Github user mbittmann commented on a diff in the pull request:
https://github.com/apache/spark/pull/4433#discussion_r24282208
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/linalg/EigenValueDecomposition.scala
---
@@ -79,6 +79,10 @@ private[mllib] object EigenValueDecomposition {
// Mode 1: A*x = lambda*x, A symmetric
iparam(6) = 1
+ require(ncv * n.toLong <= Integer.MAX_VALUE, "Product of 2*k*n must be
smaller than " +
--- End diff --
Okay, I think i figured out what you are saying. Take a look. The check on
k may be overkill, since by definition it must be less than n. Therefore k*n is
always greater than k*k. There could always be that weird scenario though.
Thanks for the help.
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