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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19762) Implement aggregator/loss function hierarchy and apply to linear regression
Date Tue, 28 Feb 2017 03:36:45 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15887187#comment-15887187
] 

Apache Spark commented on SPARK-19762:
--------------------------------------

User 'sethah' has created a pull request for this issue:
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
>
> 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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