From ec3c92cb350ec202a18be38c13fdae6f99a3f0f3 Mon Sep 17 00:00:00 2001
From: kwinkunks <kwinkunks@users.noreply.github.com>
Date: Thu, 28 Sep 2023 19:38:16 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20scienxla?=
 =?UTF-8?q?b/redflag@5692f32af6ce796b1e0b6ec5d073f662d64d3d93=20?=
 =?UTF-8?q?=F0=9F=9A=80?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .buildinfo                                    |   2 +-
 .doctrees/_notebooks/Basic_usage.doctree      | Bin 91373 -> 91349 bytes
 .doctrees/_notebooks/Tutorial.doctree         | Bin 154113 -> 154115 bytes
 .../Using_redflag_with_Pandas.doctree         | Bin 24298 -> 24304 bytes
 .../Using_redflag_with_sklearn.doctree        | Bin 215510 -> 215510 bytes
 .doctrees/environment.pickle                  | Bin 157103 -> 157061 bytes
 ...c51e93f35691cfd08985926c07cc7c4c5d6806.png | Bin 26017 -> 0 bytes
 ...32d898e8676372639c45c8a041dfa381a9f139.png | Bin 0 -> 25888 bytes
 ...3779e5ef7129d75198face14a30712ac7fdac7.png | Bin 9421 -> 0 bytes
 ...f5b08b8a0982bd4077460bbd5ae05387500f63.png | Bin 0 -> 9500 bytes
 _notebooks/Basic_usage.html                   |  32 +++++++++---------
 _notebooks/Tutorial.html                      |  20 +++++------
 _notebooks/Using_redflag_with_Pandas.html     |  16 ++++-----
 _notebooks/Using_redflag_with_sklearn.html    |  30 ++++++++--------
 authors.html                                  |   4 +--
 changelog.html                                |   4 +--
 contributing.html                             |   4 +--
 development.html                              |   4 +--
 genindex.html                                 |   4 +--
 index.html                                    |   4 +--
 installation.html                             |   4 +--
 license.html                                  |   4 +--
 py-modindex.html                              |   4 +--
 redflag.html                                  |   4 +--
 search.html                                   |   4 +--
 searchindex.js                                |   2 +-
 26 files changed, 73 insertions(+), 73 deletions(-)
 delete mode 100644 _images/189e714bdbe64f6e2b2407adf9c51e93f35691cfd08985926c07cc7c4c5d6806.png
 create mode 100644 _images/1ba56adc63176cf6f7dc6fa19b32d898e8676372639c45c8a041dfa381a9f139.png
 delete mode 100644 _images/450b80bfa0cd04cfa435ed31fc3779e5ef7129d75198face14a30712ac7fdac7.png
 create mode 100644 _images/e1b9bfe88314fd44507322cffef5b08b8a0982bd4077460bbd5ae05387500f63.png

diff --git a/.buildinfo b/.buildinfo
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diff --git a/_notebooks/Basic_usage.html b/_notebooks/Basic_usage.html
index 36e0b36..144f7b8 100644
--- a/_notebooks/Basic_usage.html
+++ b/_notebooks/Basic_usage.html
@@ -6,7 +6,7 @@
 <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>
       <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="../_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css" />
@@ -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
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.1.dev1+ga3e5e5e&#39;
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@@ -547,7 +547,7 @@ <h2>Imbalance metrics<a class="headerlink" href="#imbalance-metrics" title="Perm
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.lines.Line2D at 0x7fa5a8b9ddd0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.lines.Line2D at 0x7f6c2d202690&gt;
 </pre></div>
 </div>
 <img alt="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" src="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" />
@@ -566,9 +566,9 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
 </div>
 <div class="cell_output docutils container">
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 301,  302,  303,  415,  416,  417,  418,  799,  896,  897,  898,
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+       3080, 3580, 3581, 3582, 3583])
 </pre></div>
 </div>
 </div>
@@ -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;
 </pre></div>
 </div>
-<img alt="../_images/189e714bdbe64f6e2b2407adf9c51e93f35691cfd08985926c07cc7c4c5d6806.png" src="../_images/189e714bdbe64f6e2b2407adf9c51e93f35691cfd08985926c07cc7c4c5d6806.png" />
+<img alt="../_images/1ba56adc63176cf6f7dc6fa19b32d898e8676372639c45c8a041dfa381a9f139.png" src="../_images/1ba56adc63176cf6f7dc6fa19b32d898e8676372639c45c8a041dfa381a9f139.png" />
 </div>
 </div>
 <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.
