Persist productFeatures RDD model to memory for faster multiple accesses
diff --git a/src/main/scala/ALSAlgorithm.scala b/src/main/scala/ALSAlgorithm.scala
index 977edd8..52a3ed2 100644
--- a/src/main/scala/ALSAlgorithm.scala
+++ b/src/main/scala/ALSAlgorithm.scala
@@ -56,7 +56,9 @@
def apply(id: String, params: ALSAlgorithmParams,
sc: Option[SparkContext]) = {
new ALSModel(
- productFeatures = sc.get.objectFile(s"/tmp/${id}/productFeatures"),
+ productFeatures = sc.get
+ .objectFile(s"/tmp/${id}/productFeatures")
+ .cache(), // persist to memory for fast multiple accesses
itemStringIntMap = sc.get
.objectFile[BiMap[String, Int]](s"/tmp/${id}/itemStringIntMap").first,
items = sc.get