[jira] [Resolved] (SPARK-16442) MLlib wrappers for SparkR 2.1

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-16442.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.0

> MLlib wrappers for SparkR 2.1
> -----------------------------
>
>                 Key: SPARK-16442
>                 URL: https://issues.apache.org/jira/browse/SPARK-16442
>             Project: Spark
>          Issue Type: Umbrella
>          Components: MLlib, SparkR
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>             Fix For: 2.1.0
>
>
> This is an umbrella JIRA to track MLlib wrappers in SparkR for the release 2.1. The wrappers should follow existing implementations such as `spark.glm`, `spark.kmeans`, `spark.naiveBayes`, etc. And the APIs should follow SPARK-14831:
> {code}
> spark.algo(data, formula, required params, [optional params])
> summary(object)
> predict(object, newData)
> write.ml(object, path, ...)
> {code}
> Implementation should also update `read.ml` to load the saved models back. Documentation should follow SPARK-16090 and group the methods above into a single Rd.



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