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<div class="subTitle">org.apache.spark.mllib.linalg.distributed</div>
<h2 title="Class IndexedRowMatrix" class="title">Class IndexedRowMatrix</h2>
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<li>java.lang.Object</li>
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<li>org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix</li>
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<dt>All Implemented Interfaces:</dt>
<dd>java.io.Serializable, <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html" title="interface in org.apache.spark.mllib.linalg.distributed">DistributedMatrix</a></dd>
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<pre>public class <span class="strong">IndexedRowMatrix</span>
extends java.lang.Object
implements <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html" title="interface in org.apache.spark.mllib.linalg.distributed">DistributedMatrix</a></pre>
<div class="block">:: Experimental ::
Represents a row-oriented <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html" title="interface in org.apache.spark.mllib.linalg.distributed"><code>DistributedMatrix</code></a> with
indexed rows.
<p>
param: rows indexed rows of this matrix
param: nRows number of rows. A non-positive value means unknown, and then the number of rows will
be determined by the max row index plus one.
param: nCols number of columns. A non-positive value means unknown, and then the number of
columns will be determined by the size of the first row.</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../../serialized-form.html#org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix">Serialized Form</a></dd></dl>
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<th class="colOne" scope="col">Constructor and Description</th>
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<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#IndexedRowMatrix(org.apache.spark.rdd.RDD)">IndexedRowMatrix</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/distributed/IndexedRow.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRow</a>> rows)</code>
<div class="block">Alternative constructor leaving matrix dimensions to be determined automatically.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#IndexedRowMatrix(org.apache.spark.rdd.RDD, long, int)">IndexedRowMatrix</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/distributed/IndexedRow.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRow</a>> rows,
long nRows,
int nCols)</code> </td>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<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><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#computeGramianMatrix()">computeGramianMatrix</a></strong>()</code>
<div class="block">Computes the Gramian matrix <code>A^T A</code>.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/spark/mllib/linalg/SingularValueDecomposition.html" title="class in org.apache.spark.mllib.linalg">SingularValueDecomposition</a><<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRowMatrix</a>,<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><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#computeSVD(int, boolean, double)">computeSVD</a></strong>(int k,
boolean computeU,
double rCond)</code>
<div class="block">Computes the singular value decomposition of this IndexedRowMatrix.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRowMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#multiply(org.apache.spark.mllib.linalg.Matrix)">multiply</a></strong>(<a href="../../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> B)</code>
<div class="block">Multiply this matrix by a local matrix on the right.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>long</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#numCols()">numCols</a></strong>()</code>
<div class="block">Gets or computes the number of columns.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>long</code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#numRows()">numRows</a></strong>()</code>
<div class="block">Gets or computes the number of rows.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRow.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRow</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#rows()">rows</a></strong>()</code> </td>
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<td class="colFirst"><code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/BlockMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">BlockMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#toBlockMatrix()">toBlockMatrix</a></strong>()</code>
<div class="block">Converts to BlockMatrix.</div>
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<td class="colFirst"><code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/BlockMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">BlockMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#toBlockMatrix(int, int)">toBlockMatrix</a></strong>(int rowsPerBlock,
int colsPerBlock)</code>
<div class="block">Converts to BlockMatrix.</div>
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<td class="colFirst"><code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/CoordinateMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">CoordinateMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#toCoordinateMatrix()">toCoordinateMatrix</a></strong>()</code>
<div class="block">Converts this matrix to a
<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/CoordinateMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed"><code>CoordinateMatrix</code></a>.</div>
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<td class="colFirst"><code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/RowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">RowMatrix</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html#toRowMatrix()">toRowMatrix</a></strong>()</code>
<div class="block">Drops row indices and converts this matrix to a
<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/RowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed"><code>RowMatrix</code></a>.</div>
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<h3>Methods inherited from class java.lang.Object</h3>
<code>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<h4>IndexedRowMatrix</h4>
<pre>public IndexedRowMatrix(<a href="../../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRow.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRow</a>> rows,
long nRows,
int nCols)</pre>
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<pre>public IndexedRowMatrix(<a href="../../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRow.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRow</a>> rows)</pre>
