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https://issues.apache.org/jira/browse/SPARK-16442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng reassigned SPARK-16442:
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Assignee: Xiangrui Meng
> 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
>
> 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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