examples/splitters/plot_projection_matrices.html
index be53cfb8b..bf7b80740 100644
--- a/dev/auto_examples/splitters/plot_projection_matrices.html
+++ b/dev/auto_examples/splitters/plot_projection_matrices.html
@@ -831,8 +831,8 @@ <h2>Discontiguous Patches<a class="headerlink" href="#discontiguous-patches" tit
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-<p><strong>Estimated memory usage:</strong>  9 MB</p>
+<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 8.029 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  10 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-splitters-plot-projection-matrices-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/037e9331312d1f2777ba9609e50ea06f/plot_projection_matrices.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_projection_matrices.ipynb</span></code></a></p>
@@ -920,7 +920,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 88211ec5d..2892d25f2 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 2.869 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.778 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 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">
@@ -725,7 +725,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/splitters/sg_execution_times.html b/dev/auto_examples/splitters/sg_execution_times.html
index f692531cd..a58cc520a 100644
--- a/dev/auto_examples/splitters/sg_execution_times.html
+++ b/dev/auto_examples/splitters/sg_execution_times.html
@@ -433,7 +433,7 @@
                   
   <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>00:14.941</strong> total execution time for 3 files <strong>from auto_examples/splitters</strong>:</p>
+<p><strong>00:14.413</strong> total execution time for 3 files <strong>from auto_examples/splitters</strong>:</p>
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@@ -455,15 +455,15 @@
 </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>00:08.307</p></td>
-<td><p>9.4</p></td>
+<td><p>00:08.029</p></td>
+<td><p>9.8</p></td>
 </tr>
 <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>00:03.765</p></td>
+<td><p>00:03.606</p></td>
 <td><p>9.0</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>00:02.869</p></td>
+<td><p>00:02.778</p></td>
 <td><p>9.0</p></td>
 </tr>
 </tbody>
@@ -510,7 +510,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/index.html b/dev/auto_examples/treeple/index.html
index 2879c2f59..e1b89e74d 100644
--- a/dev/auto_examples/treeple/index.html
+++ b/dev/auto_examples/treeple/index.html
@@ -588,7 +588,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/auto_examples/treeple/sg_execution_times.html b/dev/auto_examples/treeple/sg_execution_times.html
index 43d1fd5e0..f62ecc739 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>06:26.640</strong> total execution time for 9 files <strong>from auto_examples/treeple</strong>:</p>
+<p><strong>06:43.462</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" />
@@ -455,39 +455,39 @@
 </thead>
 <tbody>
 <tr class="row-even"><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>02:54.922</p></td>
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 <td><p>9.0</p></td>
 </tr>
 <tr class="row-odd"><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>02:50.232</p></td>
-<td><p>9.1</p></td>
+<td><p>03:00.731</p></td>
+<td><p>9.0</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>00:08.512</p></td>
+<td><p>00:07.655</p></td>
 <td><p>9.0</p></td>
 </tr>
 <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>00:06.506</p></td>
-<td><p>10.3</p></td>
+<td><p>00:05.972</p></td>
+<td><p>10.1</p></td>
 </tr>
 <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>00:05.930</p></td>
-<td><p>9.5</p></td>
+<td><p>00:05.904</p></td>
+<td><p>9.4</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>00:05.410</p></td>
+<tr class="row-odd"><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>00:05.699</p></td>
 <td><p>9.0</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>00:05.405</p></td>
+<tr class="row-even"><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>00:05.472</p></td>
 <td><p>9.0</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>00:04.870</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>00:05.001</p></td>
 <td><p>9.0</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>00:04.853</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>00:04.910</p></td>
 <td><p>9.0</p></td>
 </tr>
 </tbody>
@@ -534,7 +534,7 @@
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 150b8dbc2..72a56e00b 100644
--- a/dev/auto_examples/treeple/treeple_tutorial_0_GMM.html
+++ b/dev/auto_examples/treeple/treeple_tutorial_0_GMM.html
@@ -714,8 +714,8 @@ <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
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-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.930 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  10 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.904 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  9 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">
