Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5373#discussion_r27788906
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/HashingTF.scala ---
@@ -47,7 +47,7 @@ class HashingTF(val numFeatures: Int) extends
Serializable {
/**
* Transforms the input document into a sparse term frequency vector.
*/
- def transform(document: Iterable[_]): Vector = {
+ def transform(document: Iterable[_]): SparseVector = {
--- End diff --
A `SparseVector` is a `Vector`. This promises the more specific subclass,
but is it necessary?
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