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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/11/02 19:59:33 UTC

[jira] [Updated] (SPARK-3147) Implement A/B testing

     [ https://issues.apache.org/jira/browse/SPARK-3147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-3147:
---------------------------------
    Target Version/s: 1.3.0  (was: 1.2.0)

> Implement A/B testing
> ---------------------
>
>                 Key: SPARK-3147
>                 URL: https://issues.apache.org/jira/browse/SPARK-3147
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib, Streaming
>            Reporter: Xiangrui Meng
>
> A/B testing is widely used to compare online models. We can implement A/B testing in MLlib and integrate it with Spark Streaming. For example, we have a PairDStream[String, Double], whose keys are model ids and values are observations (click or not, or revenue associated with the event). With A/B testing, we can tell whether one model is significantly better than another at a certain time. There are some caveats. For example, we should avoid multiple testing and support A/A testing as a sanity check.  



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