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https://issues.apache.org/jira/browse/SPARK-3147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3147:
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Assignee: Feynman Liang
> 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
>
> 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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