[
https://issues.apache.org/jira/browse/SPARK-18693?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15886258#comment-15886258
]
Apache Spark commented on SPARK-18693:
--------------------------------------
User 'imatiach-msft' has created a pull request for this issue:
https://github.com/apache/spark/pull/17084
> BinaryClassificationEvaluator, RegressionEvaluator, and
> MulticlassClassificationEvaluator should use sample weight data
> -----------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-18693
> URL: https://issues.apache.org/jira/browse/SPARK-18693
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.0.2
> Reporter: Devesh Parekh
>
> 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
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
