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<h2 title="Class PCA" class="title">Class PCA</h2>
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<pre>public class <span class="strong">PCA</span>
extends java.lang.Object</pre>
<div class="block">A feature transformer that projects vectors to a low-dimensional space using PCA.
<p>
param: k number of principal components</div>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/spark/mllib/feature/PCA.html#PCA(int)">PCA</a></strong>(int k)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html" title="class in org.apache.spark.mllib.feature">PCAModel</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/feature/PCA.html#fit(org.apache.spark.api.java.JavaRDD)">fit</a></strong>(<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>> sources)</code>
<div class="block">Java-friendly version of <code>fit()</code></div>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html" title="class in org.apache.spark.mllib.feature">PCAModel</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/feature/PCA.html#fit(org.apache.spark.rdd.RDD)">fit</a></strong>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>> sources)</code>
<div class="block">Computes a <a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html" title="class in org.apache.spark.mllib.feature"><code>PCAModel</code></a> that contains the principal components of the input vectors.</div>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/feature/PCA.html#k()">k</a></strong>()</code> </td>
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<h4>PCA</h4>
<pre>public PCA(int k)</pre>
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<h4>k</h4>
<pre>public int k()</pre>
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<h4>fit</h4>
<pre>public <a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html" title="class in org.apache.spark.mllib.feature">PCAModel</a> fit(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>> sources)</pre>
<div class="block">Computes a <a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html" title="class in org.apache.spark.mllib.feature"><code>PCAModel</code></a> that contains the principal components of the input vectors.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>sources</code> - source vectors</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>fit</h4>
<pre>public <a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html" title="class in org.apache.spark.mllib.feature">PCAModel</a> fit(<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>> sources)</pre>
<div class="block">Java-friendly version of <code>fit()</code></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>sources</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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