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1023 lines
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<div class="section" id="quapy-method-package">
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<h1>quapy.method package<a class="headerlink" href="#quapy-method-package" title="Permalink to this headline">¶</a></h1>
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<div class="section" id="submodules">
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<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2>
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</div>
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<div class="section" id="module-quapy.method.aggregative">
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<span id="quapy-method-aggregative-module"></span><h2>quapy.method.aggregative module<a class="headerlink" href="#module-quapy.method.aggregative" title="Permalink to this headline">¶</a></h2>
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<dl class="py class">
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<dt class="sig sig-object py" id="quapy.method.aggregative.ACC">
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<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ACC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ACC" title="Permalink to this definition">¶</a></dt>
|
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<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeQuantifier" title="quapy.method.aggregative.AggregativeQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeQuantifier</span></code></a></p>
|
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<dl class="py method">
|
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<dt class="sig sig-object py" id="quapy.method.aggregative.ACC.aggregate">
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<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_predictions</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ACC.aggregate" title="Permalink to this definition">¶</a></dt>
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<dd></dd></dl>
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|
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<dl class="py method">
|
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<dt class="sig sig-object py" id="quapy.method.aggregative.ACC.classify">
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<span class="sig-name descname"><span class="pre">classify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ACC.classify" title="Permalink 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="quapy.method.aggregative.ACC.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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ACC.fit" title="Permalink to this definition">¶</a></dt>
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<dd><p>Trains a ACC quantifier
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:param data: the training set
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:param fit_learner: set to False to bypass the training (the learner is assumed to be already fit)
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:param val_split: either a float in (0,1) indicating the proportion of training instances to use for</p>
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<blockquote>
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<div><p>validation (e.g., 0.3 for using 30% of the training set as validation data), or a LabelledCollection
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indicating the validation set itself, or an int indicating the number k of folds to be used in kFCV
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to estimate the parameters</p>
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</div></blockquote>
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<dl class="field-list simple">
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<dt class="field-odd">Returns</dt>
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||
<dd class="field-odd"><p>self</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="quapy.method.aggregative.ACC.solve_adjustment">
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<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">solve_adjustment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">PteCondEstim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prevs_estim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ACC.solve_adjustment" title="Permalink to this definition">¶</a></dt>
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<dd></dd></dl>
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|
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</dd></dl>
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<dl class="py attribute">
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<dt class="sig sig-object py" id="quapy.method.aggregative.AdjustedClassifyAndCount">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">AdjustedClassifyAndCount</span></span><a class="headerlink" href="#quapy.method.aggregative.AdjustedClassifyAndCount" title="Permalink to this definition">¶</a></dt>
|
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<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.ACC" title="quapy.method.aggregative.ACC"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ACC</span></code></a></p>
|
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</dd></dl>
|
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|
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<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeProbabilisticQuantifier">
|
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<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">AggregativeProbabilisticQuantifier</span></span><a class="headerlink" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier" title="Permalink to this definition">¶</a></dt>
|
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<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeQuantifier" title="quapy.method.aggregative.AggregativeQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeQuantifier</span></code></a></p>
|
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<p>Abstract class for quantification methods that base their estimations on the aggregation of posterior probabilities
|
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as returned by a probabilistic classifier. Aggregative Probabilistic Quantifiers thus extend Aggregative
|
||
Quantifiers by implementing a _posterior_probabilities_ method returning values in [0,1] – the posterior
|
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probabilities.</p>
|
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<dl class="py method">
|
