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 <[email protected]>
Date: 2016-07-11T20:26:17Z
Fixed bug that caused NaNs in IsotonicRegression
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
