You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2017/03/01 00:23:45 UTC
[jira] [Commented] (SPARK-19635) Feature parity for Chi-square
hypothesis testing in MLlib
[ 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#
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org