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<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeProbabilisticQuantifier.posterior_probabilities">
|
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<span class="sig-name descname"><span class="pre">posterior_probabilities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier.posterior_probabilities" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
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<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeProbabilisticQuantifier.predict_proba">
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<span class="sig-name descname"><span class="pre">predict_proba</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier.predict_proba" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
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||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeProbabilisticQuantifier.probabilistic">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">probabilistic</span></span><a class="headerlink" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier.probabilistic" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeProbabilisticQuantifier.quantify">
|
||
<span class="sig-name descname"><span class="pre">quantify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier.quantify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeProbabilisticQuantifier.set_params">
|
||
<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier.set_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">AggregativeQuantifier</span></span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BaseQuantifier</span></code></a></p>
|
||
<p>Abstract class for quantification methods that base their estimations on the aggregation of classification
|
||
results. Aggregative Quantifiers thus implement a _classify_ method and maintain a _learner_ attribute.</p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.aggregate">
|
||
<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_predictions</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.aggregative">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">aggregative</span></span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.aggregative" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.classes_">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">classes_</span></span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.classes_" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.classify">
|
||
<span class="sig-name descname"><span class="pre">classify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.classify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.fit">
|
||
<em class="property"><span class="pre">abstract</span> </em><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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.get_params">
|
||
<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.get_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.learner">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">learner</span></span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.learner" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.n_classes">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">n_classes</span></span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.n_classes" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.quantify">
|
||
<span class="sig-name descname"><span class="pre">quantify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.quantify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.AggregativeQuantifier.set_params">
|
||
<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.AggregativeQuantifier.set_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.CC">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">CC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.CC" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeQuantifier" title="quapy.method.aggregative.AggregativeQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeQuantifier</span></code></a></p>
|
||
<p>The most basic Quantification method. One that simply classifies all instances and countes how many have been
|
||
attributed each of the classes in order to compute class prevalence estimates.</p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.CC.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_predictions</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.CC.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.CC.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.CC.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Trains the Classify & Count method unless _fit_learner_ is False, in which case it is assumed to be already fit.
|
||
:param data: training data
|
||
:param fit_learner: if False, the classifier is assumed to be fit
|
||
:return: self</p>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ClassifyAndCount">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ClassifyAndCount</span></span><a class="headerlink" href="#quapy.method.aggregative.ClassifyAndCount" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.CC" title="quapy.method.aggregative.CC"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.CC</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ELM">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ELM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">svmperf_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'01'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ELM" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeQuantifier" title="quapy.method.aggregative.AggregativeQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeQuantifier</span></code></a>, <a class="reference internal" href="#quapy.method.base.BinaryQuantifier" title="quapy.method.base.BinaryQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BinaryQuantifier</span></code></a></p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ELM.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_predictions</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ELM.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ELM.classify">
|
||
<span class="sig-name descname"><span class="pre">classify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ELM.classify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ELM.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ELM.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.EMQ">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">EMQ</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.EMQ" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier" title="quapy.method.aggregative.AggregativeProbabilisticQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeProbabilisticQuantifier</span></code></a></p>
|
||
<p>The method is described in:
|
||
Saerens, M., Latinne, P., and Decaestecker, C. (2002).
|
||
Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure.
