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https://issues.apache.org/jira/browse/SPARK-9493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-9493:
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Shepherd: Joseph K. Bradley
> Chain logistic regression with isotonic regression under the pipeline API
> -------------------------------------------------------------------------
>
> Key: SPARK-9493
> URL: https://issues.apache.org/jira/browse/SPARK-9493
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 1.5.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
>
> One use case of isotonic regression is to calibrate the probabilities output
> by logistic regression. We should make this easier in the pipeline API.
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