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<h2 title="Class EMLDAOptimizer" class="title">Class EMLDAOptimizer</h2>
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<li>java.lang.Object</li>
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<pre>public final class <span class="strong">EMLDAOptimizer</span>
extends java.lang.Object
implements <a href="../../../../../org/apache/spark/mllib/clustering/LDAOptimizer.html" title="interface in org.apache.spark.mllib.clustering">LDAOptimizer</a></pre>
<div class="block">:: DeveloperApi ::
 <p>
 Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters.
 <p>
 Currently, the underlying implementation uses Expectation-Maximization (EM), implemented
 according to the Asuncion et al. (2009) paper referenced below.
 <p>
 References:
  - Original LDA paper (journal version):
    Blei, Ng, and Jordan.  "Latent Dirichlet Allocation."  JMLR, 2003.
     - This class implements their "smoothed" LDA model.
  - Paper which clearly explains several algorithms, including EM:
    Asuncion, Welling, Smyth, and Teh.
    "On Smoothing and Inference for Topic Models."  UAI, 2009.</div>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#EMLDAOptimizer()">EMLDAOptimizer</a></strong>()</code>&nbsp;</td>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#checkpointInterval()">checkpointInterval</a></strong>()</code>&nbsp;</td>
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<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#docConcentration()">docConcentration</a></strong>()</code>&nbsp;</td>
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<td class="colFirst"><code>breeze.linalg.DenseVector&lt;java.lang.Object&gt;</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#globalTopicTotals()">globalTopicTotals</a></strong>()</code>
<div class="block">Aggregate distributions over topics from all term vertices.</div>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a>&lt;breeze.linalg.DenseVector&lt;java.lang.Object&gt;,java.lang.Object&gt;</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#graph()">graph</a></strong>()</code>
<div class="block">The following fields will only be initialized through the initialize() method</div>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#k()">k</a></strong>()</code>&nbsp;</td>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#topicConcentration()">topicConcentration</a></strong>()</code>&nbsp;</td>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/clustering/EMLDAOptimizer.html#vocabSize()">vocabSize</a></strong>()</code>&nbsp;</td>
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<pre>public&nbsp;EMLDAOptimizer()</pre>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a>&lt;breeze.linalg.DenseVector&lt;java.lang.Object&gt;,java.lang.Object&gt;&nbsp;graph()</pre>
<div class="block">The following fields will only be initialized through the initialize() method</div>
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<pre>public&nbsp;breeze.linalg.DenseVector&lt;java.lang.Object&gt;&nbsp;globalTopicTotals()</pre>
<div class="block">Aggregate distributions over topics from all term vertices.
 <p>
 Note: This executes an action on the graph RDDs.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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