Description
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:
spark.algo(data, formula, required params, [optional params]) summary(object) predict(object, newData) write.ml(object, path, ...)
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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