|
||
Neural Computation, 14(1): 21–41.</p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.EMQ.EM">
|
||
<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">EM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tr_prev</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">posterior_probabilities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.EMQ.EM" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.EMQ.EPSILON">
|
||
<span class="sig-name descname"><span class="pre">EPSILON</span></span><em class="property"> <span class="pre">=</span> <span class="pre">0.0001</span></em><a class="headerlink" href="#quapy.method.aggregative.EMQ.EPSILON" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.EMQ.MAX_ITER">
|
||
<span class="sig-name descname"><span class="pre">MAX_ITER</span></span><em class="property"> <span class="pre">=</span> <span class="pre">1000</span></em><a class="headerlink" href="#quapy.method.aggregative.EMQ.MAX_ITER" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.EMQ.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_posteriors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.EMQ.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.EMQ.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.EMQ.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.EMQ.predict_proba">
|
||
<span class="sig-name descname"><span class="pre">predict_proba</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.EMQ.predict_proba" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ExpectationMaximizationQuantifier">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ExpectationMaximizationQuantifier</span></span><a class="headerlink" href="#quapy.method.aggregative.ExpectationMaximizationQuantifier" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.EMQ" title="quapy.method.aggregative.EMQ"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.EMQ</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ExplicitLossMinimisation">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ExplicitLossMinimisation</span></span><a class="headerlink" href="#quapy.method.aggregative.ExplicitLossMinimisation" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.ELM" title="quapy.method.aggregative.ELM"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ELM</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.HDy">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">HDy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.HDy" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier" title="quapy.method.aggregative.AggregativeProbabilisticQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeProbabilisticQuantifier</span></code></a>, <a class="reference internal" href="#quapy.method.base.BinaryQuantifier" title="quapy.method.base.BinaryQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BinaryQuantifier</span></code></a></p>
|
||
<p>Implementation of the method based on the Hellinger Distance y (HDy) proposed by
|
||
González-Castro, V., Alaiz-Rodrı́guez, R., and Alegre, E. (2013). Class distribution
|
||
estimation based on the Hellinger distance. Information Sciences, 218:146–164.</p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.HDy.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_posteriors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.HDy.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.HDy.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.HDy.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Trains a HDy quantifier
|
||
:param data: the training set
|
||
:param fit_learner: set to False to bypass the training (the learner is assumed to be already fit)
|
||
:param val_split: either a float in (0,1) indicating the proportion of training instances to use for</p>
|
||
<blockquote>
|
||
<div><p>validation (e.g., 0.3 for using 30% of the training set as validation data), or a LabelledCollection
|
||
indicating the validation set itself</p>
|
||
</div></blockquote>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Returns</dt>
|
||
<dd class="field-odd"><p>self</p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.HellingerDistanceY">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">HellingerDistanceY</span></span><a class="headerlink" href="#quapy.method.aggregative.HellingerDistanceY" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.HDy" title="quapy.method.aggregative.HDy"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.HDy</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.MAX">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">MAX</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.MAX" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ThresholdOptimization" title="quapy.method.aggregative.ThresholdOptimization"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ThresholdOptimization</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.MS">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">MS</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.MS" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ThresholdOptimization" title="quapy.method.aggregative.ThresholdOptimization"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ThresholdOptimization</span></code></a></p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.MS.optimize_threshold">
|
||
<span class="sig-name descname"><span class="pre">optimize_threshold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probabilities</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.MS.optimize_threshold" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.MS2">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">MS2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.MS2" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.MS" title="quapy.method.aggregative.MS"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.MS</span></code></a></p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.MS2.optimize_threshold">
|
||
<span class="sig-name descname"><span class="pre">optimize_threshold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probabilities</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.MS2.optimize_threshold" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.MedianSweep">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">MedianSweep</span></span><a class="headerlink" href="#quapy.method.aggregative.MedianSweep" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.MS" title="quapy.method.aggregative.MS"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.MS</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.MedianSweep2">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">MedianSweep2</span></span><a class="headerlink" href="#quapy.method.aggregative.MedianSweep2" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.MS2" title="quapy.method.aggregative.MS2"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.MS2</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">OneVsAll</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">binary_quantifier</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeQuantifier" title="quapy.method.aggregative.AggregativeQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeQuantifier</span></code></a></p>
|
||
<p>Allows any binary quantifier to perform quantification on single-label datasets. The method maintains one binary
|
||
quantifier for each class, and then l1-normalizes the outputs so that the class prevelences sum up to 1.
|
||
This variant was used, along with the ExplicitLossMinimization quantifier in
|
||
Gao, W., Sebastiani, F.: From classification to quantification in tweet sentiment analysis.
