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diff --git a/dev/_images/sphx_glr_plot_extra_orf_sample_size_001.png b/dev/_images/sphx_glr_plot_extra_orf_sample_size_001.png
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diff --git a/dev/_images/sphx_glr_plot_extra_orf_sample_size_thumb.png b/dev/_images/sphx_glr_plot_extra_orf_sample_size_thumb.png
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diff --git a/dev/auto_examples/plot_extended_isolation_forest.html b/dev/auto_examples/plot_extended_isolation_forest.html
index f0c96d1a8..62967c9be 100644
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@@ -670,7 +670,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
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diff --git a/dev/auto_examples/plot_extra_oblique_random_forest.html b/dev/auto_examples/plot_extra_oblique_random_forest.html
index d8e28575e..5e322a55e 100644
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+++ b/dev/auto_examples/plot_extra_oblique_random_forest.html
@@ -527,16 +527,16 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
 n_repeats        1
                                     time_taken
 dataset          dimension   model
-PhishingWebsites (2000, 30)  EORF     0.959034
-                             ORF      0.956910
-cnae-9           (864, 856)  EORF     1.716336
-                             ORF      1.817993
-har              (2000, 561) EORF     1.535635
-                             ORF      2.995873
-lsvt             (100, 310)  EORF     0.822867
-                             ORF      0.877835
-wdbc             (455, 30)   EORF     0.766218
-                             ORF      0.866656
+PhishingWebsites (2000, 30)  EORF     0.897649
+                             ORF      0.947645
+cnae-9           (864, 856)  EORF     1.593771
+                             ORF      1.712286
+har              (2000, 561) EORF     1.456748
+                             ORF      2.786905
+lsvt             (100, 310)  EORF     0.816623
+                             ORF      0.857479
+wdbc             (455, 30)   EORF     0.697373
+                             ORF      0.778348
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diff --git a/dev/auto_examples/plot_extra_orf_sample_size.html b/dev/auto_examples/plot_extra_orf_sample_size.html
index 9cda9005b..988903781 100644
--- a/dev/auto_examples/plot_extra_orf_sample_size.html
+++ b/dev/auto_examples/plot_extra_orf_sample_size.html
@@ -591,7 +591,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
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diff --git a/dev/auto_examples/plot_iris_dtc.html b/dev/auto_examples/plot_iris_dtc.html
index d58801dc3..6902c4ee8 100644
--- a/dev/auto_examples/plot_iris_dtc.html
+++ b/dev/auto_examples/plot_iris_dtc.html
@@ -556,7 +556,7 @@
 <li><img src="../_images/sphx_glr_plot_iris_dtc_003.png" srcset="../_images/sphx_glr_plot_iris_dtc_003.png" alt="Axis-aligned decision tree trained on all the iris features" class = "sphx-glr-multi-img"/></li>
 <li><img src="../_images/sphx_glr_plot_iris_dtc_004.png" srcset="../_images/sphx_glr_plot_iris_dtc_004.png" alt="Oblique decision tree trained on all the iris features" class = "sphx-glr-multi-img"/></li>
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 <p><strong>Estimated memory usage:</strong>  9 MB</p>
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diff --git a/dev/auto_examples/plot_oblique_axis_aligned_forests_sparse_parity.html b/dev/auto_examples/plot_oblique_axis_aligned_forests_sparse_parity.html
index 826bc89ea..266307159 100644
--- a/dev/auto_examples/plot_oblique_axis_aligned_forests_sparse_parity.html
+++ b/dev/auto_examples/plot_oblique_axis_aligned_forests_sparse_parity.html
@@ -528,7 +528,7 @@
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.432 seconds)</p>
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diff --git a/dev/auto_examples/plot_oblique_forests_iris.html b/dev/auto_examples/plot_oblique_forests_iris.html
index b0705bbe3..705ec74ff 100644
--- a/dev/auto_examples/plot_oblique_forests_iris.html
+++ b/dev/auto_examples/plot_oblique_forests_iris.html
@@ -588,8 +588,8 @@
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-<p><strong>Estimated memory usage:</strong>  2366 MB</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 25.604 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  2377 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-oblique-forests-iris-py">
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 <p><a class="reference download internal" download="" href="../_downloads/dc083ccdf5b4abd93884efac359614b5/plot_oblique_forests_iris.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_oblique_forests_iris.py</span></code></a></p>
diff --git a/dev/auto_examples/plot_oblique_random_forest.html b/dev/auto_examples/plot_oblique_random_forest.html
index 7c3747b88..8654bed7e 100644
--- a/dev/auto_examples/plot_oblique_random_forest.html
+++ b/dev/auto_examples/plot_oblique_random_forest.html
@@ -444,7 +444,7 @@
 <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..
