[
https://issues.apache.org/jira/browse/SPARK-3278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377205#comment-14377205
]
Xiangrui Meng commented on SPARK-3278:
--------------------------------------
Did you try truncating the digits of x to reduce the number of possible
buckets? If the loss of precision is not super important, this could help
scalability.
> Isotonic regression
> -------------------
>
> Key: SPARK-3278
> URL: https://issues.apache.org/jira/browse/SPARK-3278
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Xiangrui Meng
> Assignee: Martin Zapletal
> Fix For: 1.3.0
>
>
> Add isotonic regression for score calibration.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]