|
||
Social Network Analysis and Mining 6(19), 1–22 (2016)</p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_predictions_bin</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.binary">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">binary</span></span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.binary" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.classes_">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">classes_</span></span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.classes_" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.classify">
|
||
<span class="sig-name descname"><span class="pre">classify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.classify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.get_params">
|
||
<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.get_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.posterior_probabilities">
|
||
<span class="sig-name descname"><span class="pre">posterior_probabilities</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.posterior_probabilities" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.probabilistic">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">probabilistic</span></span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.probabilistic" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.quantify">
|
||
<span class="sig-name descname"><span class="pre">quantify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.quantify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.OneVsAll.set_params">
|
||
<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.OneVsAll.set_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.PACC">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">PACC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.PACC" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier" title="quapy.method.aggregative.AggregativeProbabilisticQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeProbabilisticQuantifier</span></code></a></p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.PACC.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_posteriors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.PACC.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.PACC.classify">
|
||
<span class="sig-name descname"><span class="pre">classify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.PACC.classify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.PACC.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.PACC.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Trains a PACC quantifier
|
||
:param data: the training set
|
||
:param fit_learner: set to False to bypass the training (the learner is assumed to be already fit)
|
||
:param val_split: either a float in (0,1) indicating the proportion of training instances to use for</p>
|
||
<blockquote>
|
||
<div><p>validation (e.g., 0.3 for using 30% of the training set as validation data), or a LabelledCollection
|
||
indicating the validation set itself, or an int indicating the number k of folds to be used in kFCV
|
||
to estimate the parameters</p>
|
||
</div></blockquote>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Returns</dt>
|
||
<dd class="field-odd"><p>self</p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.PCC">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">PCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.PCC" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeProbabilisticQuantifier" title="quapy.method.aggregative.AggregativeProbabilisticQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeProbabilisticQuantifier</span></code></a></p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.PCC.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_posteriors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.PCC.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.PCC.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.PCC.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ProbabilisticAdjustedClassifyAndCount">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ProbabilisticAdjustedClassifyAndCount</span></span><a class="headerlink" href="#quapy.method.aggregative.ProbabilisticAdjustedClassifyAndCount" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.PACC" title="quapy.method.aggregative.PACC"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.PACC</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ProbabilisticClassifyAndCount">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ProbabilisticClassifyAndCount</span></span><a class="headerlink" href="#quapy.method.aggregative.ProbabilisticClassifyAndCount" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>alias of <a class="reference internal" href="#quapy.method.aggregative.PCC" title="quapy.method.aggregative.PCC"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.PCC</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.SVMAE">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">SVMAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">svmperf_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.SVMAE" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ELM" title="quapy.method.aggregative.ELM"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ELM</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.SVMKLD">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">SVMKLD</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">svmperf_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.SVMKLD" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ELM" title="quapy.method.aggregative.ELM"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ELM</span></code></a></p>
|
||
<p>Esuli, A. and Sebastiani, F. (2015).
|
||
Optimizing text quantifiers for multivariate loss functions.
|
||
ACM Transactions on Knowledge Discovery and Data, 9(4):Article 27.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.SVMNKLD">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">SVMNKLD</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">svmperf_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.SVMNKLD" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ELM" title="quapy.method.aggregative.ELM"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ELM</span></code></a></p>
|
||
<p>Esuli, A. and Sebastiani, F. (2015).
|
||
Optimizing text quantifiers for multivariate loss functions.
|
||
ACM Transactions on Knowledge Discovery and Data, 9(4):Article 27.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.SVMQ">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">SVMQ</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">svmperf_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.SVMQ" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ELM" title="quapy.method.aggregative.ELM"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ELM</span></code></a></p>
|
||
<p>Barranquero, J., Díez, J., and del Coz, J. J. (2015).
|
||
Quantification-oriented learning based on reliable classifiers.
