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@@ -241,7 +241,7 @@ <h1>🚩 Basic usage<a class="headerlink" href="#basic-usage" title="Permalink t
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@@ -547,7 +547,7 @@ <h2>Imbalance metrics<a class="headerlink" href="#imbalance-metrics" title="Perm
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.lines.Line2D at 0x7f6c2d202690&gt;
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@@ -566,9 +566,9 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
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+       2641, 2642, 2643, 2920, 2921, 2922, 3070, 3071, 3074, 3075, 3076,
+       3079, 3080, 3081, 3580, 3581, 3582, 3583])
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@@ -593,7 +593,7 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: xlabel=&#39;GR&#39;, ylabel=&#39;Density&#39;&gt;
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-<img alt="../_images/1ba56adc63176cf6f7dc6fa19b32d898e8676372639c45c8a041dfa381a9f139.png" src="../_images/1ba56adc63176cf6f7dc6fa19b32d898e8676372639c45c8a041dfa381a9f139.png" />
+<img alt="../_images/189e714bdbe64f6e2b2407adf9c51e93f35691cfd08985926c07cc7c4c5d6806.png" src="../_images/189e714bdbe64f6e2b2407adf9c51e93f35691cfd08985926c07cc7c4c5d6806.png" />
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 <p>By default it uses an <a class="reference external" href="https://scikit-learn.org/stable/modules/outlier_detection.html#isolation-forest"><strong>isolation forest</strong></a> to detect the outliers at the 99% confidence level, but you can also opt to use <strong>local outlier factor</strong>, <strong>elliptic envelope</strong>, or <strong>Mahalanobis distance</strong>, setting the confidence level to choose how many outliers you will see, or (equivalently) setting the <code class="docutils literal notranslate"><span class="pre">threshold</span></code> to the number of standard deviations away from the mean you regard as signal.</p>
@@ -630,7 +630,7 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.JointGrid at 0x7f6c2865ec50&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.JointGrid at 0x7f7e91248350&gt;
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@@ -689,10 +689,10 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f6c2858f1d0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7e91517650&gt;
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-<img alt="../_images/e1b9bfe88314fd44507322cffef5b08b8a0982bd4077460bbd5ae05387500f63.png" src="../_images/e1b9bfe88314fd44507322cffef5b08b8a0982bd4077460bbd5ae05387500f63.png" />
+<img alt="../_images/6926060aa195d27441afba5d0c6c6c783ce469934bee1334c3a1576c21d8671a.png" src="../_images/6926060aa195d27441afba5d0c6c6c783ce469934bee1334c3a1576c21d8671a.png" />
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 <p>This truncated normal distribution has no outliers (there are only about 60, compared to the 100 we expect at this confidence level of 99% on this dataset of 10,000 records).</p>
@@ -737,7 +737,7 @@ <h2>Clipping<a class="headerlink" href="#clipping" title="Permalink to this head
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f6c2839f510&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7e9118cb10&gt;
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@@ -782,7 +782,7 @@ <h2>Distribution shape<a class="headerlink" href="#distribution-shape" title="Pe
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Distribution(name=&#39;gumbel_r&#39;, shape=[], loc=10.040572536302586, scale=4.93432972751726)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Distribution(name=&#39;gumbel_r&#39;, shape=[], loc=10.04057253630259, scale=4.93432972751726)
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@@ -798,7 +798,7 @@ <h2>Distribution shape<a class="headerlink" href="#distribution-shape" title="Pe
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f6c28487b10&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7e90fb70d0&gt;
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@@ -947,7 +947,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.30766122, 0.22259071, 0.38663027, 0.08018607, 0.        ])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.27066275, 0.37373081, 0.30116304, 0.04411356, 0.        ])
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@@ -974,7 +974,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([2, 0, 1])
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@@ -992,7 +992,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.08004098, 0.36424492, 0.52199477, 0.03371933, 0.        ])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.08660013, 0.35794204, 0.52263576, 0.03282207, 0.        ])
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