deploy: db078dc

Author: reidjohnson

generated/quantile_forest.ExtraTreesQuantileRegressor.html

@@ -902,7 +902,7 @@ <h1>ExtraTreesQuantileRegressor<a class="headerlink" href="#extratreesquantilere
 <p class="admonition-title">Note</p>
 <p>When <code class="docutils literal notranslate"><span class="pre">max_samples_leaf=1</span></code>, the specific interpolation
 options will depend on those available in the NumPy
-<code class="docutils literal notranslate"><span class="pre">percentile</span></code> and <code class="docutils literal notranslate"><span class="pre">nanpercentile</span></code> methods.</p>
+<code class="docutils literal notranslate"><span class="pre">quantile</span></code> and <code class="docutils literal notranslate"><span class="pre">nanquantile</span></code> methods.</p>
 </div>
 </dd>
 <dt><strong>weighted_quantile</strong><span class="classifier">bool, default=True</span></dt><dd><p>Calculate a weighted quantile. Weighted quantiles are computed by

generated/quantile_forest.RandomForestQuantileRegressor.html

@@ -913,7 +913,7 @@ <h1>RandomForestQuantileRegressor<a class="headerlink" href="#randomforestquanti
 <p class="admonition-title">Note</p>
 <p>When <code class="docutils literal notranslate"><span class="pre">max_samples_leaf=1</span></code>, the specific interpolation
 options will depend on those available in the NumPy
-<code class="docutils literal notranslate"><span class="pre">percentile</span></code> and <code class="docutils literal notranslate"><span class="pre">nanpercentile</span></code> methods.</p>
+<code class="docutils literal notranslate"><span class="pre">quantile</span></code> and <code class="docutils literal notranslate"><span class="pre">nanquantile</span></code> methods.</p>
 </div>
 </dd>
 <dt><strong>weighted_quantile</strong><span class="classifier">bool, default=True</span></dt><dd><p>Calculate a weighted quantile. Weighted quantiles are computed by