Github user srowen commented on a diff in the pull request:
    --- Diff: 
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
    @@ -580,10 +581,14 @@ class Word2VecModel private[spark] (
           ind += 1
    -    val scored =
    +    val pq = new BoundedPriorityQueue[(String, Double)](num + 
    +    pq ++=
    --- End diff --
    I also don't know... when I've used it it has been with vocabs of tens of 
thousands of words. From others' emails I think some people do use it with very 
large vocabs. If you have a minute, while we're here, might as well take it one 
more step towards optimized? 

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