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Update 0.2 docs

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Alinson S. Xavier
2021-01-22 07:25:10 -06:00
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73 changed files with 607 additions and 842 deletions
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6
0.2/api/miplearn/classifiers/adaptive.html
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<head>
<meta charset="utf-8">
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<meta name="generator" content="pdoc 0.7.0" />
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<title>miplearn.classifiers.adaptive API documentation</title>
<meta name="description" content="" />
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@@ -106,7 +106,7 @@ class AdaptiveClassifier(Classifier):
<dl>
<dt id="miplearn.classifiers.adaptive.AdaptiveClassifier"><code class="flex name class">
<span>class <span class="ident">AdaptiveClassifier</span></span>
<span>(</span><span>candidates=None, evaluator=<miplearn.classifiers.evaluator.ClassifierEvaluator object>)</span>
<span>(</span><span>candidates=None, evaluator=&lt;miplearn.classifiers.evaluator.ClassifierEvaluator object&gt;)</span>
</code></dt>
<dd>
<section class="desc"><p>A meta-classifier which dynamically selects what actual classifier to use
@@ -241,7 +241,7 @@ based on its cross-validation score on a particular training data set.</p>
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0.2/api/miplearn/classifiers/counting.html
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@@ -3,7 +3,7 @@
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<title>miplearn.classifiers.counting API documentation</title>
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@@ -159,7 +159,7 @@ counts how many times each label appeared, hence the name.</p></section>
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0.2/api/miplearn/classifiers/cv.html
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@@ -3,7 +3,7 @@
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<title>miplearn.classifiers.cv API documentation</title>
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@@ -308,7 +308,7 @@ acceptable. Other numbers are a linear interpolation of these two extremes.</p><
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0.2/api/miplearn/classifiers/evaluator.html
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@@ -3,7 +3,7 @@
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@@ -115,7 +115,7 @@ class ClassifierEvaluator:
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0.2/api/miplearn/classifiers/index.html
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@@ -3,7 +3,7 @@
<head>
<meta charset="utf-8">
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<meta name="generator" content="pdoc 0.7.0" />
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<title>miplearn.classifiers API documentation</title>
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@@ -97,7 +97,6 @@ class Regressor(ABC):
<dl>
<dt id="miplearn.classifiers.Classifier"><code class="flex name class">
<span>class <span class="ident">Classifier</span></span>
<span>(</span><span>*args, **kwargs)</span>
</code></dt>
<dd>
<section class="desc"><p>Helper class that provides a standard way to create an ABC using
@@ -127,8 +126,8 @@ inheritance.</p></section>
</ul>
<h3>Subclasses</h3>
<ul class="hlist">
<li><a title="miplearn.classifiers.counting.CountingClassifier" href="counting.html#miplearn.classifiers.counting.CountingClassifier">CountingClassifier</a></li>
<li><a title="miplearn.classifiers.adaptive.AdaptiveClassifier" href="adaptive.html#miplearn.classifiers.adaptive.AdaptiveClassifier">AdaptiveClassifier</a></li>
<li><a title="miplearn.classifiers.counting.CountingClassifier" href="counting.html#miplearn.classifiers.counting.CountingClassifier">CountingClassifier</a></li>
<li><a title="miplearn.classifiers.cv.CrossValidatedClassifier" href="cv.html#miplearn.classifiers.cv.CrossValidatedClassifier">CrossValidatedClassifier</a></li>
</ul>
<h3>Methods</h3>
@@ -181,7 +180,6 @@ def predict_proba(self, x_test):
</dd>
<dt id="miplearn.classifiers.Regressor"><code class="flex name class">
<span>class <span class="ident">Regressor</span></span>
<span>(</span><span>*args, **kwargs)</span>
</code></dt>
<dd>
<section class="desc"><p>Helper class that provides a standard way to create an ABC using
@@ -282,7 +280,7 @@ def predict(self):
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0.2/api/miplearn/classifiers/tests/index.html
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<title>miplearn.classifiers.tests API documentation</title>
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@@ -80,7 +80,7 @@
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0.2/api/miplearn/classifiers/tests/test_counting.html
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@@ -3,7 +3,7 @@
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<title>miplearn.classifiers.tests.test_counting API documentation</title>
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@@ -93,7 +93,7 @@ def test_counting():
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0.2/api/miplearn/classifiers/tests/test_cv.html
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@@ -3,7 +3,7 @@
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<title>miplearn.classifiers.tests.test_cv API documentation</title>
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@@ -153,7 +153,7 @@ def test_cv():
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0.2/api/miplearn/classifiers/tests/test_evaluator.html
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<title>miplearn.classifiers.tests.test_evaluator API documentation</title>
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@@ -99,7 +99,7 @@ def test_evaluator():
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0.2/api/miplearn/classifiers/tests/test_threshold.html
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<title>miplearn.classifiers.tests.test_threshold API documentation</title>
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@@ -133,7 +133,7 @@ def test_threshold_dynamic():
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0.2/api/miplearn/classifiers/threshold.html
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@@ -93,7 +93,6 @@ class MinPrecisionThreshold(DynamicThreshold):
<dl>
<dt id="miplearn.classifiers.threshold.DynamicThreshold"><code class="flex name class">
<span>class <span class="ident">DynamicThreshold</span></span>
<span>(</span><span>*args, **kwargs)</span>
</code></dt>
<dd>
<section class="desc"><p>Helper class that provides a standard way to create an ABC using
@@ -238,7 +237,7 @@ positive rate (also known as precision).</p></section>
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