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https://issues.apache.org/jira/browse/SPARK-24102?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16717451#comment-16717451
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ASF GitHub Bot commented on SPARK-24102:
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imatiach-msft edited a comment on issue #17085: [SPARK-24102][ML][MLLIB] ML 
Evaluators should use weight column - added weight column for regression 
evaluator
URL: https://github.com/apache/spark/pull/17085#issuecomment-446259327
 
 
   @srowen yes, exactly, there is a third PR here for classification: 
https://github.com/apache/spark/pull/17084
   But I need to update it in a similar way to how I just updated this PR (eg 
2.2.0 -> 3.0.0).
   
   The original PR had all three but it was recommended that I break it up into 
3 parts so I closed it and opened three separate PRs:
   https://github.com/apache/spark/pull/16557
   

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> RegressionEvaluator should use sample weight data
> -------------------------------------------------
>
>                 Key: SPARK-24102
>                 URL: https://issues.apache.org/jira/browse/SPARK-24102
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.0.2
>            Reporter: Ilya Matiach
>            Priority: Major
>              Labels: starter
>
> The LogisticRegression and LinearRegression models support training with a 
> weight column, but the corresponding evaluators do not support computing 
> metrics using those weights. This breaks model selection using CrossValidator.



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