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<h2 title="Class PCAModel" class="title">Class PCAModel</h2>
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<pre>public class <span class="strong">PCAModel</span>
extends java.lang.Object
implements <a href="../../../../../org/apache/spark/mllib/feature/VectorTransformer.html" title="interface in org.apache.spark.mllib.feature">VectorTransformer</a></pre>
<div class="block">Model fitted by <a href="../../../../../org/apache/spark/mllib/feature/PCA.html" title="class in org.apache.spark.mllib.feature"><code>PCA</code></a> that can project vectors to a low-dimensional space using PCA.
 <p>
 param:  k number of principal components.
 param:  pc a principal components Matrix. Each column is one principal component.</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../serialized-form.html#org.apache.spark.mllib.feature.PCAModel">Serialized Form</a></dd></dl>
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<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html#k()">k</a></strong>()</code>&nbsp;</td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/linalg/DenseMatrix.html" title="class in org.apache.spark.mllib.linalg">DenseMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html#pc()">pc</a></strong>()</code>&nbsp;</td>
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<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><strong><a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html#transform(org.apache.spark.mllib.linalg.Vector)">transform</a></strong>(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;vector)</code>
<div class="block">Transform a vector by computed Principal Components.</div>
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<code><a href="../../../../../org/apache/spark/mllib/feature/VectorTransformer.html#transform(org.apache.spark.api.java.JavaRDD)">transform</a>, <a href="../../../../../org/apache/spark/mllib/feature/VectorTransformer.html#transform(org.apache.spark.rdd.RDD)">transform</a></code></li>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/mllib/linalg/DenseMatrix.html" title="class in org.apache.spark.mllib.linalg">DenseMatrix</a>&nbsp;pc()</pre>
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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;transform(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;vector)</pre>
<div class="block">Transform a vector by computed Principal Components.
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<dt><span class="strong">Parameters:</span></dt><dd><code>vector</code> - vector to be transformed.
               Vector must be the same length as the source vectors given to <code>PCA.fit()</code>.</dd>
<dt><span class="strong">Returns:</span></dt><dd>transformed vector. Vector will be of length k.</dd></dl>
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