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.JointGrid at 0x7fa58c9b2690&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.JointGrid at 0x7f6c2865ec50&gt;
 </pre></div>
 </div>
 <img alt="../_images/7f1d114ebd5dc69f6ffee981278b2058bc2c78ca4b6ea7e3ad264388429d3ee5.png" src="../_images/7f1d114ebd5dc69f6ffee981278b2058bc2c78ca4b6ea7e3ad264388429d3ee5.png" />
@@ -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.
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fa58c978950&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f6c2858f1d0&gt;
 </pre></div>
 </div>
-<img alt="../_images/450b80bfa0cd04cfa435ed31fc3779e5ef7129d75198face14a30712ac7fdac7.png" src="../_images/450b80bfa0cd04cfa435ed31fc3779e5ef7129d75198face14a30712ac7fdac7.png" />
+<img alt="../_images/e1b9bfe88314fd44507322cffef5b08b8a0982bd4077460bbd5ae05387500f63.png" src="../_images/e1b9bfe88314fd44507322cffef5b08b8a0982bd4077460bbd5ae05387500f63.png" />
 </div>
 </div>
 <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.
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fa58ca48950&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f6c2839f510&gt;
 </pre></div>
 </div>
 <img alt="../_images/cd5838a765b85cc46ad4d3822253aaa1b0e9802d751724777bec08aee732895f.png" src="../_images/cd5838a765b85cc46ad4d3822253aaa1b0e9802d751724777bec08aee732895f.png" />
@@ -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.
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fa58c866d10&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f6c28487b10&gt;
 </pre></div>
 </div>
 <img alt="../_images/9a24bafc24d9b00917a0e1f2bf75c12f68152f5e5322a8a58a83974f1943cf77.png" src="../_images/9a24bafc24d9b00917a0e1f2bf75c12f68152f5e5322a8a58a83974f1943cf77.png" />
@@ -947,7 +947,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.24840897, 0.34972206, 0.32817662, 0.07369235, 0.        ])
+<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.        ])
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 </div>
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 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([1, 2, 0])
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 </div>
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@@ -992,7 +992,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.08955964, 0.35788656, 0.525743  , 0.0268108 , 0.        ])
+<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.        ])
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 </div>
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diff --git a/_notebooks/Tutorial.html b/_notebooks/Tutorial.html
index cbbfd42..e7a345b 100644
--- a/_notebooks/Tutorial.html
+++ b/_notebooks/Tutorial.html
@@ -6,7 +6,7 @@
 <link rel="index" title="Index" href="../genindex.html" /><link rel="search" title="Search" href="../search.html" /><link rel="next" title="redflag package" href="../redflag.html" /><link rel="prev" title="🚩 Using redflag with Pandas" href="Using_redflag_with_Pandas.html" />
 
     <link rel="shortcut icon" href="../_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>🚩 Tutorial - redflag documentation</title>
+        <title>🚩 Tutorial</title>
       <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="../_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css" />
@@ -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">
@@ -292,7 +292,7 @@ <h2>A simple ML workflow<a class="headerlink" href="#a-simple-ml-workflow" title
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 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([&#39;ss&#39;, &#39;ss&#39;], dtype=&#39;&lt;U2&#39;)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([&#39;ss&#39;, &#39;ms&#39;], dtype=&#39;&lt;U2&#39;)
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@@ -570,7 +570,7 @@ <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.
