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https://issues.apache.org/jira/browse/SPARK-18441?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15670210#comment-15670210
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Nick Pentreath commented on SPARK-18441:
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Yes, it would be good to understand what this is all about. Perhaps some
techniques for dealing with class imbalance could live within Spark. However,
take a look at https://github.com/scikit-learn-contrib/imbalanced-learn for
example - there is a contrib module focused on class imbalance. Something
similar would be very interesting as a package.
> Add Smote in spark mlib and ml
> ------------------------------
>
> Key: SPARK-18441
> URL: https://issues.apache.org/jira/browse/SPARK-18441
> Project: Spark
> Issue Type: Wish
> Components: ML, MLlib
> Affects Versions: 2.0.1
> Reporter: lichenglin
>
> PLZ Add Smote in spark mlib and ml in case of the "not balance of train
> data" for Classification
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