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kwinkunks committed Oct 2, 2023
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26 changes: 13 additions & 13 deletions _notebooks/Basic_usage.html
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Expand Up @@ -241,7 +241,7 @@ <h1>🚩 Basic usage<a class="headerlink" href="#basic-usage" title="Permalink t
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.4.1rc1&#39;
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Expand Down Expand Up @@ -547,7 +547,7 @@ <h2>Imbalance metrics<a class="headerlink" href="#imbalance-metrics" title="Perm
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<img alt="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" src="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" />
Expand All @@ -566,9 +566,9 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
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Expand All @@ -587,7 +587,7 @@ <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/a340233ba17c1e5eb62e85cf1fdb9ebc0367fe61b55cffeb57d41f7c7db84667.png" src="../_images/a340233ba17c1e5eb62e85cf1fdb9ebc0367fe61b55cffeb57d41f7c7db84667.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>
Expand All @@ -603,7 +603,7 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
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Expand Down Expand Up @@ -658,10 +658,10 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fc3c7a0a050&gt;
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<img alt="../_images/78b326006b369ba59c19b37269b57966149c2078a5c958af7c31e2a866e47b68.png" src="../_images/78b326006b369ba59c19b37269b57966149c2078a5c958af7c31e2a866e47b68.png" />
<img alt="../_images/5622393bf97562e4769af6b0391730d3918adbc36846f7770f70ed7d894166ec.png" src="../_images/5622393bf97562e4769af6b0391730d3918adbc36846f7770f70ed7d894166ec.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>
Expand Down Expand Up @@ -702,7 +702,7 @@ <h2>Clipping<a class="headerlink" href="#clipping" title="Permalink to this head
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Expand Down Expand Up @@ -759,7 +759,7 @@ <h2>Distribution shape<a class="headerlink" href="#distribution-shape" title="Pe
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Expand Down Expand Up @@ -908,7 +908,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
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Expand All @@ -935,7 +935,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
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Expand All @@ -953,7 +953,7 @@ <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([0.09156698, 0.36541869, 0.51196039, 0.03105394, 0. ])
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