<div class="block">Alternative constructor leaving matrix dimensions to be determined automatically.</div>
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<h4>rows</h4>
<pre>public <a href="../../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRow.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRow</a>> rows()</pre>
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<h4>numCols</h4>
<pre>public long numCols()</pre>
<div class="block"><strong>Description copied from interface: <code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html#numCols()">DistributedMatrix</a></code></strong></div>
<div class="block">Gets or computes the number of columns.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html#numCols()">numCols</a></code> in interface <code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html" title="interface in org.apache.spark.mllib.linalg.distributed">DistributedMatrix</a></code></dd>
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<pre>public long numRows()</pre>
<div class="block"><strong>Description copied from interface: <code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html#numRows()">DistributedMatrix</a></code></strong></div>
<div class="block">Gets or computes the number of rows.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html#numRows()">numRows</a></code> in interface <code><a href="../../../../../../org/apache/spark/mllib/linalg/distributed/DistributedMatrix.html" title="interface in org.apache.spark.mllib.linalg.distributed">DistributedMatrix</a></code></dd>
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<h4>toRowMatrix</h4>
<pre>public <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/RowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">RowMatrix</a> toRowMatrix()</pre>
<div class="block">Drops row indices and converts this matrix to a
<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/RowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed"><code>RowMatrix</code></a>.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>toBlockMatrix</h4>
<pre>public <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/BlockMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">BlockMatrix</a> toBlockMatrix()</pre>
<div class="block">Converts to BlockMatrix. Creates blocks of <code>SparseMatrix</code> with size 1024 x 1024.</div>
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<pre>public <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/BlockMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">BlockMatrix</a> toBlockMatrix(int rowsPerBlock,
int colsPerBlock)</pre>
<div class="block">Converts to BlockMatrix. Creates blocks of <code>SparseMatrix</code>.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>rowsPerBlock</code> - The number of rows of each block. The blocks at the bottom edge may have
a smaller value. Must be an integer value greater than 0.</dd><dd><code>colsPerBlock</code> - The number of columns of each block. The blocks at the right edge may have
a smaller value. Must be an integer value greater than 0.</dd>
<dt><span class="strong">Returns:</span></dt><dd>a <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/BlockMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed"><code>BlockMatrix</code></a></dd></dl>
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<h4>toCoordinateMatrix</h4>
<pre>public <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/CoordinateMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">CoordinateMatrix</a> toCoordinateMatrix()</pre>
<div class="block">Converts this matrix to a
<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/CoordinateMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed"><code>CoordinateMatrix</code></a>.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>computeSVD</h4>
<pre>public <a href="../../../../../../org/apache/spark/mllib/linalg/SingularValueDecomposition.html" title="class in org.apache.spark.mllib.linalg">SingularValueDecomposition</a><<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRowMatrix</a>,<a href="../../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a>> computeSVD(int k,
boolean computeU,
double rCond)</pre>
<div class="block">Computes the singular value decomposition of this IndexedRowMatrix.
Denote this matrix by A (m x n), this will compute matrices U, S, V such that A = U * S * V'.
<p>
The cost and implementation of this method is identical to that in
<a href="../../../../../../org/apache/spark/mllib/linalg/distributed/RowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed"><code>RowMatrix</code></a>
With the addition of indices.
<p>
At most k largest non-zero singular values and associated vectors are returned.
If there are k such values, then the dimensions of the return will be:
<p>
U is an <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed"><code>IndexedRowMatrix</code></a> of size m x k that
satisfies U'U = eye(k),
s is a Vector of size k, holding the singular values in descending order,
and V is a local Matrix of size n x k that satisfies V'V = eye(k).
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>k</code> - number of singular values to keep. We might return less than k if there are
numerically zero singular values. See rCond.</dd><dd><code>computeU</code> - whether to compute U</dd><dd><code>rCond</code> - the reciprocal condition number. All singular values smaller than rCond * sigma(0)
are treated as zero, where sigma(0) is the largest singular value.</dd>
<dt><span class="strong">Returns:</span></dt><dd>SingularValueDecomposition(U, s, V)</dd></dl>
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<h4>multiply</h4>
<pre>public <a href="../../../../../../org/apache/spark/mllib/linalg/distributed/IndexedRowMatrix.html" title="class in org.apache.spark.mllib.linalg.distributed">IndexedRowMatrix</a> multiply(<a href="../../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> B)</pre>
<div class="block">Multiply this matrix by a local matrix on the right.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>B</code> - a local matrix whose number of rows must match the number of columns of this matrix</dd>
<dt><span class="strong">Returns:</span></dt><dd>an IndexedRowMatrix representing the product, which preserves partitioning</dd></dl>
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<h4>computeGramianMatrix</h4>
<pre>public <a href="../../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> computeGramianMatrix()</pre>
<div class="block">Computes the Gramian matrix <code>A^T A</code>.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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