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<h1>Collectors & Extractors</h1>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.classifiers.minprob">11.1. miplearn.classifiers.minprob</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.fit"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.fit()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.predict"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.predict()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.set_fit_request"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.set_fit_request()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.set_predict_request"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.set_predict_request()</span></code></a></li>
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</ul>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.classifiers.singleclass">11.2. miplearn.classifiers.singleclass</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix"><code class="docutils literal notranslate"><span class="pre">SingleClassFix</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.fit"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.fit()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.predict"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.predict()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.set_fit_request"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.set_fit_request()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.set_predict_request"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.set_predict_request()</span></code></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.collectors.basic">11.3. miplearn.collectors.basic</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.collectors.basic.BasicCollector"><code class="docutils literal notranslate"><span class="pre">BasicCollector</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.collectors.basic.BasicCollector.collect"><code class="docutils literal notranslate"><span class="pre">BasicCollector.collect()</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.extractors.fields">11.4. miplearn.extractors.fields</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor.get_constr_features"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor.get_constr_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor.get_instance_features"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor.get_instance_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor.get_var_features"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor.get_var_features()</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.extractors.AlvLouWeh2017">11.5. miplearn.extractors.AlvLouWeh2017</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_constr_features"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor.get_constr_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_instance_features"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor.get_instance_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_var_features"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor.get_var_features()</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<div id="searchbox"></div>
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<article class="bd-article">
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<section id="collectors-extractors">
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<h1><span class="section-number">11. </span>Collectors & Extractors<a class="headerlink" href="#collectors-extractors" title="Link to this heading">#</a></h1>
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<section id="module-miplearn.classifiers.minprob">
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<span id="miplearn-classifiers-minprob"></span><h2><span class="section-number">11.1. </span>miplearn.classifiers.minprob<a class="headerlink" href="#module-miplearn.classifiers.minprob" title="Link to this heading">#</a></h2>
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<dl class="py class">
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<dt class="sig sig-object py" id="miplearn.classifiers.minprob.MinProbabilityClassifier">
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">miplearn.classifiers.minprob.</span></span><span class="sig-name descname"><span class="pre">MinProbabilityClassifier</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">base_clf:</span> <span class="pre">~typing.Any,</span> <span class="pre">thresholds:</span> <span class="pre">~typing.List[float],</span> <span class="pre">clone_fn:</span> <span class="pre">~typing.Callable[[~typing.Any],</span> <span class="pre">~typing.Any]</span> <span class="pre">=</span> <span class="pre"><function</span> <span class="pre">clone></span></em><span class="sig-paren">)</span><a class="headerlink" href="#miplearn.classifiers.minprob.MinProbabilityClassifier" title="Link to this definition">#</a></dt>
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<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">BaseEstimator</span></code></p>
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<p>Meta-classifier that returns NaN for predictions made by a base classifier that
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have probability below a given threshold. More specifically, this meta-classifier
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calls base_clf.predict_proba and compares the result against the provided
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thresholds. If the probability for one of the classes is above its threshold,
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the meta-classifier returns that prediction. Otherwise, it returns NaN.</p>
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<dl class="py method">
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<dt class="sig sig-object py" id="miplearn.classifiers.minprob.MinProbabilityClassifier.fit">
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<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.fit" title="Link to this definition">#</a></dt>
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<dd></dd></dl>
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<dl class="py method">
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<dt class="sig sig-object py" id="miplearn.classifiers.minprob.MinProbabilityClassifier.predict">
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<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.predict" title="Link to this definition">#</a></dt>
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<dd></dd></dl>
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<dl class="py method">
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<dt class="sig sig-object py" id="miplearn.classifiers.minprob.MinProbabilityClassifier.set_fit_request">
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<span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#miplearn.classifiers.minprob.MinProbabilityClassifier" title="miplearn.classifiers.minprob.MinProbabilityClassifier"><span class="pre">MinProbabilityClassifier</span></a></span></span><a class="headerlink" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.set_fit_request" title="Link to this definition">#</a></dt>
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<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
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<p>Note that this method is only relevant if
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<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config()</span></code>).
