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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-18693) BinaryClassificationEvaluator, RegressionEvaluator, and MulticlassClassificationEvaluator should use sample weight data
Date Mon, 27 Feb 2017 18:32:45 GMT

    [ https://issues.apache.org/jira/browse/SPARK-18693?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15886278#comment-15886278
] 

Apache Spark commented on SPARK-18693:
--------------------------------------

User 'imatiach-msft' has created a pull request for this issue:
https://github.com/apache/spark/pull/17086

> 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.



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