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 <p><a class="reference download internal" download="" href="../../_downloads/1498fe1845b7b7f556a5358e8d9c2313/treeple_tutorial_0_GMM.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">treeple_tutorial_0_GMM.ipynb</span></code></a></p>
@@ -805,7 +805,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 a7ae525f2..db102621e 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 5.410 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.472 seconds)</p>
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 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-treeple-treeple-tutorial-1-1a-sa98-py">
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@@ -735,7 +735,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 c33c7d452..1d65c05ee 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 4.870 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.910 seconds)</p>
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 <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">
@@ -705,7 +705,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 c730a2977..1ab9eb347 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 5.405 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.699 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 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">
@@ -735,7 +735,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 90909d99f..c25c74f62 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 4.853 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.001 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 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">
@@ -698,7 +698,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 02e9378cb..1266ad3c1 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 50.232 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (3 minutes 0.731 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 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">
@@ -725,7 +725,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 df49fb084..d2ffb2150 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 6.506 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 5.972 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  10 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">
@@ -754,7 +754,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 d102d37cc..1dee45b73 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 8.512 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.655 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 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">
@@ -759,7 +759,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <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 ec98dcb5b..335b486af 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 54.922 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (3 minutes 2.119 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 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">
@@ -763,7 +763,7 @@ <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 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.ExtendedIsolationForest.html b/dev/generated/treeple.ExtendedIsolationForest.html
index 957d61094..0c70c9735 100644
--- a/dev/generated/treeple.ExtendedIsolationForest.html
+++ b/dev/generated/treeple.ExtendedIsolationForest.html
@@ -1060,7 +1060,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.ExtraTreesClassifier.html b/dev/generated/treeple.ExtraTreesClassifier.html
index 7f97ce87e..dd072a51c 100644
--- a/dev/generated/treeple.ExtraTreesClassifier.html
+++ b/dev/generated/treeple.ExtraTreesClassifier.html
@@ -1456,7 +1456,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.ExtraTreesRegressor.html b/dev/generated/treeple.ExtraTreesRegressor.html
index a3889dd4a..c9023e6d4 100644
--- a/dev/generated/treeple.ExtraTreesRegressor.html
+++ b/dev/generated/treeple.ExtraTreesRegressor.html
@@ -1308,7 +1308,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.HonestForestClassifier.html b/dev/generated/treeple.HonestForestClassifier.html
index 487737209..38263cd9f 100644
--- a/dev/generated/treeple.HonestForestClassifier.html
+++ b/dev/generated/treeple.HonestForestClassifier.html
@@ -1500,7 +1500,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.MultiViewRandomForestClassifier.html b/dev/generated/treeple.MultiViewRandomForestClassifier.html
index 190a4500d..ce437f2ee 100644
--- a/dev/generated/treeple.MultiViewRandomForestClassifier.html
+++ b/dev/generated/treeple.MultiViewRandomForestClassifier.html
@@ -1431,7 +1431,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.NearestNeighborsMetaEstimator.html b/dev/generated/treeple.NearestNeighborsMetaEstimator.html
index bd982829a..cb24e41ce 100644
--- a/dev/generated/treeple.NearestNeighborsMetaEstimator.html
+++ b/dev/generated/treeple.NearestNeighborsMetaEstimator.html
@@ -823,7 +823,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.ObliqueRandomForestClassifier.html b/dev/generated/treeple.ObliqueRandomForestClassifier.html
index 7563eead4..3d2dcf874 100644
--- a/dev/generated/treeple.ObliqueRandomForestClassifier.html