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Please see <span class="xref std std-ref">User Guide</span> on how the routing
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mechanism works.</p>
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<p>The options for each parameter are:</p>
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<ul class="simple">
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<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
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<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
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<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
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<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
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</ul>
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<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
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existing request. This allows you to change the request for some
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parameters and not others.</p>
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<div class="versionadded">
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<p><span class="versionmodified added">Added in version 1.3.</span></p>
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</div>
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<div class="admonition note">
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<p class="admonition-title">Note</p>
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<p>This method is only relevant if this estimator is used as a
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sub-estimator of a meta-estimator, e.g. used inside a
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<code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code>. Otherwise it has no effect.</p>
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</div>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters<span class="colon">:</span></dt>
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<dd class="field-odd"><p><strong>x</strong> (<em>str</em><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>, </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">x</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p>
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</dd>
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<dt class="field-even">Returns<span class="colon">:</span></dt>
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<dd class="field-even"><p><strong>self</strong> – The updated object.</p>
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</dd>
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<dt class="field-odd">Return type<span class="colon">:</span></dt>
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<dd class="field-odd"><p>object</p>
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</dd>
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</dl>
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</dd></dl>
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<dl class="py method">
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<dt class="sig sig-object py" id="miplearn.classifiers.minprob.MinProbabilityClassifier.set_predict_request">
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<span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#miplearn.classifiers.minprob.MinProbabilityClassifier" title="miplearn.classifiers.minprob.MinProbabilityClassifier"><span class="pre">MinProbabilityClassifier</span></a></span></span><a class="headerlink" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.set_predict_request" title="Link to this definition">#</a></dt>
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<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
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|
<p>Note that this method is only relevant if
|
|
|
<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config()</span></code>).
|
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|
Please see <span class="xref std std-ref">User Guide</span> on how the routing
|
|
|
mechanism works.</p>
|
|
|
<p>The options for each parameter are:</p>
|
|
|
<ul class="simple">
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
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|
<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
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|
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
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|
<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
|
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|
</ul>
|
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|
<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
|
|
|
existing request. This allows you to change the request for some
|
|
|
parameters and not others.</p>
|
|
|
<div class="versionadded">
|
|
|
<p><span class="versionmodified added">Added in version 1.3.</span></p>
|
|
|
</div>
|
|
|
<div class="admonition note">
|
|
|
<p class="admonition-title">Note</p>
|
|
|
<p>This method is only relevant if this estimator is used as a
|
|
|
sub-estimator of a meta-estimator, e.g. used inside a
|
|
|
<code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code>. Otherwise it has no effect.</p>
|
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|
</div>
|
|
|
<dl class="field-list simple">
|
|
|
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
|
|
<dd class="field-odd"><p><strong>x</strong> (<em>str</em><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>, </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">x</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
|
|
|
</dd>
|
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|
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
|
|
<dd class="field-even"><p><strong>self</strong> – The updated object.</p>
|
|
|
</dd>
|
|
|
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
|
|
<dd class="field-odd"><p>object</p>
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|
</dd>
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</dl>
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</dd></dl>
