Github user GeorgeDittmar commented on a diff in the pull request:
https://github.com/apache/spark/pull/6112#discussion_r30302320
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
---
@@ -717,6 +719,23 @@ class SparseVector(
new SparseVector(size, ii, vv)
}
}
+
+ override def argmax: Int = {
+ if (size == 0) {
+ -1
+ } else {
+ var maxIdx = indices(0)
+ var maxValue = values(0)
+
+ foreachActive { (i, v) =>
--- End diff --
"there exist inactive (zero) entries" are you meaning we have values in the
sparse vector that are zero but are set to not active? I thought that the
sparse vector had you define what indices have active elements and that
indices.size must equal the size of the values in that vector so I am not sure
how you get into the state I think you are describing. Do you have an example?
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