You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/07/14 23:03:00 UTC
[jira] [Commented] (SPARK-14523) Feature parity for Statistics ML
with MLlib
[ https://issues.apache.org/jira/browse/SPARK-14523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16088254#comment-16088254 ]
Apache Spark commented on SPARK-14523:
--------------------------------------
User 'WeichenXu123' has created a pull request for this issue:
https://github.com/apache/spark/pull/14950
> Feature parity for Statistics ML with MLlib
> -------------------------------------------
>
> Key: SPARK-14523
> URL: https://issues.apache.org/jira/browse/SPARK-14523
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: yuhao yang
>
> Some statistics functions have been supported by DataFrame directly. Use this jira to discuss/design the statistics package in Spark.ML and its function scope. Hypothesis test and correlation computation may still need to expose independent interfaces.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org