|
||
Pattern Recognition, 48(2):591–604.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.SVMRAE">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">SVMRAE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">svmperf_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.SVMRAE" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ELM" title="quapy.method.aggregative.ELM"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ELM</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.T50">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">T50</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.T50" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ThresholdOptimization" title="quapy.method.aggregative.ThresholdOptimization"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ThresholdOptimization</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ThresholdOptimization">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">ThresholdOptimization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ThresholdOptimization" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.AggregativeQuantifier" title="quapy.method.aggregative.AggregativeQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.AggregativeQuantifier</span></code></a>, <a class="reference internal" href="#quapy.method.base.BinaryQuantifier" title="quapy.method.base.BinaryQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BinaryQuantifier</span></code></a></p>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ThresholdOptimization.aggregate">
|
||
<span class="sig-name descname"><span class="pre">aggregate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">classif_predictions</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ThresholdOptimization.aggregate" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ThresholdOptimization.compute_fpr">
|
||
<span class="sig-name descname"><span class="pre">compute_fpr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">FP</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">TN</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ThresholdOptimization.compute_fpr" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ThresholdOptimization.compute_table">
|
||
<span class="sig-name descname"><span class="pre">compute_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ThresholdOptimization.compute_table" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ThresholdOptimization.compute_tpr">
|
||
<span class="sig-name descname"><span class="pre">compute_tpr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">TP</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FP</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ThresholdOptimization.compute_tpr" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ThresholdOptimization.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ThresholdOptimization.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.ThresholdOptimization.optimize_threshold">
|
||
<span class="sig-name descname"><span class="pre">optimize_threshold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probabilities</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.ThresholdOptimization.optimize_threshold" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.X">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">X</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">sklearn.base.BaseEstimator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.X" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.aggregative.ThresholdOptimization" title="quapy.method.aggregative.ThresholdOptimization"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.aggregative.ThresholdOptimization</span></code></a></p>
|
||
</dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.aggregative.training_helper">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.aggregative.</span></span><span class="sig-name descname"><span class="pre">training_helper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ensure_probabilistic</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.aggregative.training_helper" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Training procedure common to all Aggregative Quantifiers.
|
||
:param learner: the learner to be fit
|
||
:param data: the data on which to fit the learner. If requested, the data will be split before fitting the learner.
|
||
:param fit_learner: whether or not to fit the learner (if False, then bypasses any action)
|
||
:param ensure_probabilistic: if True, guarantees that the resulting classifier implements predict_proba (if the
|
||
learner is not probabilistic, then a CalibratedCV instance of it is trained)
|
||
:param val_split: if specified as a float, indicates the proportion of training instances that will define the
|
||
validation split (e.g., 0.3 for using 30% of the training set as validation data); if specified as a
|
||
LabelledCollection, represents the validation split itself
|
||
:return: the learner trained on the training set, and the unused data (a _LabelledCollection_ if train_val_split>0
|
||
or None otherwise) to be used as a validation set for any subsequent parameter fitting</p>
|
||
</dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-quapy.method.base">
|
||
<span id="quapy-method-base-module"></span><h2>quapy.method.base module<a class="headerlink" href="#module-quapy.method.base" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.base.</span></span><span class="sig-name descname"><span class="pre">BaseQuantifier</span></span><a class="headerlink" href="#quapy.method.base.BaseQuantifier" title="Permalink 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 property">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.aggregative">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">aggregative</span></span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.aggregative" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.binary">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">binary</span></span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.binary" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.classes_">
|
||
<em class="property"><span class="pre">abstract</span> <span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">classes_</span></span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.classes_" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.fit">
|
||
<em class="property"><span class="pre">abstract</span> </em><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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.get_params">
|
||
<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.get_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.probabilistic">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">probabilistic</span></span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.probabilistic" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.quantify">
|
||
<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">quantify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.quantify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BaseQuantifier.set_params">
|
||
