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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/06/05 09:33:04 UTC

[jira] [Resolved] (SPARK-19762) Implement aggregator/loss function hierarchy and apply to linear regression

     [ https://issues.apache.org/jira/browse/SPARK-19762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-19762.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0

Issue resolved by pull request 17094
[https://github.com/apache/spark/pull/17094]

> Implement aggregator/loss function hierarchy and apply to linear regression
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-19762
>                 URL: https://issues.apache.org/jira/browse/SPARK-19762
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Seth Hendrickson
>            Priority: Minor
>             Fix For: 2.3.0
>
>
> Creating this subtask as a first step for consolidating ML aggregators. We can start by just applying this change to linear regression, to keep the PR more manageable in scope.



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