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Posted to issues@spark.apache.org by "yuhao yang (JIRA)" <ji...@apache.org> on 2017/07/24 18:18:01 UTC

[jira] [Resolved] (SPARK-13223) Add stratified sampling to ML feature engineering

     [ https://issues.apache.org/jira/browse/SPARK-13223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

yuhao yang resolved SPARK-13223.
--------------------------------
    Resolution: Not A Problem

> 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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