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f4a91901850&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f3c0dda1d10&gt;
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@@ -623,7 +623,7 @@ <h2>Importance<a class="headerlink" href="#importance" title="Permalink to this
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.40817216, 0.20385381, 0.31665051, 0.07132352])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.40748158, 0.20717811, 0.31682316, 0.06851715])
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@@ -733,7 +733,7 @@ <h2>Pipelines<a class="headerlink" href="#pipelines" title="Permalink to this he
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 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>🚩 Feature 3 has low importance; check for relevance.
-ℹ️ Dummy classifier scores: {&#39;f1&#39;: 0.2562046792503389, &#39;roc_auc&#39;: 0.4937139556627474} (stratified strategy).
+ℹ️ Dummy classifier scores: {&#39;f1&#39;: 0.27481682904196963, &#39;roc_auc&#39;: 0.5014605857836049} (stratified strategy).
 </pre></div>
 </div>
 <div class="output text_html"><style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),
@@ -974,12 +974,12 @@ <h2>Making your own tests<a class="headerlink" href="#making-your-own-tests" tit
 </pre></div>
 </div>
 <div class="output text_html"><style>#sk-container-id-4 {color: black;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-4" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;detector&#x27;,
-                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f4a917bfce0&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f3c0dc63ce0&gt;,
                           message=&#x27;are negative&#x27;)),
                 (&#x27;svc&#x27;, SVC())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-34" type="checkbox" ><label for="sk-estimator-id-34" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;detector&#x27;,
-                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f4a917bfce0&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f3c0dc63ce0&gt;,
                           message=&#x27;are negative&#x27;)),
-                (&#x27;svc&#x27;, SVC())])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-35" type="checkbox" ><label for="sk-estimator-id-35" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f4a917bfce0&gt;,
+                (&#x27;svc&#x27;, SVC())])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-35" type="checkbox" ><label for="sk-estimator-id-35" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f3c0dc63ce0&gt;,
          message=&#x27;are negative&#x27;)</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-36" type="checkbox" ><label for="sk-estimator-id-36" class="sk-toggleable__label sk-toggleable__label-arrow">SVC</label><div class="sk-toggleable__content"><pre>SVC()</pre></div></div></div></div></div></div></div></div></div>
 </div>
 <p>The noise feature we added has negative values; the others are all positive, which is what we expect for these data.</p>
diff --git a/_notebooks/Using_redflag_with_Pandas.html b/_notebooks/Using_redflag_with_Pandas.html
index 4ab23f2..d779a3b 100644
--- a/_notebooks/Using_redflag_with_Pandas.html
+++ b/_notebooks/Using_redflag_with_Pandas.html
@@ -6,7 +6,7 @@
 <link rel="index" title="Index" href="../genindex.html" /><link rel="search" title="Search" href="../search.html" /><link rel="next" title="🚩 Tutorial" href="Tutorial.html" /><link rel="prev" title="🚩 Using redflag with sklearn" href="Using_redflag_with_sklearn.html" />
 
     <link rel="shortcut icon" href="../_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>🚩 Using redflag with Pandas - redflag documentation</title>
+        <title>🚩 Using redflag with Pandas</title>
       <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="../_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css" />
@@ -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">
@@ -234,7 +234,7 @@ <h1>🚩 Using <code class="docutils literal notranslate"><span class="pre">redf
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.1.dev1+ga3e5e5e&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.1.dev1+g5692f32&#39;
 </pre></div>
 </div>
 </div>
@@ -430,8 +430,8 @@ <h2>Series accessor<a class="headerlink" href="#series-accessor" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;f1&#39;: 0.24308613668344808,
- &#39;roc_auc&#39;: 0.49544118310710333,
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{&#39;f1&#39;: 0.2531086249215408,
+ &#39;roc_auc&#39;: 0.4979211887477007,
  &#39;strategy&#39;: &#39;stratified&#39;,
