Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/10152#discussion_r50684006
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -556,6 +571,7 @@ class Word2VecModel private[spark] (
.sortBy(- _._2)
.take(num + 1)
.tail
+ .map(v => (if (vecNorm == 0) v else (v._1, v._2 / vecNorm)))
--- End diff --
Strictly speaking we could throw an error or warning if passing in a zero
vector as it's meaningless as you say. Still, I think in real usage that's
unlikely, so I'd just go for the first option. I don't think there are real
world efficiency gains to be had with the second option.
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