You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/08/11 21:45:46 UTC

[jira] [Assigned] (SPARK-9647) MLlib + SparkR integration for 1.6

     [ https://issues.apache.org/jira/browse/SPARK-9647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng reassigned SPARK-9647:
------------------------------------

    Assignee: Xiangrui Meng  (was: Eric Liang)

> MLlib + SparkR integration for 1.6
> ----------------------------------
>
>                 Key: SPARK-9647
>                 URL: https://issues.apache.org/jira/browse/SPARK-9647
>             Project: Spark
>          Issue Type: Umbrella
>          Components: ML, SparkR
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>            Priority: Critical
>
> This is an umbrella JIRA for MLlib + SparkR integration for Spark 1.6, continuing the work from SPARK-6805. Some suggested features:
> 1. model coefficients for logistic regression
> 2. support feature interactions in RFormula
> 3. summary statistics
> 4. more error families
> A more detailed list is TBA.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org