  &#39;task&#39;: &#39;classification&#39;}
 </pre></div>
@@ -463,9 +463,9 @@ <h2>Series accessor<a class="headerlink" href="#series-accessor" title="Permalin
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Continuous data suitable for regression
-Outliers:    [  34   35  140  141  142  143  175  182  532  581  583  633  662  757
-  768  769  801 1316 1547 1744 1754 1756 1778 1779 1780 1784 1788 1808
- 1812 2884 2932 2973 2974 3004 3079 3080 3087 3094 3109]
+Outliers:    [  34   35  136  140  141  142  143  175  182  532  583  633  662  757
+  768  769  801 1316 1547 1731 1744 1754 1756 1778 1779 1780 1785 1788
+ 1808 1812 2884 2932 2973 2974 3004 3079 3080 3087 3094 3109]
 Correlated:  True
 Dummy scores:{&#39;mean&#39;: {&#39;mean_squared_error&#39;: 47528.78263092096, &#39;r2&#39;: 0.0}}
 </pre></div>
diff --git a/_notebooks/Using_redflag_with_sklearn.html b/_notebooks/Using_redflag_with_sklearn.html
index 0148a34..1f8c138 100644
--- a/_notebooks/Using_redflag_with_sklearn.html
+++ b/_notebooks/Using_redflag_with_sklearn.html
@@ -6,7 +6,7 @@
 <link rel="index" title="Index" href="../genindex.html" /><link rel="search" title="Search" href="../search.html" /><link rel="next" title="🚩 Using redflag with Pandas" href="Using_redflag_with_Pandas.html" /><link rel="prev" title="🚩 Basic usage" href="Basic_usage.html" />
 
     <link rel="shortcut icon" href="../_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>🚩 Using redflag with sklearn - redflag documentation</title>
+        <title>🚩 Using redflag with sklearn</title>
       <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="../_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css" />
@@ -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">
@@ -574,7 +574,7 @@ <h2>Using the pre-built <code class="docutils literal notranslate"><span class="
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>🚩 There are more outliers than expected in the training data (349 vs 31).
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>ℹ️ Dummy classifier scores: {&#39;f1&#39;: 0.2553305717063476, &#39;roc_auc&#39;: 0.5040393210009199} (stratified strategy).
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>ℹ️ Dummy classifier scores: {&#39;f1&#39;: 0.2573500590509208, &#39;roc_auc&#39;: 0.5025408179081148} (stratified strategy).
 </pre></div>
 </div>
 <div class="output text_html"><style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),
@@ -743,7 +743,7 @@ <h2>The imbalance comparator<a class="headerlink" href="#the-imbalance-comparato
 </div>
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>🚩 There is a different number of minority classes (2) compared to the training data (4).
-🚩 The minority classes (sandstone, dolomite) are different from those in the training data (wackestone, sandstone, dolomite, mudstone).
+🚩 The minority classes (dolomite, sandstone) are different from those in the training data (dolomite, wackestone, mudstone, sandstone).
 </pre></div>
 </div>
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[  66.276     , 2359.73324716,    3.591     ],
@@ -779,12 +779,12 @@ <h2>Making your own smoke detector<a class="headerlink" href="#making-your-own-s
 </div>
 <div class="cell_output docutils container">
 <div class="output text_html"><style>#sk-container-id-6 {color: black;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-6" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;detector&#x27;,
-                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdb380&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5b2e0&gt;,
                           message=&#x27;are NaNs&#x27;)),
                 (&#x27;svc&#x27;, SVC())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-43" type="checkbox" ><label for="sk-estimator-id-43" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;detector&#x27;,
-                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdb380&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5b2e0&gt;,
                           message=&#x27;are NaNs&#x27;)),
-                (&#x27;svc&#x27;, SVC())])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-44" type="checkbox" ><label for="sk-estimator-id-44" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdb380&gt;,
+                (&#x27;svc&#x27;, SVC())])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-44" type="checkbox" ><label for="sk-estimator-id-44" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5b2e0&gt;,
