You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/04/26 15:59:00 UTC

[jira] [Commented] (SPARK-24101) MulticlassClassificationEvaluator should use sample weight data

    [ https://issues.apache.org/jira/browse/SPARK-24101?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16454445#comment-16454445 ] 

Apache Spark commented on SPARK-24101:
--------------------------------------

User 'imatiach-msft' has created a pull request for this issue:
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
>            Priority: Major
>
> 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.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org