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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19635) Feature parity for Chi-square hypothesis testing in MLlib
Date Wed, 01 Mar 2017 00:23:45 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15889190#comment-15889190
] 

Joseph K. Bradley commented on SPARK-19635:
-------------------------------------------

That PR for trees looks pretty different.  This task is just for wrapping chiSqTest with a
DataFrame API.
I'm going to take this one.

> Feature parity for Chi-square hypothesis testing in MLlib
> ---------------------------------------------------------
>
>                 Key: SPARK-19635
>                 URL: https://issues.apache.org/jira/browse/SPARK-19635
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>    Affects Versions: 2.1.0
>            Reporter: Timothy Hunter
>
> This ticket tracks porting the functionality of spark.mllib.Statistics.chiSqTest over
to spark.ml.
> Here is a design doc:
> https://docs.google.com/document/d/1ELVpGV3EBjc2KQPLN9_9_Ge9gWchPZ6SGtDW5tTm_50/edit#



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