Github user ehsanmok commented on a diff in the pull request:
https://github.com/apache/spark/pull/9916#discussion_r50469740
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/BlockMatrix.scala
---
@@ -317,40 +317,69 @@ class BlockMatrix @Since("1.3.0") (
}
/**
- * Adds two block matrices together. The matrices must have the same
size and matching
- * `rowsPerBlock` and `colsPerBlock` values. If one of the blocks that
are being added are
- * instances of [[SparseMatrix]], the resulting sub matrix will also be
a [[SparseMatrix]], even
- * if it is being added to a [[DenseMatrix]]. If two dense matrices are
added, the output will
- * also be a [[DenseMatrix]].
+ * For given matrices `this` and `other` of compatible dimensions and
compatible block dimensions,
+ * it applies a binary function on their corresponding blocks.
+ *
+ * @param other The second BlockMatrix argument for the operator
specified by `binMap`
+ * @param binMap A function taking two breeze matrices and returning a
breeze matrix
+ * @return A [[BlockMatrix]] whose blocks are the results of a specified
binary map on blocks
+ * of `this` and `other`.
*/
- @Since("1.3.0")
- def add(other: BlockMatrix): BlockMatrix = {
+ private[mllib] def blockMap(
+ other: BlockMatrix,
+ binMap: (BM[Double], BM[Double]) => BM[Double]): BlockMatrix = {
require(numRows() == other.numRows(), "Both matrices must have the
same number of rows. " +
s"A.numRows: ${numRows()}, B.numRows: ${other.numRows()}")
require(numCols() == other.numCols(), "Both matrices must have the
same number of columns. " +
s"A.numCols: ${numCols()}, B.numCols: ${other.numCols()}")
if (rowsPerBlock == other.rowsPerBlock && colsPerBlock ==
other.colsPerBlock) {
- val addedBlocks = blocks.cogroup(other.blocks, createPartitioner())
+ val newBlocks = blocks.cogroup(other.blocks, createPartitioner())
.map { case ((blockRowIndex, blockColIndex), (a, b)) =>
if (a.size > 1 || b.size > 1) {
throw new SparkException("There are multiple MatrixBlocks with
indices: " +
s"($blockRowIndex, $blockColIndex). Please remove them.")
}
if (a.isEmpty) {
- new MatrixBlock((blockRowIndex, blockColIndex), b.head)
+ val zeroBlock = BM.zeros[Double](b.head.numRows,
b.head.numCols)
--- End diff --
@jkbradley so I'll modify the doc (as mentioned below) and commit. I don't
think there's a better option available for zero sparse matrices!
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