[ https://issues.apache.org/jira/browse/SPARK-16442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng reassigned SPARK-16442: ------------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org