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https://issues.apache.org/jira/browse/SPARK-13223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16098933#comment-16098933
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yuhao yang commented on SPARK-13223:
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Close it since it's been overlooked for some time and can be implemented with
#17583 easily.
> Add stratified sampling to ML feature engineering
> -------------------------------------------------
>
> Key: SPARK-13223
> URL: https://issues.apache.org/jira/browse/SPARK-13223
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: yuhao yang
> Priority: Minor
>
> I found it useful to add an sampling transformer during a case of fraud
> detection. It can be used in resampling or overSampling, which in turn is
> required by ensemble and unbalanced data processing.
> Internally, it invoke the sampleByKey in Pair RDD operation.
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