+++ b/dev/generated/treeple.ObliqueRandomForestClassifier.html
@@ -1460,7 +1460,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.ObliqueRandomForestRegressor.html b/dev/generated/treeple.ObliqueRandomForestRegressor.html
index e564feac3..cdb0878f7 100644
--- a/dev/generated/treeple.ObliqueRandomForestRegressor.html
+++ b/dev/generated/treeple.ObliqueRandomForestRegressor.html
@@ -1285,7 +1285,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.PatchObliqueRandomForestClassifier.html b/dev/generated/treeple.PatchObliqueRandomForestClassifier.html
index c788c89a2..202db5793 100644
--- a/dev/generated/treeple.PatchObliqueRandomForestClassifier.html
+++ b/dev/generated/treeple.PatchObliqueRandomForestClassifier.html
@@ -1453,7 +1453,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.PatchObliqueRandomForestRegressor.html b/dev/generated/treeple.PatchObliqueRandomForestRegressor.html
index 09555d18d..7974064bd 100644
--- a/dev/generated/treeple.PatchObliqueRandomForestRegressor.html
+++ b/dev/generated/treeple.PatchObliqueRandomForestRegressor.html
@@ -1282,7 +1282,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.RandomForestClassifier.html b/dev/generated/treeple.RandomForestClassifier.html
index 6bc486eb8..ec2591e17 100644
--- a/dev/generated/treeple.RandomForestClassifier.html
+++ b/dev/generated/treeple.RandomForestClassifier.html
@@ -1467,7 +1467,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.RandomForestRegressor.html b/dev/generated/treeple.RandomForestRegressor.html
index 3cccee905..1d2f80fc1 100644
--- a/dev/generated/treeple.RandomForestRegressor.html
+++ b/dev/generated/treeple.RandomForestRegressor.html
@@ -1328,7 +1328,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.UnsupervisedObliqueRandomForest.html b/dev/generated/treeple.UnsupervisedObliqueRandomForest.html
index 41a3d56e7..85c7b58ca 100644
--- a/dev/generated/treeple.UnsupervisedObliqueRandomForest.html
+++ b/dev/generated/treeple.UnsupervisedObliqueRandomForest.html
@@ -1240,7 +1240,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.UnsupervisedRandomForest.html b/dev/generated/treeple.UnsupervisedRandomForest.html
index 77d1b28c7..e0ea38ec9 100644
--- a/dev/generated/treeple.UnsupervisedRandomForest.html
+++ b/dev/generated/treeple.UnsupervisedRandomForest.html
@@ -1248,7 +1248,7 @@ <h1><a class="reference internal" href="../api.html#module-treeple" title="treep
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.datasets.approximate_clf_mutual_information.html b/dev/generated/treeple.datasets.approximate_clf_mutual_information.html
index 9fe80a6b0..843781077 100644
--- a/dev/generated/treeple.datasets.approximate_clf_mutual_information.html
+++ b/dev/generated/treeple.datasets.approximate_clf_mutual_information.html
@@ -634,7 +634,7 @@ <h1>treeple.datasets.approximate_clf_mutual_information<a class="headerlink" hre
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
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 f05cfe15c..63a6cde16 100644
--- 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
@@ -634,7 +634,7 @@ <h1>treeple.datasets.approximate_clf_mutual_information_with_monte_carlo<a class
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.datasets.make_gaussian_mixture.html b/dev/generated/treeple.datasets.make_gaussian_mixture.html
index f9359b584..dd650d557 100644
--- a/dev/generated/treeple.datasets.make_gaussian_mixture.html
+++ b/dev/generated/treeple.datasets.make_gaussian_mixture.html
@@ -680,7 +680,7 @@ <h1>treeple.datasets.make_gaussian_mixture<a class="headerlink" href="#treeple-d
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.datasets.make_joint_factor_model.html b/dev/generated/treeple.datasets.make_joint_factor_model.html
index 0638e9daa..eb40120d4 100644
--- a/dev/generated/treeple.datasets.make_joint_factor_model.html
+++ b/dev/generated/treeple.datasets.make_joint_factor_model.html
@@ -676,7 +676,7 @@ <h1>treeple.datasets.make_joint_factor_model<a class="headerlink" href="#treeple
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.datasets.make_marron_wand_classification.html b/dev/generated/treeple.datasets.make_marron_wand_classification.html
index c34c70ea1..49ac59d09 100644
--- a/dev/generated/treeple.datasets.make_marron_wand_classification.html
+++ b/dev/generated/treeple.datasets.make_marron_wand_classification.html
@@ -693,7 +693,7 @@ <h1>treeple.datasets.make_marron_wand_classification<a class="headerlink" href="
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/generated/treeple.datasets.make_quadratic_classification.html b/dev/generated/treeple.datasets.make_quadratic_classification.html
index 51c711462..7a84f1392 100644
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index 449bc130d..2289eaa47 100644
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+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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index 323fb90ac..b5572c56c 100644
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index bd7a14110..9da81654d 100644
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index fdc0d33c9..09b49cd36 100644
