Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/3997#discussion_r22838761
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
---
@@ -449,6 +449,16 @@ class SparseVector(
override def toString: String =
"(%s,%s,%s)".format(size, indices.mkString("[", ",", "]"),
values.mkString("[", ",", "]"))
--- End diff --
Yes, the nonzero entries idea did cross my mind. Maybe it's overcautious
that I think it might become a complexity if we want to have another kind of
Vector in the future, which don't have handy internal structure to scan for the
nonzero entries. Again, this can be overcautious.
And the dense == sparse idea looks good, maybe that suits into a util
method better as it would not introduce the existence of `DenseVector` to
`SparseVector` and vice versa.
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