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</dd></dl>
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</section>
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|
<section id="module-miplearn.classifiers.singleclass">
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|
|
<span id="miplearn-classifiers-singleclass"></span><h2><span class="section-number">11.2. </span>miplearn.classifiers.singleclass<a class="headerlink" href="#module-miplearn.classifiers.singleclass" title="Link to this heading">#</a></h2>
|
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|
<dl class="py class">
|
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|
<dt class="sig sig-object py" id="miplearn.classifiers.singleclass.SingleClassFix">
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|
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">miplearn.classifiers.singleclass.</span></span><span class="sig-name descname"><span class="pre">SingleClassFix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_clf:</span> <span class="pre">~sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clone_fn:</span> <span class="pre">~typing.Callable</span> <span class="pre">=</span> <span class="pre"><function</span> <span class="pre">clone></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#miplearn.classifiers.singleclass.SingleClassFix" title="Link to this definition">#</a></dt>
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|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">BaseEstimator</span></code></p>
|
|
|
<p>Some sklearn classifiers, such as logistic regression, have issues with datasets
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|
that contain a single class. This meta-classifier fixes the issue. If the
|
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|
training data contains a single class, this meta-classifier always returns that
|
|
|
class as a prediction. Otherwise, it fits the provided base classifier,
|
|
|
and returns its predictions instead.</p>
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.classifiers.singleclass.SingleClassFix.fit">
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|
<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#miplearn.classifiers.singleclass.SingleClassFix.fit" title="Link to this definition">#</a></dt>
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|
<dd></dd></dl>
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<dl class="py method">
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|
<dt class="sig sig-object py" id="miplearn.classifiers.singleclass.SingleClassFix.predict">
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|
<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.classifiers.singleclass.SingleClassFix.predict" title="Link to this definition">#</a></dt>
|
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|
<dd></dd></dl>
|
|
|
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|
<dl class="py method">
|
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|
<dt class="sig sig-object py" id="miplearn.classifiers.singleclass.SingleClassFix.set_fit_request">
|
|
|
<span class="sig-name descname"><span class="pre">set_fit_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#miplearn.classifiers.singleclass.SingleClassFix" title="miplearn.classifiers.singleclass.SingleClassFix"><span class="pre">SingleClassFix</span></a></span></span><a class="headerlink" href="#miplearn.classifiers.singleclass.SingleClassFix.set_fit_request" title="Link to this definition">#</a></dt>
|
|
|
<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">fit</span></code> method.</p>
|
|
|
<p>Note that this method is only relevant if
|
|
|
<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config()</span></code>).
|
|
|
Please see <span class="xref std std-ref">User Guide</span> on how the routing
|
|
|
mechanism works.</p>
|
|
|
<p>The options for each parameter are:</p>
|
|
|
<ul class="simple">
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">fit</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
|
|
|
</ul>
|
|
|
<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
|
|
|
existing request. This allows you to change the request for some
|
|
|
parameters and not others.</p>
|
|
|
<div class="versionadded">
|
|
|
<p><span class="versionmodified added">Added in version 1.3.</span></p>
|
|
|
</div>
|
|
|
<div class="admonition note">
|
|
|
<p class="admonition-title">Note</p>
|
|
|
<p>This method is only relevant if this estimator is used as a
|
|
|
sub-estimator of a meta-estimator, e.g. used inside a
|
|
|
<code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code>. Otherwise it has no effect.</p>
|
|
|
</div>
|
|
|
<dl class="field-list simple">
|
|
|
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
|
|
<dd class="field-odd"><p><strong>x</strong> (<em>str</em><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>, </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">x</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p>
|
|
|
</dd>
|
|
|
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
|
|
<dd class="field-even"><p><strong>self</strong> – The updated object.</p>
|
|
|
</dd>
|
|
|
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
|
|
<dd class="field-odd"><p>object</p>
|
|
|
</dd>
|
|
|
</dl>
|
|
|
</dd></dl>
|
|
|
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.classifiers.singleclass.SingleClassFix.set_predict_request">
|
|
|
<span class="sig-name descname"><span class="pre">set_predict_request</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$UNCHANGED$'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#miplearn.classifiers.singleclass.SingleClassFix" title="miplearn.classifiers.singleclass.SingleClassFix"><span class="pre">SingleClassFix</span></a></span></span><a class="headerlink" href="#miplearn.classifiers.singleclass.SingleClassFix.set_predict_request" title="Link to this definition">#</a></dt>
|
|
|
<dd><p>Request metadata passed to the <code class="docutils literal notranslate"><span class="pre">predict</span></code> method.</p>
|
|
|
<p>Note that this method is only relevant if
|
|
|
<code class="docutils literal notranslate"><span class="pre">enable_metadata_routing=True</span></code> (see <code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.set_config()</span></code>).
