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<h2 title="Class Matrices" class="title">Class Matrices</h2>
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<pre>public class <span class="strong">Matrices</span>
extends java.lang.Object</pre>
<div class="block">Factory methods for <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg"><code>Matrix</code></a>.</div>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/spark/mllib/linalg/Matrices.html#Matrices()">Matrices</a></strong>()</code> </td>
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<td class="colFirst"><code>static <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/Matrices.html#dense(int, int, double[])">dense</a></strong>(int numRows,
int numCols,
double[] values)</code>
<div class="block">Creates a column-major dense matrix.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static <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/Matrices.html#diag(org.apache.spark.mllib.linalg.Vector)">diag</a></strong>(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a> vector)</code>
<div class="block">Generate a diagonal matrix in <code>Matrix</code> format from the supplied values.</div>
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<tr class="altColor">
<td class="colFirst"><code>static <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/Matrices.html#eye(int)">eye</a></strong>(int n)</code>
<div class="block">Generate a dense Identity Matrix in <code>Matrix</code> format.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static <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/Matrices.html#horzcat(org.apache.spark.mllib.linalg.Matrix[])">horzcat</a></strong>(<a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a>[] matrices)</code>
<div class="block">Horizontally concatenate a sequence of matrices.</div>
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<td class="colFirst"><code>static <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/Matrices.html#ones(int, int)">ones</a></strong>(int numRows,
int numCols)</code>
<div class="block">Generate a <code>DenseMatrix</code> consisting of ones.</div>
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<tr class="rowColor">
<td class="colFirst"><code>static <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/Matrices.html#rand(int, int, java.util.Random)">rand</a></strong>(int numRows,
int numCols,
java.util.Random rng)</code>
<div class="block">Generate a <code>DenseMatrix</code> consisting of <code>i.i.d.</code> uniform random numbers.</div>
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<td class="colFirst"><code>static <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/Matrices.html#randn(int, int, java.util.Random)">randn</a></strong>(int numRows,
int numCols,
java.util.Random rng)</code>
<div class="block">Generate a <code>DenseMatrix</code> consisting of <code>i.i.d.</code> gaussian random numbers.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static <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/Matrices.html#sparse(int, int, int[], int[], double[])">sparse</a></strong>(int numRows,
int numCols,
int[] colPtrs,
int[] rowIndices,
double[] values)</code>
<div class="block">Creates a column-major sparse matrix in Compressed Sparse Column (CSC) format.</div>
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<tr class="altColor">
<td class="colFirst"><code>static <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/Matrices.html#speye(int)">speye</a></strong>(int n)</code>
<div class="block">Generate a sparse Identity Matrix in <code>Matrix</code> format.</div>
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</tr>
<tr class="rowColor">
<td class="colFirst"><code>static <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/Matrices.html#sprand(int, int, double, java.util.Random)">sprand</a></strong>(int numRows,
int numCols,
double density,
java.util.Random rng)</code>
<div class="block">Generate a <code>SparseMatrix</code> consisting of <code>i.i.d.</code> gaussian random numbers.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>static <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/Matrices.html#sprandn(int, int, double, java.util.Random)">sprandn</a></strong>(int numRows,
int numCols,
double density,
java.util.Random rng)</code>
<div class="block">Generate a <code>SparseMatrix</code> consisting of <code>i.i.d.</code> gaussian random numbers.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>static <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/Matrices.html#vertcat(org.apache.spark.mllib.linalg.Matrix[])">vertcat</a></strong>(<a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a>[] matrices)</code>
<div class="block">Vertically concatenate a sequence of matrices.</div>
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<td class="colFirst"><code>static <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/Matrices.html#zeros(int, int)">zeros</a></strong>(int numRows,
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<div class="block">Generate a <code>Matrix</code> consisting of zeros.</div>
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<h4>Matrices</h4>
<pre>public Matrices()</pre>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> dense(int numRows,
int numCols,
double[] values)</pre>
<div class="block">Creates a column-major dense matrix.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows</dd><dd><code>numCols</code> - number of columns</dd><dd><code>values</code> - matrix entries in column major</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> sparse(int numRows,
int numCols,
int[] colPtrs,
int[] rowIndices,
double[] values)</pre>
<div class="block">Creates a column-major sparse matrix in Compressed Sparse Column (CSC) format.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows</dd><dd><code>numCols</code> - number of columns</dd><dd><code>colPtrs</code> - the index corresponding to the start of a new column</dd><dd><code>rowIndices</code> - the row index of the entry</dd><dd><code>values</code> - non-zero matrix entries in column major</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> zeros(int numRows,