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index 67ad2df3e..f940c5a9c 100644
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index 49edbf727..3c92c7c9a 100644
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index c2e0d11cb..6aeda41b5 100644
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index ac8ddc2f6..818f7eefb 100644
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         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/py-modindex.html b/dev/py-modindex.html
index 21c2b547a..f0332f189 100644
--- a/dev/py-modindex.html
+++ b/dev/py-modindex.html
@@ -470,7 +470,7 @@ <h1>Python Module Index</h1>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/search.html b/dev/search.html
index 12e03bac0..72443264a 100644
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+++ b/dev/search.html
@@ -474,7 +474,7 @@ <h1>Search</h1>
         <div class="footer-item">
   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
       <br/>
     
   </p>
diff --git a/dev/searchindex.js b/dev/searchindex.js
index 551f7f2a6..2d3778adb 100644
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"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 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"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, "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 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"compute_similarity_matrix() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.compute_similarity_matrix"]], "decision_path() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.decision_path"]], "estimators_samples_ (treeple.multiviewrandomforestclassifier property)": [[48, "treeple.MultiViewRandomForestClassifier.estimators_samples_"]], "feature_importances_ (treeple.multiviewrandomforestclassifier property)": [[48, "treeple.MultiViewRandomForestClassifier.feature_importances_"]], "fit() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.fit"]], "get_leaf_node_samples() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.get_leaf_node_samples"]], "get_metadata_routing() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.get_metadata_routing"]], 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\ No newline at end of file
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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 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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", 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"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, 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"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, 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(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)": [[48, "treeple.MultiViewRandomForestClassifier.apply"]], "compute_similarity_matrix() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.compute_similarity_matrix"]], "decision_path() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.decision_path"]], "estimators_samples_ (treeple.multiviewrandomforestclassifier property)": [[48, "treeple.MultiViewRandomForestClassifier.estimators_samples_"]], "feature_importances_ (treeple.multiviewrandomforestclassifier property)": [[48, "treeple.MultiViewRandomForestClassifier.feature_importances_"]], "fit() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.fit"]], "get_leaf_node_samples() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.get_leaf_node_samples"]], "get_metadata_routing() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.get_metadata_routing"]], "get_params() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.get_params"]], "oob_samples_ (treeple.multiviewrandomforestclassifier property)": [[48, "treeple.MultiViewRandomForestClassifier.oob_samples_"]], "partial_fit() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.partial_fit"]], "predict() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.predict"]], "predict_log_proba() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.predict_log_proba"]], "predict_proba() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.predict_proba"]], "predict_proba_per_tree() (treeple.multiviewrandomforestclassifier method)": [[48, "treeple.MultiViewRandomForestClassifier.predict_proba_per_tree"]], "predict_quantiles() (treeple.multiviewrandomforestclassifier 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(treeple.nearestneighborsmetaestimator method)": [[49, "treeple.NearestNeighborsMetaEstimator.get_metadata_routing"]], "get_params() (treeple.nearestneighborsmetaestimator method)": [[49, "treeple.NearestNeighborsMetaEstimator.get_params"]], "kneighbors() (treeple.nearestneighborsmetaestimator method)": [[49, "treeple.NearestNeighborsMetaEstimator.kneighbors"]], "radius_neighbors() (treeple.nearestneighborsmetaestimator method)": [[49, "treeple.NearestNeighborsMetaEstimator.radius_neighbors"]], "set_params() (treeple.nearestneighborsmetaestimator method)": [[49, "treeple.NearestNeighborsMetaEstimator.set_params"]], "obliquerandomforestclassifier (class in treeple)": [[50, "treeple.ObliqueRandomForestClassifier"]], "apply() (treeple.obliquerandomforestclassifier method)": [[50, "treeple.ObliqueRandomForestClassifier.apply"]], "compute_similarity_matrix() (treeple.obliquerandomforestclassifier method)": [[50, "treeple.ObliqueRandomForestClassifier.compute_similarity_matrix"]], "decision_path() (treeple.obliquerandomforestclassifier method)": [[50, "treeple.ObliqueRandomForestClassifier.decision_path"]], "estimators_samples_ (treeple.obliquerandomforestclassifier property)": [[50, "treeple.ObliqueRandomForestClassifier.estimators_samples_"]], "feature_importances_ (treeple.obliquerandomforestclassifier property)": [[50, "treeple.ObliqueRandomForestClassifier.feature_importances_"]], "fit() (treeple.obliquerandomforestclassifier method)": [[50, "treeple.ObliqueRandomForestClassifier.fit"]], "get_leaf_node_samples() (treeple.obliquerandomforestclassifier method)": [[50, "treeple.ObliqueRandomForestClassifier.get_leaf_node_samples"]], "get_metadata_routing() (treeple.obliquerandomforestclassifier method)": [[50, "treeple.ObliqueRandomForestClassifier.get_metadata_routing"]], "get_params() (treeple.obliquerandomforestclassifier method)": [[50, "treeple.ObliqueRandomForestClassifier.get_params"]], "oob_samples_ (treeple.obliquerandomforestclassifier property)": 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(treeple.tree.patchobliquedecisiontreeclassifier method)": [[87, "treeple.tree.PatchObliqueDecisionTreeClassifier.score"]], "set_fit_request() (treeple.tree.patchobliquedecisiontreeclassifier method)": [[87, "treeple.tree.PatchObliqueDecisionTreeClassifier.set_fit_request"]], "set_params() (treeple.tree.patchobliquedecisiontreeclassifier method)": [[87, "treeple.tree.PatchObliqueDecisionTreeClassifier.set_params"]], "set_partial_fit_request() (treeple.tree.patchobliquedecisiontreeclassifier method)": [[87, "treeple.tree.PatchObliqueDecisionTreeClassifier.set_partial_fit_request"]], "set_predict_proba_request() (treeple.tree.patchobliquedecisiontreeclassifier method)": [[87, "treeple.tree.PatchObliqueDecisionTreeClassifier.set_predict_proba_request"]], "set_predict_request() (treeple.tree.patchobliquedecisiontreeclassifier method)": [[87, "treeple.tree.PatchObliqueDecisionTreeClassifier.set_predict_request"]], "set_score_request() (treeple.tree.patchobliquedecisiontreeclassifier method)": [[87, "treeple.tree.PatchObliqueDecisionTreeClassifier.set_score_request"]], "patchobliquedecisiontreeregressor (class in treeple.tree)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor"]], "apply() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.apply"]], "compute_similarity_matrix() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.compute_similarity_matrix"]], "cost_complexity_pruning_path() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.cost_complexity_pruning_path"]], "decision_path() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.decision_path"]], "feature_importances_ (treeple.tree.patchobliquedecisiontreeregressor property)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.feature_importances_"]], "fit() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.fit"]], "get_depth() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.get_depth"]], "get_leaf_node_samples() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.get_leaf_node_samples"]], "get_metadata_routing() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.get_metadata_routing"]], "get_n_leaves() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.get_n_leaves"]], "get_params() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.get_params"]], "predict() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.predict"]], "predict_quantiles() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.predict_quantiles"]], "score() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.score"]], "set_fit_request() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.set_fit_request"]], "set_params() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.set_params"]], "set_predict_request() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.set_predict_request"]], "set_score_request() (treeple.tree.patchobliquedecisiontreeregressor method)": [[88, "treeple.tree.PatchObliqueDecisionTreeRegressor.set_score_request"]], "unsuperviseddecisiontree (class in treeple.tree)": [[89, "treeple.tree.UnsupervisedDecisionTree"]], "apply() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.apply"]], "compute_similarity_matrix() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.compute_similarity_matrix"]], "cost_complexity_pruning_path() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.cost_complexity_pruning_path"]], "decision_path() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.decision_path"]], "feature_importances_ (treeple.tree.unsuperviseddecisiontree