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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-3147) Implement A/B testing
Date Mon, 21 Sep 2015 20:13:04 GMT

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

Xiangrui Meng resolved SPARK-3147.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.0

Issue resolved by pull request 4716
[https://github.com/apache/spark/pull/4716]

> 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
>            Assignee: Feynman Liang
>             Fix For: 1.6.0
>
>
> 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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