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<div class="subTitle">org.apache.spark.mllib.clustering</div>
<h2 title="Class DistributedLDAModel" class="title">Class DistributedLDAModel</h2>
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<ul class="inheritance">
<li>Object</li>
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<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">org.apache.spark.mllib.clustering.LDAModel</a></li>
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<li>org.apache.spark.mllib.clustering.DistributedLDAModel</li>
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<dt>All Implemented Interfaces:</dt>
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<pre>public class <span class="typeNameLabel">DistributedLDAModel</span>
extends <a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></pre>
<div class="block">Distributed LDA model.
This model stores the inferred topics, the full training dataset, and the topic distributions.</div>
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<h3>Method Summary</h3>
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<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tr id="i0" class="altColor">
<td class="colFirst"><code>scala.Tuple2&lt;int[],double[]&gt;[]</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#describeTopics-int-">describeTopics</a></span>(int&nbsp;maxTermsPerTopic)</code>
<div class="block">Return the topics described by weighted terms.</div>
</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#docConcentration--">docConcentration</a></span>()</code>
<div class="block">Concentration parameter (commonly named "alpha") for the prior placed on documents'
distributions over topics ("theta").</div>
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<tr id="i2" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;scala.Tuple3&lt;Long,int[],int[]&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#javaTopicAssignments--">javaTopicAssignments</a></span>()</code>&nbsp;</td>
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<tr id="i3" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaPairRDD.html" title="class in org.apache.spark.api.java">JavaPairRDD</a>&lt;Long,<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#javaTopicDistributions--">javaTopicDistributions</a></span>()</code>
<div class="block">Java-friendly version of <code>topicDistributions</code></div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;scala.Tuple3&lt;Long,int[],double[]&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#javaTopTopicsPerDocument-int-">javaTopTopicsPerDocument</a></span>(int&nbsp;k)</code>
<div class="block">Java-friendly version of <code>topTopicsPerDocument</code></div>
</td>
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<tr id="i5" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#k--">k</a></span>()</code>
<div class="block">Number of topics</div>
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<tr id="i6" class="altColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html" title="class in org.apache.spark.mllib.clustering">DistributedLDAModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#load-org.apache.spark.SparkContext-java.lang.String-">load</a></span>(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
String&nbsp;path)</code>&nbsp;</td>
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<tr id="i7" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#logLikelihood--">logLikelihood</a></span>()</code>&nbsp;</td>
</tr>
<tr id="i8" class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#logPrior--">logPrior</a></span>()</code>&nbsp;</td>
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<tr id="i9" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#save-org.apache.spark.SparkContext-java.lang.String-">save</a></span>(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
String&nbsp;path)</code>
<div class="block">Save this model to the given path.</div>
</td>
</tr>
<tr id="i10" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/clustering/LocalLDAModel.html" title="class in org.apache.spark.mllib.clustering">LocalLDAModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#toLocal--">toLocal</a></span>()</code>
<div class="block">Convert model to a local model.</div>
</td>
</tr>
<tr id="i11" class="rowColor">
<td class="colFirst"><code>scala.Tuple2&lt;long[],double[]&gt;[]</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#topDocumentsPerTopic-int-">topDocumentsPerTopic</a></span>(int&nbsp;maxDocumentsPerTopic)</code>
<div class="block">Return the top documents for each topic</div>
</td>
</tr>
<tr id="i12" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;scala.Tuple3&lt;Object,int[],int[]&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#topicAssignments--">topicAssignments</a></span>()</code>&nbsp;</td>
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<tr id="i13" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#topicConcentration--">topicConcentration</a></span>()</code>
<div class="block">Concentration parameter (commonly named "beta" or "eta") for the prior placed on topics'
distributions over terms.</div>
</td>
</tr>
<tr id="i14" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;scala.Tuple2&lt;Object,<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#topicDistributions--">topicDistributions</a></span>()</code>
<div class="block">For each document in the training set, return the distribution over topics for that document
("theta_doc").</div>
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<tr id="i15" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#topicsMatrix--">topicsMatrix</a></span>()</code>
<div class="block">Inferred topics, where each topic is represented by a distribution over terms.</div>
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<tr id="i16" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;scala.Tuple3&lt;Object,int[],double[]&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#topTopicsPerDocument-int-">topTopicsPerDocument</a></span>(int&nbsp;k)</code>
<div class="block">For each document, return the top k weighted topics for that document and their weights.</div>
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<tr id="i17" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html#vocabSize--">vocabSize</a></span>()</code>
<div class="block">Vocabulary size (number of terms or terms in the vocabulary)</div>
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<h3>Methods inherited from class&nbsp;org.apache.spark.mllib.clustering.<a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></h3>
<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#describeTopics--">describeTopics</a></code></li>
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<h3>Methods inherited from class&nbsp;Object</h3>
<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<h4>load</h4>
<pre>public static&nbsp;<a href="../../../../../org/apache/spark/mllib/clustering/DistributedLDAModel.html" title="class in org.apache.spark.mllib.clustering">DistributedLDAModel</a>&nbsp;load(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
String&nbsp;path)</pre>
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<h4>k</h4>
<pre>public&nbsp;int&nbsp;k()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#k--">LDAModel</a></code></span></div>
<div class="block">Number of topics</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#k--">k</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></code></dd>
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<pre>public&nbsp;int&nbsp;vocabSize()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#vocabSize--">LDAModel</a></code></span></div>
<div class="block">Vocabulary size (number of terms or terms in the vocabulary)</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#vocabSize--">vocabSize</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></code></dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;docConcentration()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#docConcentration--">LDAModel</a></code></span></div>
<div class="block">Concentration parameter (commonly named "alpha") for the prior placed on documents'
distributions over topics ("theta").