property)": [[89, "treeple.tree.UnsupervisedDecisionTree.feature_importances_"]], "fit_predict() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.fit_predict"]], "fit_transform() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.fit_transform"]], "get_depth() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.get_depth"]], "get_leaf_node_samples() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.get_leaf_node_samples"]], "get_metadata_routing() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.get_metadata_routing"]], "get_n_leaves() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.get_n_leaves"]], "get_params() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.get_params"]], "predict() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.predict"]], "predict_quantiles() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.predict_quantiles"]], "set_fit_request() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.set_fit_request"]], "set_output() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.set_output"]], "set_params() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.set_params"]], "set_predict_request() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.set_predict_request"]], "transform() (treeple.tree.unsuperviseddecisiontree method)": [[89, "treeple.tree.UnsupervisedDecisionTree.transform"]], "unsupervisedobliquedecisiontree (class in treeple.tree)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree"]], "apply() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.apply"]], "compute_similarity_matrix() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.compute_similarity_matrix"]], "cost_complexity_pruning_path() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.cost_complexity_pruning_path"]], "decision_path() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.decision_path"]], "feature_importances_ (treeple.tree.unsupervisedobliquedecisiontree property)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.feature_importances_"]], "fit_predict() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.fit_predict"]], "fit_transform() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.fit_transform"]], "get_depth() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.get_depth"]], "get_leaf_node_samples() 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"set_output() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.set_output"]], "set_params() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.set_params"]], "set_predict_request() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.set_predict_request"]], "transform() (treeple.tree.unsupervisedobliquedecisiontree method)": [[90, "treeple.tree.UnsupervisedObliqueDecisionTree.transform"]], "compute_forest_similarity_matrix() (in module treeple.tree)": [[91, "treeple.tree.compute_forest_similarity_matrix"]]}})
\ No newline at end of file
diff --git a/dev/sg_execution_times.html b/dev/sg_execution_times.html
index e5869b962..9345e1561 100644
--- a/dev/sg_execution_times.html
+++ b/dev/sg_execution_times.html
@@ -433,7 +433,7 @@
                   
   <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>10:52.817</strong> total execution time for 25 files <strong>from all galleries</strong>:</p>
+<p><strong>11:12.154</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" />
@@ -455,103 +455,103 @@
 </thead>
 <tbody>
 <tr class="row-even"><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>02:54.922</p></td>
+<td><p>03:02.119</p></td>
 <td><p>9.0</p></td>
 </tr>
 <tr class="row-odd"><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>02:50.232</p></td>
-<td><p>9.1</p></td>
+<td><p>03:00.731</p></td>
+<td><p>9.0</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>01:38.181</p></td>
-<td><p>248.1</p></td>
+<td><p>01:46.428</p></td>
+<td><p>201.7</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>00:38.007</p></td>
-<td><p>738.4</p></td>
+<td><p>00:35.651</p></td>
+<td><p>738.3</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>00:29.202</p></td>
-<td><p>128.3</p></td>
+<td><p>00:28.967</p></td>
+<td><p>169.5</p></td>
 </tr>
 <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>00:26.020</p></td>
-<td><p>2241.5</p></td>
+<td><p>00:24.921</p></td>
+<td><p>2245.3</p></td>
 </tr>
 <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>00:23.465</p></td>
+<td><p>00:21.978</p></td>
 <td><p>9.0</p></td>
 </tr>
-<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>00:08.512</p></td>
-<td><p>9.0</p></td>
+<tr class="row-odd"><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>00:08.089</p></td>
+<td><p>9.5</p></td>
 </tr>
 <tr class="row-even"><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>00:08.307</p></td>
-<td><p>9.4</p></td>
+<td><p>00:08.029</p></td>
+<td><p>9.8</p></td>
 </tr>
-<tr class="row-odd"><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>00:07.794</p></td>
-<td><p>9.5</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>00:07.655</p></td>
+<td><p>9.0</p></td>
 </tr>
 <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>00:07.548</p></td>
+<td><p>00:07.574</p></td>
 <td><p>18.6</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>00:07.533</p></td>
-<td><p>58.6</p></td>
+<td><p>00:07.220</p></td>
+<td><p>57.8</p></td>
 </tr>
 <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>00:06.506</p></td>
