Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15105#discussion_r78999711
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -566,8 +582,8 @@ class Word2VecModel private[spark] (
wordList.zip(cosVec)
.toSeq
.sortBy(-_._2)
- .take(num + 1)
- .tail
+ .filter(tup => wordOpt.map(w => !w.equals(tup._1)).getOrElse(true)
&& tup._2 != 1.0d)
--- End diff --
It should be equivalent to what you suggest. Something like...
```
val topn1 = wordList.zip(cosVec).toSeq.sortBy(-_._2).take(num + 1)
if (wordOpt.isDefined) {
topn1.filter(tup => !wordOpt.get.equals(tup._1)).take(num)
} else {
topn1.tail
}
```
OK that's a bit different than what you suggested but does that help a bit?
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