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-rw-r--r--mllib/src/main/scala/spark/mllib/recommendation/ALS.scala14
1 files changed, 7 insertions, 7 deletions
diff --git a/mllib/src/main/scala/spark/mllib/recommendation/ALS.scala b/mllib/src/main/scala/spark/mllib/recommendation/ALS.scala
index 974046d260..aeacbca510 100644
--- a/mllib/src/main/scala/spark/mllib/recommendation/ALS.scala
+++ b/mllib/src/main/scala/spark/mllib/recommendation/ALS.scala
@@ -124,16 +124,16 @@ class ALS private (var numBlocks: Int, var rank: Int, var iterations: Int, var l
val (productInLinks, productOutLinks) = makeLinkRDDs(numBlocks, ratingsByProductBlock)
// Initialize user and product factors randomly
- var users = userOutLinks.mapPartitions(itr => {
+ var users = userOutLinks.mapPartitions {itr =>
val rand = new Random()
- itr.map({case (x,y) =>
- (x,y.elementIds.map(u => randomFactor(rank, rand)))
+ itr.map({case (x, y) =>
+ (x, y.elementIds.map(u => randomFactor(rank, rand)))
})
- })
- var products = productOutLinks.mapPartitions(itr => {
+ }
+ var products = productOutLinks.mapPartitions {itr =>
val rand = new Random()
- itr.map({case (x,y) =>
- (x,y.elementIds.map(u => randomFactor(rank, rand)))
+ itr.map({case (x, y) =>
+ (x, y.elementIds.map(u => randomFactor(rank, rand)))
})
})