Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3309#discussion_r20557819
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -461,4 +461,13 @@ class Word2VecModel private[mllib] (
.tail
.toArray
}
+
+ /**
+ * Returns the strings with its raw vectors for further processing
+ * (e.g. clustering)
--- End diff --
Sorry for making one more iteration! The doc could be more concise, e.g.
~~~
Returns a map of words to their vector representations.
~~~
`for further processing (e.g. cluster)` is not necessary because we don't
restrict how users will use it.
Usually, if `Returns ...` contains all the information, we don't need
`@return`.
Another question I have is on the return type. We use `Array[Float]` to
save space in computation. Shall we return `Map[String, Vector]` here, just to
be consistent with others? @Ishiihara
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