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  <div class="section" id="evaluator">
<h1>evaluator<a class="headerlink" href="#evaluator" title="永久链接至标题">¶</a></h1>
<div class="section" id="accuracy">
<h2>Accuracy<a class="headerlink" href="#accuracy" title="永久链接至标题">¶</a></h2>
<dl class="class">
<dt>
<em class="property">class </em><code class="descclassname">paddle.v2.fluid.evaluator.</code><code class="descname">Accuracy</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>k=1</em>, <em>**kwargs</em><span class="sig-paren">)</span></dt>
<dd><p>Average Accuracy for multiple mini-batches.</p>
</dd></dl>

</div>
<div class="section" id="chunkevaluator">
<h2>ChunkEvaluator<a class="headerlink" href="#chunkevaluator" title="永久链接至标题">¶</a></h2>
<dl class="class">
<dt>
<em class="property">class </em><code class="descclassname">paddle.v2.fluid.evaluator.</code><code class="descname">ChunkEvaluator</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>chunk_scheme</em>, <em>num_chunk_types</em>, <em>excluded_chunk_types=None</em><span class="sig-paren">)</span></dt>
<dd><p>Accumulate counter numbers output by chunk_eval from mini-batches and
compute the precision recall and F1-score using the accumulated counter
numbers.</p>
</dd></dl>

</div>
</div>


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