          message=&#x27;are NaNs&#x27;)</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-45" type="checkbox" ><label for="sk-estimator-id-45" class="sk-toggleable__label sk-toggleable__label-arrow">SVC</label><div class="sk-toggleable__content"><pre>SVC()</pre></div></div></div></div></div></div></div></div></div>
 </div>
 <p>There are no NaNs.</p>
@@ -811,30 +811,30 @@ <h2>Making your own smoke detector<a class="headerlink" href="#making-your-own-s
 <div class="output text_html"><style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-7" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),
                 (&#x27;pipeline&#x27;,
                  Pipeline(steps=[(&#x27;detector-1&#x27;,
-                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdb6a0&gt;,
+                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5b100&gt;,
                                            message=&#x27;fail custom func &#x27;
                                                    &#x27;has_nans()&#x27;)),
                                  (&#x27;detector-2&#x27;,
-                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdbe20&gt;,
+                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5bec0&gt;,
                                            message=&#x27;fail custom func &#x27;
                                                    &#x27;has_outliers()&#x27;))])),
                 (&#x27;svc&#x27;, SVC())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-46" type="checkbox" ><label for="sk-estimator-id-46" class="sk-toggleable__label sk-toggleable__label-arrow">Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),
                 (&#x27;pipeline&#x27;,
                  Pipeline(steps=[(&#x27;detector-1&#x27;,
-                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdb6a0&gt;,
+                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5b100&gt;,
                                            message=&#x27;fail custom func &#x27;
                                                    &#x27;has_nans()&#x27;)),
                                  (&#x27;detector-2&#x27;,
-                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdbe20&gt;,
+                                  Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5bec0&gt;,
                                            message=&#x27;fail custom func &#x27;
                                                    &#x27;has_outliers()&#x27;))])),
                 (&#x27;svc&#x27;, SVC())])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-47" type="checkbox" ><label for="sk-estimator-id-47" class="sk-toggleable__label sk-toggleable__label-arrow">StandardScaler</label><div class="sk-toggleable__content"><pre>StandardScaler()</pre></div></div></div><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-48" type="checkbox" ><label for="sk-estimator-id-48" class="sk-toggleable__label sk-toggleable__label-arrow">pipeline: Pipeline</label><div class="sk-toggleable__content"><pre>Pipeline(steps=[(&#x27;detector-1&#x27;,
-                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdb6a0&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5b100&gt;,
                           message=&#x27;fail custom func has_nans()&#x27;)),
                 (&#x27;detector-2&#x27;,
-                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdbe20&gt;,
-                          message=&#x27;fail custom func has_outliers()&#x27;))])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-49" type="checkbox" ><label for="sk-estimator-id-49" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdb6a0&gt;,
-         message=&#x27;fail custom func has_nans()&#x27;)</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-50" type="checkbox" ><label for="sk-estimator-id-50" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f9497cdbe20&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5bec0&gt;,
+                          message=&#x27;fail custom func has_outliers()&#x27;))])</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-49" type="checkbox" ><label for="sk-estimator-id-49" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5b100&gt;,
+         message=&#x27;fail custom func has_nans()&#x27;)</pre></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-50" type="checkbox" ><label for="sk-estimator-id-50" class="sk-toggleable__label sk-toggleable__label-arrow">Detector</label><div class="sk-toggleable__content"><pre>Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fb862c5bec0&gt;,
