Xiangrui Meng created SPARK-16442: ------------------------------------- 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. -- 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