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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