|
|
|
Please see <span class="xref std std-ref">User Guide</span> on how the routing
|
|
|
mechanism works.</p>
|
|
|
<p>The options for each parameter are:</p>
|
|
|
<ul class="simple">
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">True</span></code>: metadata is requested, and passed to <code class="docutils literal notranslate"><span class="pre">predict</span></code> if provided. The request is ignored if metadata is not provided.</p></li>
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">False</span></code>: metadata is not requested and the meta-estimator will not pass it to <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code>: metadata is not requested, and the meta-estimator will raise an error if the user provides it.</p></li>
|
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">str</span></code>: metadata should be passed to the meta-estimator with this given alias instead of the original name.</p></li>
|
|
|
</ul>
|
|
|
<p>The default (<code class="docutils literal notranslate"><span class="pre">sklearn.utils.metadata_routing.UNCHANGED</span></code>) retains the
|
|
|
existing request. This allows you to change the request for some
|
|
|
parameters and not others.</p>
|
|
|
<div class="versionadded">
|
|
|
<p><span class="versionmodified added">Added in version 1.3.</span></p>
|
|
|
</div>
|
|
|
<div class="admonition note">
|
|
|
<p class="admonition-title">Note</p>
|
|
|
<p>This method is only relevant if this estimator is used as a
|
|
|
sub-estimator of a meta-estimator, e.g. used inside a
|
|
|
<code class="xref py py-class docutils literal notranslate"><span class="pre">Pipeline</span></code>. Otherwise it has no effect.</p>
|
|
|
</div>
|
|
|
<dl class="field-list simple">
|
|
|
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
|
|
<dd class="field-odd"><p><strong>x</strong> (<em>str</em><em>, </em><em>True</em><em>, </em><em>False</em><em>, or </em><em>None</em><em>, </em><em>default=sklearn.utils.metadata_routing.UNCHANGED</em>) – Metadata routing for <code class="docutils literal notranslate"><span class="pre">x</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p>
|
|
|
</dd>
|
|
|
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
|
|
<dd class="field-even"><p><strong>self</strong> – The updated object.</p>
|
|
|
</dd>
|
|
|
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
|
|
<dd class="field-odd"><p>object</p>
|
|
|
</dd>
|
|
|
</dl>
|
|
|
</dd></dl>
|
|
|
|
|
|
</dd></dl>
|
|
|
|
|
|
</section>
|
|
|
<section id="module-miplearn.collectors.basic">
|
|
|
<span id="miplearn-collectors-basic"></span><h2><span class="section-number">11.3. </span>miplearn.collectors.basic<a class="headerlink" href="#module-miplearn.collectors.basic" title="Link to this heading">#</a></h2>
|
|
|
<dl class="py class">
|
|
|
<dt class="sig sig-object py" id="miplearn.collectors.basic.BasicCollector">
|
|
|
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">miplearn.collectors.basic.</span></span><span class="sig-name descname"><span class="pre">BasicCollector</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_lp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_mps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#miplearn.collectors.basic.BasicCollector" title="Link to this definition">#</a></dt>
|
|
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.collectors.basic.BasicCollector.collect">
|
|
|
<span class="sig-name descname"><span class="pre">collect</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filenames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">build_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">progress</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#miplearn.collectors.basic.BasicCollector.collect" title="Link to this definition">#</a></dt>
|
|
|
<dd></dd></dl>
|
|
|
|
|
|
</dd></dl>
|
|
|
|
|
|
</section>
|
|
|
<section id="module-miplearn.extractors.fields">
|
|
|
<span id="miplearn-extractors-fields"></span><h2><span class="section-number">11.4. </span>miplearn.extractors.fields<a class="headerlink" href="#module-miplearn.extractors.fields" title="Link to this heading">#</a></h2>
|
|
|
<dl class="py class">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.fields.H5FieldsExtractor">
|
|
|
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">miplearn.extractors.fields.</span></span><span class="sig-name descname"><span class="pre">H5FieldsExtractor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instance_fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constr_fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#miplearn.extractors.fields.H5FieldsExtractor" title="Link to this definition">#</a></dt>
|
|
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">FeaturesExtractor</span></code></p>
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.fields.H5FieldsExtractor.get_constr_features">
|
|
|
<span class="sig-name descname"><span class="pre">get_constr_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">H5File</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.extractors.fields.H5FieldsExtractor.get_constr_features" title="Link to this definition">#</a></dt>
|
|
|
<dd></dd></dl>
|
|
|
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.fields.H5FieldsExtractor.get_instance_features">
|
|
|
<span class="sig-name descname"><span class="pre">get_instance_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">H5File</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.extractors.fields.H5FieldsExtractor.get_instance_features" title="Link to this definition">#</a></dt>
|
|
|
<dd></dd></dl>
|
|
|
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.fields.H5FieldsExtractor.get_var_features">
|
|
|
<span class="sig-name descname"><span class="pre">get_var_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">H5File</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.extractors.fields.H5FieldsExtractor.get_var_features" title="Link to this definition">#</a></dt>
|
|
|
<dd></dd></dl>