 Loading [cnae-9] dataset..
-It took 26 seconds to run the script
+It took 27 seconds to run the script
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 <div class="line-block">
@@ -558,7 +558,7 @@
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 28.780 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 MB</p>
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diff --git a/dev/auto_examples/plot_overlapping_gaussians.html b/dev/auto_examples/plot_overlapping_gaussians.html
index 337befabf..5b4a22380 100644
--- a/dev/auto_examples/plot_overlapping_gaussians.html
+++ b/dev/auto_examples/plot_overlapping_gaussians.html
@@ -620,8 +620,8 @@ <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 12.270 seconds)</p>
-<p><strong>Estimated memory usage:</strong>  10 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 11.664 seconds)</p>
+<p><strong>Estimated memory usage:</strong>  14 MB</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-overlapping-gaussians-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/ed8294c8526ffbb9799792531e2f729f/plot_overlapping_gaussians.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_overlapping_gaussians.py</span></code></a></p>
diff --git a/dev/auto_examples/plot_projection_matrices.html b/dev/auto_examples/plot_projection_matrices.html
index 134944b1a..362ed27be 100644
--- a/dev/auto_examples/plot_projection_matrices.html
+++ b/dev/auto_examples/plot_projection_matrices.html
@@ -742,7 +742,7 @@ <h2>Discontiguous Patches<a class="headerlink" href="#discontiguous-patches" tit
 <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_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 10.795 seconds)</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 9.636 seconds)</p>
 <p><strong>Estimated memory usage:</strong>  9 MB</p>
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diff --git a/dev/auto_examples/sg_execution_times.html b/dev/auto_examples/sg_execution_times.html
index 6a859164e..e0c1db3cb 100644
--- a/dev/auto_examples/sg_execution_times.html
+++ b/dev/auto_examples/sg_execution_times.html
@@ -399,48 +399,48 @@
                   
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>04:55.107</strong> total execution time for <strong>auto_examples</strong> files:</p>
+<p><strong>04:43.411</strong> total execution time for <strong>auto_examples</strong> files:</p>
 <table class="table">
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_extra_orf_sample_size.html#sphx-glr-auto-examples-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>02:10.150</p></td>
+<td><p>02:08.839</p></td>
 <td><p>9.2 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_extra_oblique_random_forest.html#sphx-glr-auto-examples-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">plot_extra_oblique_random_forest.py</span></code>)</p></td>
-<td><p>00:30.683</p></td>
-<td><p>153.5 MB</p></td>
+<td><p>00:29.020</p></td>
+<td><p>136.9 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="plot_oblique_forests_iris.html#sphx-glr-auto-examples-plot-oblique-forests-iris-py"><span class="std std-ref">Compare the decision surfaces of oblique extra-trees with standard oblique trees</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_oblique_forests_iris.py</span></code>)</p></td>
-<td><p>00:29.300</p></td>
-<td><p>2365.9 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="plot_oblique_random_forest.html#sphx-glr-auto-examples-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>00:28.780</p></td>
+<td><p>9.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_MI_gigantic_hypothesis_testing_forest.html#sphx-glr-auto-examples-plot-mi-gigantic-hypothesis-testing-forest-py"><span class="std std-ref">Mutual Information for Gigantic Hypothesis Testing (MIGHT)</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_MI_gigantic_hypothesis_testing_forest.py</span></code>)</p></td>
-<td><p>00:28.507</p></td>
-<td><p>697.0 MB</p></td>
+<td><p>00:25.958</p></td>
+<td><p>886.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="plot_oblique_random_forest.html#sphx-glr-auto-examples-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>00:28.107</p></td>
-<td><p>9.1 MB</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="plot_oblique_forests_iris.html#sphx-glr-auto-examples-plot-oblique-forests-iris-py"><span class="std std-ref">Compare the decision surfaces of oblique extra-trees with standard oblique trees</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_oblique_forests_iris.py</span></code>)</p></td>
+<td><p>00:25.604</p></td>
+<td><p>2376.7 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_overlapping_gaussians.html#sphx-glr-auto-examples-plot-overlapping-gaussians-py"><span class="std std-ref">Plot honest forest calibrations on overlapping gaussian simulations</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_overlapping_gaussians.py</span></code>)</p></td>
-<td><p>00:12.270</p></td>
-<td><p>9.8 MB</p></td>
+<td><p>00:11.664</p></td>
+<td><p>14.2 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_extended_isolation_forest.html#sphx-glr-auto-examples-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>00:11.473</p></td>
-<td><p>9.6 MB</p></td>
+<td><p>00:10.572</p></td>
+<td><p>9.7 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_projection_matrices.html#sphx-glr-auto-examples-plot-projection-matrices-py"><span class="std std-ref">Plot the projection matrices of an oblique tree</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_projection_matrices.py</span></code>)</p></td>
-<td><p>00:10.795</p></td>
-<td><p>9.3 MB</p></td>
+<td><p>00:09.636</p></td>
+<td><p>9.2 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_oblique_axis_aligned_forests_sparse_parity.html#sphx-glr-auto-examples-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>00:08.721</p></td>
+<td><p>00:08.432</p></td>
 <td><p>9.7 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_iris_dtc.html#sphx-glr-auto-examples-plot-iris-dtc-py"><span class="std std-ref">Plot the decision surface of decision trees trained on the iris dataset</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_iris_dtc.py</span></code>)</p></td>
-<td><p>00:05.100</p></td>
-<td><p>9.1 MB</p></td>
+<td><p>00:04.904</p></td>
+<td><p>9.0 MB</p></td>
 </tr>
 </tbody>
 </table>
diff --git a/dev/searchindex.js b/dev/searchindex.js
index bbc4594ee..a882ce858 100644
--- a/dev/searchindex.js
+++ b/dev/searchindex.js
@@ -1 +1 @@