<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.base.BaseQuantifier.set_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BinaryQuantifier">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.base.</span></span><span class="sig-name descname"><span class="pre">BinaryQuantifier</span></span><a class="headerlink" href="#quapy.method.base.BinaryQuantifier" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BaseQuantifier</span></code></a></p>
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.base.BinaryQuantifier.binary">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">binary</span></span><a class="headerlink" href="#quapy.method.base.BinaryQuantifier.binary" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.base.isaggregative">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.base.</span></span><span class="sig-name descname"><span class="pre">isaggregative</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><span class="pre">quapy.method.base.BaseQuantifier</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.base.isaggregative" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.base.isbinary">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.base.</span></span><span class="sig-name descname"><span class="pre">isbinary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><span class="pre">quapy.method.base.BaseQuantifier</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.base.isbinary" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.base.isprobabilistic">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.base.</span></span><span class="sig-name descname"><span class="pre">isprobabilistic</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><span class="pre">quapy.method.base.BaseQuantifier</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.base.isprobabilistic" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-quapy.method.meta">
|
||
<span id="quapy-method-meta-module"></span><h2>quapy.method.meta module<a class="headerlink" href="#module-quapy.method.meta" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.EACC">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">EACC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_mod_sel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.EACC" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.ECC">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">ECC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_mod_sel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.ECC" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.EEMQ">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">EEMQ</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_mod_sel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.EEMQ" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.EHDy">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">EHDy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_mod_sel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.EHDy" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.EPACC">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">EPACC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_mod_sel</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.EPACC" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">Ensemble</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">quantifier</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><span class="pre">quapy.method.base.BaseQuantifier</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">red_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_pos</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'ave'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_sample_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BaseQuantifier</span></code></a></p>
|
||
<dl class="py attribute">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.VALID_POLICIES">
|
||
<span class="sig-name descname"><span class="pre">VALID_POLICIES</span></span><em class="property"> <span class="pre">=</span> <span class="pre">{'ave',</span> <span class="pre">'ds',</span> <span class="pre">'mae',</span> <span class="pre">'mkld',</span> <span class="pre">'mnkld',</span> <span class="pre">'mrae',</span> <span class="pre">'mse',</span> <span class="pre">'ptr'}</span></em><a class="headerlink" href="#quapy.method.meta.Ensemble.VALID_POLICIES" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Methods from the articles:
|
||
Pérez-Gállego, P., Quevedo, J. R., & del Coz, J. J. (2017).
|
||
Using ensembles for problems with characterizable changes in data distribution: A case study on quantification.
|
||
Information Fusion, 34, 87-100.
|
||
and
|
||
Pérez-Gállego, P., Castano, A., Quevedo, J. R., & del Coz, J. J. (2019).
|
||
Dynamic ensemble selection for quantification tasks.
|
||
Information Fusion, 45, 1-15.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.accuracy_policy">
|
||
<span class="sig-name descname"><span class="pre">accuracy_policy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">error_name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.accuracy_policy" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Selects the red_size best performant quantifiers in a static way (i.e., dropping all non-selected instances).
|
||
For each model in the ensemble, the performance is measured in terms of _error_name_ on the quantification of
|
||
the samples used for training the rest of the models in the ensemble.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.aggregative">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">aggregative</span></span><a class="headerlink" href="#quapy.method.meta.Ensemble.aggregative" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.binary">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">binary</span></span><a class="headerlink" href="#quapy.method.meta.Ensemble.binary" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.classes_">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">classes_</span></span><a class="headerlink" href="#quapy.method.meta.Ensemble.classes_" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.ds_policy">
|
||
<span class="sig-name descname"><span class="pre">ds_policy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.ds_policy" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.ds_policy_get_posteriors">
|
||
<span class="sig-name descname"><span class="pre">ds_policy_get_posteriors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.ds_policy_get_posteriors" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>In the original article, this procedure is not described in a sufficient level of detail. The paper only says
|
||
that the distribution of posterior probabilities from training and test examples is compared by means of the
|
||
Hellinger Distance. However, how these posterior probabilities are generated is not specified. In the article,
|
||
a Logistic Regressor (LR) is used as the classifier device and that could be used for this purpose. However, in
|
||
general, a Quantifier is not necessarily an instance of Aggreggative Probabilistic Quantifiers, and so, that the
|
||
quantifier builds on top of a probabilistic classifier cannot be given for granted. Additionally, it would not
|
||
be correct to generate the posterior probabilities for training documents that have concurred in training the
|
||
classifier that generates them.
