Github user sueann commented on a diff in the pull request:
https://github.com/apache/spark/pull/17090#discussion_r103350775
--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -248,18 +248,18 @@ class ALSModel private[ml] (
@Since("1.3.0")
def setPredictionCol(value: String): this.type = set(predictionCol,
value)
+ private val predict = udf { (userFeatures: Seq[Float], itemFeatures:
Seq[Float]) =>
+ if (userFeatures != null && itemFeatures != null) {
+ blas.sdot(rank, userFeatures.toArray, 1, itemFeatures.toArray, 1)
--- End diff --
Good point! But since I copy-pasted this block in this PR, maybe it's okay
to try it out in another PR? At least with what we have here we know it's not a
regression. Want to make sure we get some version of ALS recommendForAll* in
2.2.
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