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22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "alia": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "instead": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "metadata_rout": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "retain": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "exist": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "insid": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 58], "pipelin": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "effect": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 54], "updat": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "set_param": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "nest": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "compon": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "__": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "so": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "properti": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "dynam": [13, 33, 34, 35, 36], "identifi": [13, 33, 34, 35, 36, 53], "member": [13, 33, 34, 35, 36], "bag": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36], "re": [13, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "reduc": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 51], "footprint": [13, 33, 34, 35, 36], "fetch": [13, 33, 34, 35, 36], "mai": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 53], "slower": [13, 15, 19, 21, 23, 33, 34, 35, 36], "min_samples_split": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 59], "min_weight_fraction_leaf": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "max_leaf_nod": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "min_impurity_decreas": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "oob_scor": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25], "class_weight": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "ccp_alpha": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "max_bin": [14, 15, 22, 23], "store_leaf_valu": [14, 15, 22, 23, 37, 38, 39, 40, 42, 43, 44, 45], "monotonic_cst": [14, 15, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 59], "22": [14, 15, 17, 22, 23, 37, 38, 39, 40], "log_loss": [14, 22, 37, 39], "qualiti": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52, 53], "criteria": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 53], "impur": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 52], "shannon": [14, 22, 37, 39], "gain": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "mathemat": [14, 20, 21, 22, 24, 25, 37, 39, 44, 45, 49, 51, 55], "formul": [14, 22, 24, 25, 37, 39, 55], "expand": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "until": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "pure": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "fraction": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "least": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "smooth": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "especi": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "log2": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 59], "doe": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 29, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 51, 52], "stop": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45], "valid": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "partit": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 27, 37, 38, 39, 40, 41, 42, 43, 44, 45, 52], "found": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "rel": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 53], "reduct": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "unlimit": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "induc": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "decreas": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "equat": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_t": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_t_r": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "right_impur": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_t_l": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "left_impur": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "current": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 52], "19": [14, 15, 22, 23, 37, 38, 39, 40], "callabl": [14, 15, 22, 23, 24, 25, 30, 32, 46, 47], "out": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 35, 36, 51], "accuracy_scor": [14, 22], "signatur": [14, 15, 22, 23, 24, 25], "y_true": [14, 15, 19, 21, 22, 23, 38, 40, 43, 45], "y_pred": [14, 15, 19, 21, 22, 23, 38, 40, 43, 45], "decision_path": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "weak": [14, 15, 22, 23], "learner": [14, 15, 22, 23], "balanc": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "balanced_subsampl": [14, 16, 18, 20, 22], "class_label": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "suppos": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "multi": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 39, 41, 42, 44, 55, 58], "output": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 55, 58], "multioutput": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45], "multilabel": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "everi": [14, 16, 18, 20, 21, 22, 37, 39, 41, 42, 44, 45, 52], "mode": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44, 50], "automat": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "adjust": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "invers": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "frequenc": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "bincount": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "except": [14, 15, 16, 18, 19, 20, 21, 22, 23, 38, 40, 43, 45, 51], "grown": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43], "multipli": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "through": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49], "minim": [14, 15, 16, 19, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52, 53], "cost": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 52], "prune": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "subtre": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "largest": [14, 15, 16, 22, 23, 30, 37, 38, 39, 40, 41], "smaller": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41], "interv": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 52], "255": [14, 15, 22, 23], "miss": [14, 15, 22, 23, 37, 38, 39, 40, 41, 52], "experiment": [14, 15, 22, 23, 37, 38, 39, 40, 49, 59], "get_leaf_node_sampl": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "monoton": [14, 15, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45], "enforc": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45], "multiclass": [14, 