int numCols)</pre>
<div class="block">Generate a <code>Matrix</code> consisting of zeros.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows of the matrix</dd><dd><code>numCols</code> - number of columns of the matrix</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>numRows</code> x <code>numCols</code> and values of zeros</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> ones(int numRows,
int numCols)</pre>
<div class="block">Generate a <code>DenseMatrix</code> consisting of ones.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows of the matrix</dd><dd><code>numCols</code> - number of columns of the matrix</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>numRows</code> x <code>numCols</code> and values of ones</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> eye(int n)</pre>
<div class="block">Generate a dense Identity Matrix in <code>Matrix</code> format.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>n</code> - number of rows and columns of the matrix</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>n</code> x <code>n</code> and values of ones on the diagonal</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> speye(int n)</pre>
<div class="block">Generate a sparse Identity Matrix in <code>Matrix</code> format.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>n</code> - number of rows and columns of the matrix</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>n</code> x <code>n</code> and values of ones on the diagonal</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> rand(int numRows,
int numCols,
java.util.Random rng)</pre>
<div class="block">Generate a <code>DenseMatrix</code> consisting of <code>i.i.d.</code> uniform random numbers.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows of the matrix</dd><dd><code>numCols</code> - number of columns of the matrix</dd><dd><code>rng</code> - a random number generator</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>numRows</code> x <code>numCols</code> and values in U(0, 1)</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> sprand(int numRows,
int numCols,
double density,
java.util.Random rng)</pre>
<div class="block">Generate a <code>SparseMatrix</code> consisting of <code>i.i.d.</code> gaussian random numbers.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows of the matrix</dd><dd><code>numCols</code> - number of columns of the matrix</dd><dd><code>density</code> - the desired density for the matrix</dd><dd><code>rng</code> - a random number generator</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>numRows</code> x <code>numCols</code> and values in U(0, 1)</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> randn(int numRows,
int numCols,
java.util.Random rng)</pre>
<div class="block">Generate a <code>DenseMatrix</code> consisting of <code>i.i.d.</code> gaussian random numbers.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows of the matrix</dd><dd><code>numCols</code> - number of columns of the matrix</dd><dd><code>rng</code> - a random number generator</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>numRows</code> x <code>numCols</code> and values in N(0, 1)</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> sprandn(int numRows,
int numCols,
double density,
java.util.Random rng)</pre>
<div class="block">Generate a <code>SparseMatrix</code> consisting of <code>i.i.d.</code> gaussian random numbers.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numRows</code> - number of rows of the matrix</dd><dd><code>numCols</code> - number of columns of the matrix</dd><dd><code>density</code> - the desired density for the matrix</dd><dd><code>rng</code> - a random number generator</dd>
<dt><span class="strong">Returns:</span></dt><dd><code>Matrix</code> with size <code>numRows</code> x <code>numCols</code> and values in N(0, 1)</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> diag(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a> vector)</pre>
<div class="block">Generate a diagonal matrix in <code>Matrix</code> format from the supplied values.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>vector</code> - a <code>Vector</code> that will form the values on the diagonal of the matrix</dd>
<dt><span class="strong">Returns:</span></dt><dd>Square <code>Matrix</code> with size <code>values.length</code> x <code>values.length</code> and <code>values</code>
on the diagonal</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> horzcat(<a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a>[] matrices)</pre>
<div class="block">Horizontally concatenate a sequence of matrices. The returned matrix will be in the format
the matrices are supplied in. Supplying a mix of dense and sparse matrices will result in
a sparse matrix. If the Array is empty, an empty <code>DenseMatrix</code> will be returned.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>matrices</code> - array of matrices</dd>
<dt><span class="strong">Returns:</span></dt><dd>a single <code>Matrix</code> composed of the matrices that were horizontally concatenated</dd></dl>
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<pre>public static <a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a> vertcat(<a href="../../../../../org/apache/spark/mllib/linalg/Matrix.html" title="interface in org.apache.spark.mllib.linalg">Matrix</a>[] matrices)</pre>
<div class="block">Vertically concatenate a sequence of matrices. The returned matrix will be in the format
the matrices are supplied in. Supplying a mix of dense and sparse matrices will result in
a sparse matrix. If the Array is empty, an empty <code>DenseMatrix</code> will be returned.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>matrices</code> - array of matrices</dd>
<dt><span class="strong">Returns:</span></dt><dd>a single <code>Matrix</code> composed of the matrices that were vertically concatenated</dd></dl>
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