|
|
|
|
|
|
</dd></dl>
|
|
|
|
|
|
</section>
|
|
|
<section id="module-miplearn.extractors.AlvLouWeh2017">
|
|
|
<span id="miplearn-extractors-alvlouweh2017"></span><h2><span class="section-number">11.5. </span>miplearn.extractors.AlvLouWeh2017<a class="headerlink" href="#module-miplearn.extractors.AlvLouWeh2017" title="Link to this heading">#</a></h2>
|
|
|
<dl class="py class">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor">
|
|
|
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">miplearn.extractors.AlvLouWeh2017.</span></span><span class="sig-name descname"><span class="pre">AlvLouWeh2017Extractor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">with_m1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_m2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_m3</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor" title="Link to this definition">#</a></dt>
|
|
|
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">FeaturesExtractor</span></code></p>
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_constr_features">
|
|
|
<span class="sig-name descname"><span class="pre">get_constr_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">H5File</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_constr_features" title="Link to this definition">#</a></dt>
|
|
|
<dd></dd></dl>
|
|
|
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_instance_features">
|
|
|
<span class="sig-name descname"><span class="pre">get_instance_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">H5File</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_instance_features" title="Link to this definition">#</a></dt>
|
|
|
<dd></dd></dl>
|
|
|
|
|
|
<dl class="py method">
|
|
|
<dt class="sig sig-object py" id="miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_var_features">
|
|
|
<span class="sig-name descname"><span class="pre">get_var_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">H5File</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_var_features" title="Link to this definition">#</a></dt>
|
|
|
<dd><dl class="simple">
|
|
|
<dt>Computes static variable features described in:</dt><dd><p>Alvarez, A. M., Louveaux, Q., & Wehenkel, L. (2017). A machine learning-based
|
|
|
approximation of strong branching. INFORMS Journal on Computing, 29(1),
|
|
|
185-195.</p>
|
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<i class="fa-solid fa-list"></i> Contents
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.classifiers.minprob">11.1. miplearn.classifiers.minprob</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.fit"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.fit()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.predict"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.predict()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.set_fit_request"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.set_fit_request()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.minprob.MinProbabilityClassifier.set_predict_request"><code class="docutils literal notranslate"><span class="pre">MinProbabilityClassifier.set_predict_request()</span></code></a></li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.classifiers.singleclass">11.2. miplearn.classifiers.singleclass</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix"><code class="docutils literal notranslate"><span class="pre">SingleClassFix</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.fit"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.fit()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.predict"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.predict()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.set_fit_request"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.set_fit_request()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.classifiers.singleclass.SingleClassFix.set_predict_request"><code class="docutils literal notranslate"><span class="pre">SingleClassFix.set_predict_request()</span></code></a></li>
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</li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.collectors.basic">11.3. miplearn.collectors.basic</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.collectors.basic.BasicCollector"><code class="docutils literal notranslate"><span class="pre">BasicCollector</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.collectors.basic.BasicCollector.collect"><code class="docutils literal notranslate"><span class="pre">BasicCollector.collect()</span></code></a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.extractors.fields">11.4. miplearn.extractors.fields</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor.get_constr_features"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor.get_constr_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor.get_instance_features"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor.get_instance_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.fields.H5FieldsExtractor.get_var_features"><code class="docutils literal notranslate"><span class="pre">H5FieldsExtractor.get_var_features()</span></code></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-miplearn.extractors.AlvLouWeh2017">11.5. miplearn.extractors.AlvLouWeh2017</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor</span></code></a><ul class="nav section-nav flex-column">
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_constr_features"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor.get_constr_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_instance_features"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor.get_instance_features()</span></code></a></li>
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<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_var_features"><code class="docutils literal notranslate"><span class="pre">AlvLouWeh2017Extractor.get_var_features()</span></code></a></li>
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