Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/17742#discussion_r113761692
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -277,39 +277,38 @@ object MatrixFactorizationModel extends
Loader[MatrixFactorizationModel] {
num: Int): RDD[(Int, Array[(Int, Double)])] = {
val srcBlocks = blockify(rank, srcFeatures)
val dstBlocks = blockify(rank, dstFeatures)
- val ratings = srcBlocks.cartesian(dstBlocks).flatMap {
- case (users, items) =>
- val m = users.size
- val n = math.min(items.size, num)
+ val ratings = srcBlocks.cartesian(dstBlocks).flatMap { case (srcIter,
dstIter) =>
+ val m = srcIter.size
+ val n = math.min(dstIter.size, num)
val output = new Array[(Int, (Int, Double))](m * n)
var j = 0
- users.foreach (user => {
+ srcIter.foreach { case (srcId, srcFactor) =>
def order(a: (Int, Double)) = a._2
val pq: BoundedPriorityQueue[(Int, Double)] =
--- End diff --
We could remove the type sig from the `val` definition here to make it fit
on one line
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