[ https://issues.apache.org/jira/browse/SPARK-18822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-18822. ---------------------------------- Resolution: Incomplete > Support ML Pipeline in SparkR > ----------------------------- > > Key: SPARK-18822 > URL: https://issues.apache.org/jira/browse/SPARK-18822 > Project: Spark > Issue Type: New Feature > Components: ML, SparkR > Reporter: Felix Cheung > Priority: Major > Labels: bulk-closed > > From Joseph Bradley: > " > Supporting Pipelines and advanced use cases: There really needs to be more > design discussion around SparkR. Felix Cheung would you be interested in > leading some discussion? I'm envisioning something similar to what was done a > while back for Pipelines in Scala/Java/Python, where we consider several use > cases of MLlib: fitting a single model, creating and tuning a complex > Pipeline, and working with multiple languages. That should help inform what > APIs should look like in Spark R. > " > Certain ML model, such as OneVsRest, is harder to represent in a single call > R API. Having advanced API or Pipeline API like this could help to expose > that to our users. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org