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

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

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

Xiangrui Meng resolved SPARK-9647.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.0

Marked this umbrella as done. We will track follow-up work in a separate JIRA.

> 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
>             Fix For: 1.6.0
>
>
> 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 -> implemented for linear regression
> 4. more error families -> 1.7



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