Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14140#discussion_r70451380
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/regression/IsotonicRegression.scala
---
@@ -408,8 +409,12 @@ class IsotonicRegression private (private var
isotonic: Boolean) extends Seriali
*/
private def parallelPoolAdjacentViolators(
input: RDD[(Double, Double, Double)]): Array[(Double, Double,
Double)] = {
- val parallelStepResult = input
- .sortBy(x => (x._2, x._1))
+ val keyedInput = input
--- End diff --
I think you can supply your own ordering and partitioner separately? the
ordering is defined implicitly, which is sort of awkward to override. But then
you should be able to partition differently from that ordering.
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/OrderedRDDFunctions.scala#L50
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