22, 37, 39, 41], "n_outputs_": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45], "hold": [14, 22, 37, 39, 41], "extratreesregressor": [14, 23, 39, 40], "regressor": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 36, 37, 38, 39, 40, 43, 45], "optim": [14, 15, 44, 45, 52], "randomforestregressor": [14, 15, 19, 21, 33, 34, 36, 39], "etc": [14, 15, 16, 18, 19, 20, 21, 22, 23, 29, 37, 38, 39, 40, 41, 42, 43], "fulli": [14, 15, 16, 18, 19, 20, 21, 22, 23, 33, 34, 37, 38, 39, 40, 41, 42, 43], "unprun": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43], "potenti": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 45], "consumpt": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43], "make_classif": [14, 16, 18, 22], "extratreeclassifi": [14, 40], "classes_": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "n_classes_": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "feature_importances_": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "oob_score_": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25], "oob_decision_function_": [14, 16, 18, 19, 20, 22, 24, 25], "n_output": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "small": [14, 16, 18, 19, 20, 22, 24, 25], "never": [14, 16, 18, 19, 20, 22, 24, 25], "nan": [14, 16, 18, 19, 20, 22, 24, 25, 34, 41], "x_leav": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "datapoint": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "up": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 52], "n_node": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "element": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "goe": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "csr": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_nodes_ptr": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25], "give": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 42, 43], "real": [14, 15, 16, 18, 19, 20, 21, 22, 23, 38, 40, 43, 45], "would": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 52], "net": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "possibli": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "vector": [14, 15, 16, 18, 19, 20, 21, 22, 23, 31, 37, 38, 39, 40, 41, 42, 43, 44, 45, 52, 53], "leaf_node_sampl": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25], "reach": [14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_leaf_node_sampl": [14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "vari": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "sinc": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 58, 59, 60], "fall": [14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "partial_fit": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44, 59], "must": [14, 16, 18, 19, 20, 22, 30, 37, 39, 41, 42, 43, 44, 46, 47], "subsequ": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "That": [14, 16, 18, 20, 22, 24, 25, 37, 38, 41, 42, 43, 44, 45, 46, 47], "highest": [14, 16, 18, 20, 22, 24, 25, 37, 41, 42], "predict_log_proba": [14, 16, 18, 20, 22, 37, 39, 42, 44], "log": [14, 16, 18, 20, 22, 27, 28, 37, 39, 42, 44, 52, 53], "predict_quantil": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "quantil": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "median": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "interpol": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 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52], "sever": [13, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "n_left": 13, "path": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "array_lik": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48], "n_featur": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 51, 52], "csr_matrix": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "abnorm": 13, "csc_matrix": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "Not": [13, 17, 24, 25, 42, 43, 44, 45, 46, 47], "convent": [13, 17, 24, 25, 46, 47], "weight": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52, 58], "self": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "fit_predict": [13, 24, 25, 46, 47], "get_metadata_rout": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "metadata": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "rout": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "check": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "metadatarequest": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "encapsul": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "get_param": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "deep": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 51], "subobject": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "is_inli": 13, "tell": 13, "accord": [13, 17], "opposit": 13, "set_fit_request": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "unchang": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "request": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49], "enable_metadata_rout": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "set_config": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "option": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50], "meta": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "rais": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "error": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "alia": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "instead": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "metadata_rout": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "retain": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "exist": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "insid": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 58], "pipelin": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "effect": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 54], "updat": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "set_param": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "nest": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "compon": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "__": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "so": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "properti": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "dynam": [13, 33, 34, 35, 36], "identifi": [13, 33, 34, 35, 36, 53], "member": [13, 33, 34, 35, 36], "bag": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36], "re": [13, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "reduc": [13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 51], "footprint": [13, 33, 34, 35, 36], "fetch": [13, 33, 