-<td><p>10.3</p></td>
+<td><p>00:05.972</p></td>
+<td><p>10.1</p></td>
 </tr>
 <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>00:05.930</p></td>
-<td><p>9.5</p></td>
+<td><p>00:05.904</p></td>
+<td><p>9.4</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>00:05.410</p></td>
+<tr class="row-even"><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>00:05.699</p></td>
 <td><p>9.0</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>00:05.405</p></td>
+<tr class="row-odd"><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>00:05.472</p></td>
 <td><p>9.0</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>00:04.870</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>00:05.001</p></td>
 <td><p>9.0</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>00:04.853</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>00:04.910</p></td>
 <td><p>9.0</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>00:04.529</p></td>
-<td><p>9.0</p></td>
+<td><p>00:04.449</p></td>
+<td><p>9.1</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>00:03.771</p></td>
+<td><p>00:03.733</p></td>
 <td><p>9.0</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>00:03.765</p></td>
+<td><p>00:03.606</p></td>
 <td><p>9.0</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>00:03.127</p></td>
-<td><p>109.6</p></td>
+<td><p>00:03.102</p></td>
+<td><p>111.8</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>00:02.869</p></td>
+<td><p>00:02.778</p></td>
 <td><p>9.0</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>00:01.278</p></td>
-<td><p>9.0</p></td>
+<td><p>00:01.307</p></td>
+<td><p>9.1</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>00:00.780</p></td>
+<td><p>00:00.860</p></td>
 <td><p>9.0</p></td>
 </tr>
 </tbody>
@@ -598,7 +598,7 @@
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@@ -527,7 +527,7 @@ <h1>Release History<a class="headerlink" href="#release-history" title="Link to
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diff --git a/dev/whats_new/_contributors.html b/dev/whats_new/_contributors.html
index 2c4aabec7..35eb20c9c 100644
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+++ b/dev/whats_new/_contributors.html
@@ -489,7 +489,7 @@
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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index a78a8d186..39cd5f10e 100644
--- a/dev/whats_new/v0.1.html
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@@ -563,7 +563,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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   </p>
diff --git a/dev/whats_new/v0.2.html b/dev/whats_new/v0.2.html
index 395a9f820..3e80e01ae 100644
--- a/dev/whats_new/v0.2.html
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@@ -564,7 +564,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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diff --git a/dev/whats_new/v0.3.html b/dev/whats_new/v0.3.html
index 12d296958..1b4e8e8c0 100644
--- a/dev/whats_new/v0.3.html
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@@ -559,7 +559,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/whats_new/v0.4.html b/dev/whats_new/v0.4.html
index 4b5a99b6c..7c1f47816 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
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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   </p>
diff --git a/dev/whats_new/v0.5.html b/dev/whats_new/v0.5.html
index 7fc0550a8..a38928b13 100644
--- a/dev/whats_new/v0.5.html
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@@ -563,7 +563,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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   </p>
diff --git a/dev/whats_new/v0.6.html b/dev/whats_new/v0.6.html
index a6f7a1bc9..b31769bba 100644
--- a/dev/whats_new/v0.6.html
+++ b/dev/whats_new/v0.6.html
@@ -575,7 +575,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/whats_new/v0.7.html b/dev/whats_new/v0.7.html
index 81c4d6985..7974a77de 100644
--- a/dev/whats_new/v0.7.html
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@@ -613,7 +613,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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   <p class="copyright">
     
-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
+      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-18.
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diff --git a/dev/whats_new/v0.8.html b/dev/whats_new/v0.8.html
index a16ac891f..28b45a649 100644
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@@ -583,7 +583,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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-      © Copyright 2022-2024, treeple Developers. Last updated on 2024-07-15.
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diff --git a/dev/whats_new/v0.9.html b/dev/whats_new/v0.9.html
index d0b3e0a16..1db452fa9 100644
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@@ -522,7 +522,7 @@ <h2>Code and Documentation Contributors<a class="headerlink" href="#code-and-doc
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