[jira] [Resolved] (SPARK-13345) Adding one way ANOVA to Spark ML stat

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-13345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-13345.
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    Resolution: Incomplete

> Adding one way ANOVA to Spark ML stat
> -------------------------------------
>
>                 Key: SPARK-13345
>                 URL: https://issues.apache.org/jira/browse/SPARK-13345
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: yuhao yang
>            Priority: Minor
>              Labels: bulk-closed
>
> One way ANOVA (https://en.wikipedia.org/wiki/One-way_analysis_of_variance)  is used to determine whether there are any significant differences between the means of three or more independent (unrelated) groups. 
> One prototype in https://github.com/hhbyyh/StatisticsOnSpark/blob/master/src/main/ANOVA/OneWayANOVA.scala 
> I'll send PR if this is a feature of interest. This can be further enriched with Post-Hoc and Factorial ANOVA.



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