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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/02/27 18:17:45 UTC
[jira] [Commented] (SPARK-18693) BinaryClassificationEvaluator,
RegressionEvaluator, and MulticlassClassificationEvaluator should use
sample weight data
[ 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.
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