Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/2294#discussion_r17255307
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala
---
@@ -63,7 +88,162 @@ class DenseMatrix(val numRows: Int, val numCols: Int,
val values: Array[Double])
override def toArray: Array[Double] = values
- private[mllib] override def toBreeze: BM[Double] = new
BDM[Double](numRows, numCols, values)
+ private [mllib] def toBreeze: BM[Double] = new BDM[Double](numRows,
numCols, values)
+
+ private [mllib] def apply(i: Int): Double = values(i)
+
+ private [mllib] def apply(r: Int, c: Int): Double = values(index(r, c))
+
+ private [mllib] def index(r: Int, c: Int): Int = r + numRows * c
+
+ private [mllib] def update(r: Int, c: Int, v: Double){
+ values(index(r, c)) = v
+ }
+
+ def copy = new DenseMatrix(numRows, numCols, values.clone())
+}
+
+/**
+ * Factory methods for [[org.apache.spark.mllib.linalg.DenseMatrix]].
+ *
+ * These methods can be used to generate common matrix types such as the
Identity matrix, any
+ * diagonal matrix, zero matrix, and random matrices.
+ */
+object DenseMatrix {
--- End diff --
We can move those functions to `Matrices`.
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