          message=&#x27;fail custom func has_outliers()&#x27;)</pre></div></div></div></div></div><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-51" type="checkbox" ><label for="sk-estimator-id-51" class="sk-toggleable__label sk-toggleable__label-arrow">SVC</label><div class="sk-toggleable__content"><pre>SVC()</pre></div></div></div></div></div></div></div></div></div>
 </div>
 </section>
diff --git a/authors.html b/authors.html
index bc855db..524792d 100644
--- a/authors.html
+++ b/authors.html
@@ -6,7 +6,7 @@
 <link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="License" href="license.html" /><link rel="prev" title="Contributing" href="contributing.html" />
 
     <link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>Authors - redflag documentation</title>
+        <title>Authors</title>
       <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
@@ -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">
diff --git a/changelog.html b/changelog.html
index 7bcc7e2..8b7b5f1 100644
--- a/changelog.html
+++ b/changelog.html
@@ -6,7 +6,7 @@
 <link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="prev" title="License" href="license.html" />
 
     <link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>Changelog - redflag documentation</title>
+        <title>Changelog</title>
       <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
@@ -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">
diff --git a/contributing.html b/contributing.html
index 712055f..1e024f9 100644
--- a/contributing.html
+++ b/contributing.html
@@ -6,7 +6,7 @@
 <link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Authors" href="authors.html" /><link rel="prev" title="Development" href="development.html" />
 
     <link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>Contributing - redflag documentation</title>
+        <title>Contributing</title>
       <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
@@ -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">
diff --git a/development.html b/development.html
index bb9b695..28306a7 100644
--- a/development.html
+++ b/development.html
@@ -6,7 +6,7 @@
 <link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Contributing" href="contributing.html" /><link rel="prev" title="redflag package" href="redflag.html" />
 
     <link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 -->
-        <title>Development - redflag documentation</title>
+        <title>Development</title>
       <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
     <link rel="stylesheet" type="text/css" href="_static/styles/furo.css?digest=fad236701ea90a88636c2a8c73b44ae642ed2a53" />
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
@@ -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">
diff --git a/genindex.html b/genindex.html
index c6bd3f8..5c65f79 100644
--- a/genindex.html
+++ b/genindex.html
@@ -4,7 +4,7 @@
     <meta name="viewport" content="width=device-width,initial-scale=1"/>
     <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="#" /><link rel="search" title="Search" href="search.html" />
 
-    <link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 --><title>Index - redflag documentation</title>
+    <link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 5.3.0 and Furo 2023.03.27 --><title>Index - </title>
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"redflag.target.is_continuous"]], "is_correlated() (in module redflag.independence)": [[11, "redflag.independence.is_correlated"]], "is_imbalanced() (in module redflag.imbalance)": [[11, "redflag.imbalance.is_imbalanced"]], "is_multiclass() (in module redflag.target)": [[11, "redflag.target.is_multiclass"]], "is_multimodal() (in module redflag.distributions)": [[11, "redflag.distributions.is_multimodal"]], "is_multioutput() (in module redflag.target)": [[11, "redflag.target.is_multioutput"]], "is_numeric() (in module redflag.utils)": [[11, "redflag.utils.is_numeric"]], "is_ordered() (in module redflag.target)": [[11, "redflag.target.is_ordered"]], "is_ordered() (redflag.pandas.seriesaccessor method)": [[11, "redflag.pandas.SeriesAccessor.is_ordered"]], "is_standard_normal() (in module redflag.utils)": [[11, "redflag.utils.is_standard_normal"]], "is_standardized() (in module redflag.utils)": [[11, "redflag.utils.is_standardized"]], "iter_groups() (in module redflag.utils)": [[11, "redflag.utils.iter_groups"]], "kde_peaks() (in module redflag.distributions)": [[11, "redflag.distributions.kde_peaks"]], "least_important_features() (in module redflag.importance)": [[11, "redflag.importance.least_important_features"]], "mahalanobis() (in module redflag.outliers)": [[11, "redflag.outliers.mahalanobis"]], "mahalanobis_outliers() (in