Deploying to gh-pages from @ 5692f32 🚀

.buildinfo

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_notebooks/Basic_usage.html

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 <link rel="index" title="Index" href="../genindex.html" /><link rel="search" title="Search" href="../search.html" /><link rel="next" title="🚩 Using redflag with sklearn" href="Using_redflag_with_sklearn.html" /><link rel="prev" title="🚩 Installation" href="../installation.html" />
 
     <link rel="shortcut icon" href="../_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>🚩 Basic usage - redflag documentation</title>
+        <title>🚩 Basic usage</title>
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     <link rel="stylesheet" type="text/css" href="../_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
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@@ -126,7 +126,7 @@
       </label>
     </div>
     <div class="header-center">
-      <a href="../index.html"><div class="brand">redflag  documentation</div></a>
+      <a href="../index.html"><div class="brand">redflag</div></a>
     </div>
     <div class="header-right">
       <div class="theme-toggle-container theme-toggle-header">
@@ -241,7 +241,7 @@ <h1>🚩 Basic usage<a class="headerlink" href="#basic-usage" title="Permalink t
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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>
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@@ -689,10 +689,10 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
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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>
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