|
||
This function thus generates the posterior probabilities for all training documents in a cross-validation way,
|
||
using a LR with hyperparameters that have previously been optimized via grid search in 5FCV.
|
||
:return P,f, where P is a ndarray containing the posterior probabilities of the training data, generated via
|
||
cross-validation and using an optimized LR, and the function to be used in order to generate posterior
|
||
probabilities for test instances.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.get_params">
|
||
<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.get_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.probabilistic">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">probabilistic</span></span><a class="headerlink" href="#quapy.method.meta.Ensemble.probabilistic" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.ptr_policy">
|
||
<span class="sig-name descname"><span class="pre">ptr_policy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.ptr_policy" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Selects the predictions made by models that have been trained on samples with a prevalence that is most similar
|
||
to a first approximation of the test prevalence as made by all models in the ensemble.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.quantify">
|
||
<span class="sig-name descname"><span class="pre">quantify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.quantify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.set_params">
|
||
<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.set_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.Ensemble.sout">
|
||
<span class="sig-name descname"><span class="pre">sout</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">msg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.Ensemble.sout" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.ensembleFactory">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">ensembleFactory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_quantifier_class</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_grid</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optim</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_model_sel</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.ensembleFactory" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.meta.get_probability_distribution">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.meta.</span></span><span class="sig-name descname"><span class="pre">get_probability_distribution</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">posterior_probabilities</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.meta.get_probability_distribution" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-quapy.method.neural">
|
||
<span id="quapy-method-neural-module"></span><h2>quapy.method.neural module<a class="headerlink" href="#module-quapy.method.neural" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetModule">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.neural.</span></span><span class="sig-name descname"><span class="pre">QuaNetModule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">doc_embedding_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_classes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stats_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lstm_hidden_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lstm_nlayers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ff_layers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[1024,</span> <span class="pre">512]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bidirectional</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qdrop_p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order_by</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetModule" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.modules.module.Module</span></code></p>
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetModule.device">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#quapy.method.neural.QuaNetModule.device" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetModule.forward">
|
||
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">doc_embeddings</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">doc_posteriors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">statistics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetModule.forward" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Defines the computation performed at every call.</p>
|
||
<p>Should be overridden by all subclasses.</p>
|
||
<div class="admonition note">
|
||
<p class="admonition-title">Note</p>
|
||
<p>Although the recipe for forward pass needs to be defined within
|
||
this function, one should call the <code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code> instance afterwards
|
||
instead of this since the former takes care of running the
|
||
registered hooks while the latter silently ignores them.</p>
|
||
</div>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetModule.init_hidden">
|
||
<span class="sig-name descname"><span class="pre">init_hidden</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetModule.init_hidden" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.neural.</span></span><span class="sig-name descname"><span class="pre">QuaNetTrainer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">learner</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epochs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tr_iter_per_poch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">va_iter_per_poch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lstm_hidden_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lstm_nlayers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ff_layers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">[1024,</span> <span class="pre">512]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bidirectional</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qdrop_p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">patience</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpointdir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'../checkpoint'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpointname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cuda'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BaseQuantifier</span></code></a></p>
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.classes_">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">classes_</span></span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.classes_" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.clean_checkpoint">
|
||
<span class="sig-name descname"><span class="pre">clean_checkpoint</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.clean_checkpoint" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.clean_checkpoint_dir">
|
||
<span class="sig-name descname"><span class="pre">clean_checkpoint_dir</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.clean_checkpoint_dir" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.epoch">
|
||
<span class="sig-name descname"><span class="pre">epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">posteriors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterations</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.epoch" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_learner</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd><dl class="field-list simple">
|
||
<dt class="field-odd">Parameters</dt>
|
||
<dd class="field-odd"><p><strong>data</strong> – the training data on which to train QuaNet. If fit_learner=True, the data will be split in</p>
|
||
</dd>
|
||
</dl>
|
||
<p>40/40/20 for training the classifier, training QuaNet, and validating QuaNet, respectively. If
|
||
fit_learner=False, the data will be split in 66/34 for training QuaNet and validating it, respectively.