<p>
This is the parameter to a Dirichlet distribution.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#docConcentration--">docConcentration</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></code></dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<pre>public&nbsp;double&nbsp;topicConcentration()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#topicConcentration--">LDAModel</a></code></span></div>
<div class="block">Concentration parameter (commonly named "beta" or "eta") for the prior placed on topics'
distributions over terms.
<p>
This is the parameter to a symmetric Dirichlet distribution.
<p></div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#topicConcentration--">topicConcentration</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></code></dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<h4>toLocal</h4>
<pre>public&nbsp;<a href="../../../../../org/apache/spark/mllib/clustering/LocalLDAModel.html" title="class in org.apache.spark.mllib.clustering">LocalLDAModel</a>&nbsp;toLocal()</pre>
<div class="block">Convert model to a local model.
The local model stores the inferred topics but not the topic distributions for training
documents.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
</dl>
</li>
</ul>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a>&nbsp;topicsMatrix()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#topicsMatrix--">LDAModel</a></code></span></div>
<div class="block">Inferred topics, where each topic is represented by a distribution over terms.
This is a matrix of size vocabSize x k, where each column is a topic.
No guarantees are given about the ordering of the topics.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#topicsMatrix--">topicsMatrix</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></code></dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<pre>public&nbsp;scala.Tuple2&lt;int[],double[]&gt;[]&nbsp;describeTopics(int&nbsp;maxTermsPerTopic)</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#describeTopics-int-">LDAModel</a></code></span></div>
<div class="block">Return the topics described by weighted terms.
<p></div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html#describeTopics-int-">describeTopics</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/clustering/LDAModel.html" title="class in org.apache.spark.mllib.clustering">LDAModel</a></code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>maxTermsPerTopic</code> - Maximum number of terms to collect for each topic.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>Array over topics. Each topic is represented as a pair of matching arrays:
(term indices, term weights in topic).
Each topic's terms are sorted in order of decreasing weight.</dd>
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<pre>public&nbsp;scala.Tuple2&lt;long[],double[]&gt;[]&nbsp;topDocumentsPerTopic(int&nbsp;maxDocumentsPerTopic)</pre>
<div class="block">Return the top documents for each topic
<p></div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>maxDocumentsPerTopic</code> - Maximum number of documents to collect for each topic.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>Array over topics. Each element represent as a pair of matching arrays:
(IDs for the documents, weights of the topic in these documents).
For each topic, documents are sorted in order of decreasing topic weights.</dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;scala.Tuple3&lt;Object,int[],int[]&gt;&gt;&nbsp;topicAssignments()</pre>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;scala.Tuple3&lt;Long,int[],int[]&gt;&gt;&nbsp;javaTopicAssignments()</pre>
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<pre>public&nbsp;double&nbsp;logLikelihood()</pre>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;scala.Tuple2&lt;Object,<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&gt;&nbsp;topicDistributions()</pre>
<div class="block">For each document in the training set, return the distribution over topics for that document
("theta_doc").
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<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>RDD of (document ID, topic distribution) pairs</dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/api/java/JavaPairRDD.html" title="class in org.apache.spark.api.java">JavaPairRDD</a>&lt;Long,<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&gt;&nbsp;javaTopicDistributions()</pre>
<div class="block">Java-friendly version of <code>topicDistributions</code></div>
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<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a>&lt;scala.Tuple3&lt;Object,int[],double[]&gt;&gt;&nbsp;topTopicsPerDocument(int&nbsp;k)</pre>
<div class="block">For each document, return the top k weighted topics for that document and their weights.</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>k</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a>&lt;scala.Tuple3&lt;Long,int[],double[]&gt;&gt;&nbsp;javaTopTopicsPerDocument(int&nbsp;k)</pre>
<div class="block">Java-friendly version of <code>topTopicsPerDocument</code></div>
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<dd><code>k</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<pre>public&nbsp;void&nbsp;save(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
String&nbsp;path)</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from interface:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html#save-org.apache.spark.SparkContext-java.lang.String-">Saveable</a></code></span></div>
<div class="block">Save this model to the given path.
<p>
This saves:
- human-readable (JSON) model metadata to path/metadata/
- Parquet formatted data to path/data/
<p>
The model may be loaded using <code>Loader.load</code>.
<p></div>
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<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>sc</code> - Spark context used to save model data.</dd>
<dd><code>path</code> - Path specifying the directory in which to save this model.
If the directory already exists, this method throws an exception.</dd>
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