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From mengxr <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-5321] Support for transposing local mat...
Date Tue, 20 Jan 2015 23:58:53 GMT
Github user mengxr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/4109#discussion_r23268088
  
    --- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala ---
    @@ -114,21 +106,47 @@ class DenseMatrix(val numRows: Int, val numCols: Int, val values:
Array[Double])
       require(values.length == numRows * numCols, "The number of values supplied doesn't
match the " +
         s"size of the matrix! values.length: ${values.length}, numRows * numCols: ${numRows
* numCols}")
     
    -  override def toArray: Array[Double] = values
    +  override def toArray: Array[Double] = {
    +    if (!isTransposed) {
    +      values
    +    } else {
    +      val transposedValues = new Array[Double](values.length)
    +      var j = 0
    +      while (j < numCols) {
    +        var i = 0
    +        val indStart = j * numRows
    +        while (i < numRows) {
    +          transposedValues(indStart + i) = values(j + i * numCols)
    +          i += 1
    +        }
    +        j += 1
    +      }
    +      transposedValues
    +    }
    +  }
     
       override def equals(o: Any) = o match {
         case m: DenseMatrix =>
    -      m.numRows == numRows && m.numCols == numCols && Arrays.equals(toArray,
m.toArray)
    +      m.numRows == numRows && m.numCols == numCols && jArrays.equals(toArray,
m.toArray)
         case _ => false
       }
     
    -  private[mllib] def toBreeze: BM[Double] = new BDM[Double](numRows, numCols, values)
    +  private[mllib] def toBreeze: BM[Double] = {
    --- End diff --
    
    Do we handle the transpose flag in `fromBreeze`?


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