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_notebooks/Basic_usage.html

@@ -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;0.4.0rc2&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.4.0&#39;
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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 0x7f9ed45c90d0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.lines.Line2D at 0x7f9d95c6a390&gt;
 </pre></div>
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 <img alt="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" src="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" />
@@ -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 0x7f9ea8151490&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.JointGrid at 0x7f9d5504d390&gt;
 </pre></div>
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 <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 0x7f9ea1fe7ed0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f9d54f79690&gt;
 </pre></div>
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-<img alt="../_images/1afc83ea8392bd283bdc9cac4a8b4cae75f814bb7f3a784e0a8af02a6fabd2df.png" src="../_images/1afc83ea8392bd283bdc9cac4a8b4cae75f814bb7f3a784e0a8af02a6fabd2df.png" />
+<img alt="../_images/619414c4ee6362a53b781d50e5c574ec0322de8b96d3acf08b678a7b6b5504d6.png" src="../_images/619414c4ee6362a53b781d50e5c574ec0322de8b96d3acf08b678a7b6b5504d6.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.
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f9ea1e570d0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f9d54f48d10&gt;
 </pre></div>
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 <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 0x7f9e9fd21e10&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f9d54ce9fd0&gt;
 </pre></div>
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 <img alt="../_images/9a24bafc24d9b00917a0e1f2bf75c12f68152f5e5322a8a58a83974f1943cf77.png" src="../_images/9a24bafc24d9b00917a0e1f2bf75c12f68152f5e5322a8a58a83974f1943cf77.png" />
@@ -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([0.34015454, 0.28327   , 0.29710493, 0.07292466, 0.        ])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.48750956, 0.22376372, 0.23550932, 0.05056213, 0.        ])
 </pre></div>
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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([0.10111405, 0.3631455 , 0.50857281, 0.02716764, 0.        ])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.10075571, 0.36348681, 0.5105534 , 0.02520408, 0.        ])
 </pre></div>
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_notebooks/Tutorial.html

@@ -318,7 +318,7 @@ <h2>A quick look at <code class="docutils literal notranslate"><span class="pre"
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.4.0rc2&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.4.0&#39;
 </pre></div>
 </div>
 </div>
@@ -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 0x7fdb872d1950&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f55b5cbd610&gt;
 </pre></div>
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 <img alt="../_images/cd5838a765b85cc46ad4d3822253aaa1b0e9802d751724777bec08aee732895f.png" src="../_images/cd5838a765b85cc46ad4d3822253aaa1b0e9802d751724777bec08aee732895f.png" />
@@ -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([0.4344031 , 0.15806467, 0.31618159, 0.09135064])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.43341464, 0.16440126, 0.31468974, 0.08749436])
 </pre></div>
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@@ -723,15 +723,17 @@ <h2>Pipelines<a class="headerlink" href="#pipelines" title="Permalink to this he
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>🚩 The labels are imbalanced by more than the threshold (0.420 &gt; 0.400). See self.minority_classes_ for the minority classes.
 🚩 Features 0, 1 have samples that may be clipped.
 🚩 Features 0, 1, 2 have samples that may be correlated.
-🚩 Feature 0 has a multimodal distribution.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>🚩 Feature 0 has a multimodal distribution.
 ℹ️ Multimodality detection may not have succeeded for all groups in all features.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>🚩 There are more outliers than expected in the training data (316 vs 31).
 </pre></div>
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 <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;: 0.2721679798858705, &#39;roc_auc&#39;: 0.5022770183234067} (stratified strategy).
+ℹ️ Dummy classifier scores: {&#39;f1&#39;: 0.25488459423559595, &#39;roc_auc&#39;: 0.5} (most_frequent strategy).
 </pre></div>
 </div>
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@@ -972,12 +974,12 @@ <h2>Making your own tests<a class="headerlink" href="#making-your-own-tests" tit
 </pre></div>
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-                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7fdb84f9bd80&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f55b5bd7c40&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 0x7fdb84f9bd80&gt;,
+                 Detector(func=&lt;function BaseRedflagDetector.__init__.&lt;locals&gt;.&lt;lambda&gt; at 0x7f55b5bd7c40&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 0x7fdb84f9bd80&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 0x7f55b5bd7c40&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>