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

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

Xiangrui Meng created SPARK-16442:
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             Summary: 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


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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