Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/17742#discussion_r113427392
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -277,17 +278,39 @@ object MatrixFactorizationModel extends
Loader[MatrixFactorizationModel] {
val srcBlocks = blockify(rank, srcFeatures)
val dstBlocks = blockify(rank, dstFeatures)
val ratings = srcBlocks.cartesian(dstBlocks).flatMap {
- case ((srcIds, srcFactors), (dstIds, dstFactors)) =>
- val m = srcIds.length
- val n = dstIds.length
- val ratings = srcFactors.transpose.multiply(dstFactors)
- val output = new Array[(Int, (Int, Double))](m * n)
- var k = 0
- ratings.foreachActive { (i, j, r) =>
- output(k) = (srcIds(i), (dstIds(j), r))
- k += 1
- }
- output.toSeq
+ case (users, items) =>
--- End diff --
Put case statement on previous line: `flatMap { case (... =>`
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