34, 35, 36], "mai": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 53], "slower": [13, 15, 19, 21, 23, 33, 34, 35, 36], "min_samples_split": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 59], "min_weight_fraction_leaf": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "max_leaf_nod": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "min_impurity_decreas": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "oob_scor": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25], "class_weight": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "ccp_alpha": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "max_bin": [14, 15, 22, 23], "store_leaf_valu": [14, 15, 22, 23, 37, 38, 39, 40, 42, 43, 44, 45], "monotonic_cst": [14, 15, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 59], "22": [14, 15, 17, 22, 23, 37, 38, 39, 40], "log_loss": [14, 22, 37, 39], "qualiti": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52, 53], "criteria": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 53], "impur": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 52], "shannon": [14, 22, 37, 39], "gain": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "mathemat": [14, 20, 21, 22, 24, 25, 37, 39, 44, 45, 49, 51, 55], "formul": [14, 22, 24, 25, 37, 39, 55], "expand": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "until": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "pure": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "fraction": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "least": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "smooth": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "especi": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "log2": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 59], "doe": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 29, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 51, 52], "stop": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45], "valid": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "partit": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 27, 37, 38, 39, 40, 41, 42, 43, 44, 45, 52], "found": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "rel": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 53], "reduct": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "unlimit": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "induc": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "decreas": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51], "equat": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_t": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_t_r": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "right_impur": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "n_t_l": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "left_impur": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "current": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 52], "19": [14, 15, 22, 23, 37, 38, 39, 40], "callabl": [14, 15, 22, 23, 24, 25, 30, 32, 46, 47], "out": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 35, 36, 51], "accuracy_scor": [14, 22], "signatur": [14, 15, 22, 23, 24, 25], "y_true": [14, 15, 19, 21, 22, 23, 38, 40, 43, 45], "y_pred": [14, 15, 19, 21, 22, 23, 38, 40, 43, 45], "decision_path": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "weak": [14, 15, 22, 23], "learner": [14, 15, 22, 23], "balanc": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "balanced_subsampl": [14, 16, 18, 20, 22], "class_label": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "suppos": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "multi": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 39, 41, 42, 44, 55, 58], "output": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 33, 34, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 55, 58], "multioutput": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45], "multilabel": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "everi": [14, 16, 18, 20, 21, 22, 37, 39, 41, 42, 44, 45, 52], "mode": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44, 50], "automat": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "adjust": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "invers": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "frequenc": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "bincount": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "except": [14, 15, 16, 18, 19, 20, 21, 22, 23, 38, 40, 43, 45, 51], "grown": [14, 15, 16, 18, 19, 20, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43], "multipli": [14, 16, 18, 20, 22, 37, 39, 41, 42, 44], "through": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49], "minim": [14, 15, 16, 19, 21, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52, 53], "cost": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 52], "prune": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52], "subtre": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "largest": [14, 15, 16, 22, 23, 30, 37, 38, 39, 40, 41], "smaller": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41], "interv": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 52], "255": [14, 15, 22, 23], "miss": [14, 15, 22, 23, 37, 38, 39, 40, 41, 52], "experiment": [14, 15, 22, 23, 37, 38, 39, 40, 49, 59], "get_leaf_node_sampl": [14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], "monoton": [14, 15, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45], "enforc": [14, 15, 16, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45], "multiclass": [14, 22, 37, 39, 41], "n_outputs_": [14, 15, 16, 18, 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\ No newline at end of file
diff --git a/dev/whats_new/v0.2.html b/dev/whats_new/v0.2.html
index 64a35dca5..0ccb322e7 100644
--- a/dev/whats_new/v0.2.html
+++ b/dev/whats_new/v0.2.html
@@ -424,7 +424,7 @@
 <p>This release is a major release, with many new features and improvements.
 For instance, we have added a new implementation of the extended isolation forest,
 enabled all decision trees to take advantage of <code class="docutils literal notranslate"><span class="pre">partial_fit</span></code> meaning trees have streaming
-capabilities. Moreover, we have added an analagous implementation of extra-trees for oblique-trees.
+capabilities. Moreover, we have added an analogous implementation of extra-trees for oblique-trees.
 Finally, this release includes a highly experimental feature for multivariate high-dimensional
 hypothesis testing using permutation forests and a feature importance testing forest.</p>
 <section id="changelog">