Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/9180#discussion_r43419153
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala ---
@@ -112,8 +139,13 @@ object LinearDataGenerator {
x.foreach { v =>
var i = 0
val len = v.length
+ val sparceRnd = new Random(seed)
--- End diff --
Since you seed `rnd` and `sparceRnd` with the same seed, both of them will
generate the same sequence of random numbers which is not what you want. You
should be able to use the same random number generator which will give you
uncorrelated random numbers in both creating the features and choice which
columns to zero out.
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