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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-24101) MulticlassClassificationEvaluator should use sample weight data
Date Fri, 09 Nov 2018 21:41:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-24101.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 3.0.0

Issue resolved by pull request 17086
[https://github.com/apache/spark/pull/17086]

> MulticlassClassificationEvaluator should use sample weight data
> ---------------------------------------------------------------
>
>                 Key: SPARK-24101
>                 URL: https://issues.apache.org/jira/browse/SPARK-24101
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.0.2
>            Reporter: Ilya Matiach
>            Assignee: Ilya Matiach
>            Priority: Major
>             Fix For: 3.0.0
>
>
> 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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