Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/9180#discussion_r43474383
--- 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 --
If we use same random generator for both creating features and choice which
columns to zero, x is different from current ones. This cause unit test
failures. Can we change the assertion tolerance or target written in
`LinearRegressionSuite`?
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