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https://issues.apache.org/jira/browse/SPARK-18693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Devesh Parekh updated SPARK-18693:
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Description: 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. (was: The LogisticRegression and LinearRegression models
support training with a weight column, but the corresponding evaluators do not
support computing metrics using those weights.)
> 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: Bug
> 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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