|
||
:param fit_learner: if true, trains the classifier on a split containing 40% of the data
|
||
:return: self</p>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.get_aggregative_estims">
|
||
<span class="sig-name descname"><span class="pre">get_aggregative_estims</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">posteriors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.get_aggregative_estims" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.get_params">
|
||
<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.get_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.quantify">
|
||
<span class="sig-name descname"><span class="pre">quantify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.quantify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.QuaNetTrainer.set_params">
|
||
<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.QuaNetTrainer.set_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py function">
|
||
<dt class="sig sig-object py" id="quapy.method.neural.mae_loss">
|
||
<span class="sig-prename descclassname"><span class="pre">quapy.method.neural.</span></span><span class="sig-name descname"><span class="pre">mae_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.neural.mae_loss" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-quapy.method.non_aggregative">
|
||
<span id="quapy-method-non-aggregative-module"></span><h2>quapy.method.non_aggregative module<a class="headerlink" href="#module-quapy.method.non_aggregative" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation">
|
||
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">quapy.method.non_aggregative.</span></span><span class="sig-name descname"><span class="pre">MaximumLikelihoodPrevalenceEstimation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Bases: <a class="reference internal" href="#quapy.method.base.BaseQuantifier" title="quapy.method.base.BaseQuantifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">quapy.method.base.BaseQuantifier</span></code></a></p>
|
||
<dl class="py property">
|
||
<dt class="sig sig-object py" id="quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.classes_">
|
||
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">classes_</span></span><a class="headerlink" href="#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.classes_" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.fit">
|
||
<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">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="quapy.data.html#quapy.data.base.LabelledCollection" title="quapy.data.base.LabelledCollection"><span class="pre">quapy.data.base.LabelledCollection</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.fit" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.get_params">
|
||
<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.get_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.quantify">
|
||
<span class="sig-name descname"><span class="pre">quantify</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">documents</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.quantify" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.set_params">
|
||
<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation.set_params" title="Permalink to this definition">¶</a></dt>
|
||
<dd></dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-quapy.method">
|
||
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-quapy.method" title="Permalink to this headline">¶</a></h2>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
<div class="clearer"></div>
|
||
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|
||
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|
||
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|
||
<div class="sphinxsidebar" role="navigation" aria-label="main navigation">
|
||
<div class="sphinxsidebarwrapper">
|
||
<h3><a href="index.html">Table of Contents</a></h3>
|
||
<ul>
|
||
<li><a class="reference internal" href="#">quapy.method package</a><ul>
|
||
<li><a class="reference internal" href="#submodules">Submodules</a></li>
|
||
<li><a class="reference internal" href="#module-quapy.method.aggregative">quapy.method.aggregative module</a></li>
|
||
<li><a class="reference internal" href="#module-quapy.method.base">quapy.method.base module</a></li>
|
||
<li><a class="reference internal" href="#module-quapy.method.meta">quapy.method.meta module</a></li>
|
||
<li><a class="reference internal" href="#module-quapy.method.neural">quapy.method.neural module</a></li>
|
||
<li><a class="reference internal" href="#module-quapy.method.non_aggregative">quapy.method.non_aggregative module</a></li>
|
||
<li><a class="reference internal" href="#module-quapy.method">Module contents</a></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
|
||
<h4>Previous topic</h4>
|
||
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|
||
title="previous chapter">quapy.data package</a></p>
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|
||
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