Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/1110#discussion_r15508571
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
---
@@ -104,13 +105,11 @@ class RowMatrix(
val nt: Int = n * (n + 1) / 2
// Compute the upper triangular part of the gram matrix.
- val GU = rows.aggregate(new BDV[Double](new Array[Double](nt)))(
+ val GU = rows.treeAggregate(new BDV[Double](new Array[Double](nt)))(
seqOp = (U, v) => {
RowMatrix.dspr(1.0, v, U.data)
U
- },
- combOp = (U1, U2) => U1 += U2
- )
+ }, combOp = (U1, U2) => U1 += U2, depth = 2)
--- End diff --
maybe you can set depth to be 2 by default so you don't need to repeat this
...
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