GitHub user neggert opened a pull request:
https://github.com/apache/spark/pull/14140
[SPARK-16426][MLlib] Fixed bug that caused NaNs in IsotonicRegression
## What changes were proposed in this pull request?
Fixed a bug that caused `NaN`s in `IsotonicRegression`. The problem occurs
when training rows with the same feature value but different labels end up on
different partitions. This patch changes a `sortBy` call to a
`partitionBy(RangePartitioner)` followed by a `mapPartitions(sortBy)` in order
to ensure that all rows with the same feature value end up on the same
partition.
## How was this patch tested?
Added a unit test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/neggert/spark SPARK-16426-isotonic-nan
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14140.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14140
----
commit 3f431164920fb6bd5dc7116748eb178493750136
Author: z001qdp <nicholas.egg...@target.com>
Date: 2016-07-11T20:26:17Z
Fixed bug that caused NaNs in IsotonicRegression
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