Github user shahidki31 commented on a diff in the pull request:
https://github.com/apache/spark/pull/23016#discussion_r234396276
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/fpm/PrefixSpan.scala
---
@@ -174,6 +174,10 @@ class PrefixSpan private (
val freqSequences = results.map { case (seq: Array[Int], count: Long)
=>
new FreqSequence(toPublicRepr(seq), count)
}
+ // Cache the final RDD to the same storage level as input
+ freqSequences.persist(data.getStorageLevel)
--- End diff --
@srowen Yes. That is the correct approach. I updated the code. Thanks
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