module redflag.outliers)": [[11, "redflag.outliers.mahalanobis_outliers"]], "major_minor() (in module redflag.imbalance)": [[11, "redflag.imbalance.major_minor"]], "make_detector_pipeline() (in module redflag.sklearn)": [[11, "redflag.sklearn.make_detector_pipeline"]], "make_rf_pipeline() (in module redflag.sklearn)": [[11, "redflag.sklearn.make_rf_pipeline"]], "minority_classes() (in module redflag.imbalance)": [[11, "redflag.imbalance.minority_classes"]], "minority_classes() (redflag.pandas.seriesaccessor method)": [[11, "redflag.pandas.SeriesAccessor.minority_classes"]], "module": [[11, "module-redflag"], [11, "module-redflag.distributions"], [11, "module-redflag.imbalance"], [11, "module-redflag.importance"], [11, "module-redflag.independence"], [11, "module-redflag.markov"], [11, "module-redflag.outliers"], [11, "module-redflag.pandas"], [11, "module-redflag.sklearn"], [11, "module-redflag.target"], [11, "module-redflag.utils"]], "most_important_features() (in module redflag.importance)": [[11, "redflag.importance.most_important_features"]], "n_classes() (in module redflag.target)": [[11, "redflag.target.n_classes"]], "normalized_difference (redflag.markov.markov_chain property)": [[11, "redflag.markov.Markov_chain.normalized_difference"]], "null_decorator() (in module redflag.pandas)": [[11, "redflag.pandas.null_decorator"]], "observations() (in module redflag.markov)": [[11, "redflag.markov.observations"]], "observed_freqs (redflag.markov.markov_chain property)": [[11, "redflag.markov.Markov_chain.observed_freqs"]], "ordered_unique() (in module redflag.utils)": [[11, "redflag.utils.ordered_unique"]], "proportion_to_stdev() (in module redflag.utils)": [[11, "redflag.utils.proportion_to_stdev"]], "redflag": [[11, "module-redflag"]], "redflag.distributions": [[11, "module-redflag.distributions"]], "redflag.imbalance": [[11, "module-redflag.imbalance"]], "redflag.importance": [[11, "module-redflag.importance"]], "redflag.independence": [[11, "module-redflag.independence"]], "redflag.markov": [[11, "module-redflag.markov"]], "redflag.outliers": [[11, "module-redflag.outliers"]], "redflag.pandas": [[11, "module-redflag.pandas"]], "redflag.sklearn": [[11, "module-redflag.sklearn"]], "redflag.target": [[11, "module-redflag.target"]], "redflag.utils": [[11, "module-redflag.utils"]], "regularize() (in module redflag.markov)": [[11, "redflag.markov.regularize"]], "report() (redflag.pandas.seriesaccessor method)": [[11, "redflag.pandas.SeriesAccessor.report"]], "split_and_standardize() (in module redflag.utils)": [[11, "redflag.utils.split_and_standardize"]], "stdev_to_proportion() (in module redflag.utils)": [[11, "redflag.utils.stdev_to_proportion"]], "transform() (redflag.sklearn.baseredflagdetector method)": [[11, "redflag.sklearn.BaseRedflagDetector.transform"]], "transform() (redflag.sklearn.distributioncomparator method)": [[11, "redflag.sklearn.DistributionComparator.transform"]], "transform() (redflag.sklearn.dummypredictor method)": [[11, "redflag.sklearn.DummyPredictor.transform"]], "transform() (redflag.sklearn.imbalancecomparator method)": [[11, "redflag.sklearn.ImbalanceComparator.transform"]], "transform() (redflag.sklearn.imbalancedetector method)": [[11, "redflag.sklearn.ImbalanceDetector.transform"]], "transform() (redflag.sklearn.importancedetector method)": [[11, "redflag.sklearn.ImportanceDetector.transform"]], "transform() (redflag.sklearn.insufficientdatadetector method)": [[11, "redflag.sklearn.InsufficientDataDetector.transform"]], "transform() (redflag.sklearn.multimodalitydetector method)": [[11, "redflag.sklearn.MultimodalityDetector.transform"]], "transform() (redflag.sklearn.multivariateoutlierdetector method)": [[11, "redflag.sklearn.MultivariateOutlierDetector.transform"]], "transform() (redflag.sklearn.outlierdetector method)": [[11, "redflag.sklearn.OutlierDetector.transform"]], "transform() (redflag.sklearn.rfpipeline method)": [[11, "redflag.sklearn.RfPipeline.transform"]], "update_p() (in module redflag.utils)": [[11, "redflag.utils.update_p"]], "wasserstein() (in module redflag.distributions)": [[11, "redflag.distributions.wasserstein"]], "wasserstein_multi() (in module redflag.distributions)": [[11, "redflag.distributions.wasserstein_multi"]], "wasserstein_ovo() (in module redflag.distributions)": [[11, "redflag.distributions.wasserstein_ovo"]], "wasserstein_ovr() (in module redflag.distributions)": [[11, "redflag.distributions.wasserstein_ovr"]], "zscore() (in module redflag.utils)": [[11, "redflag.utils.zscore"]]}})
\ No newline at end of file