[ https://issues.apache.org/jira/browse/SPARK-15799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15633932#comment-15633932 ]
Shivaram Venkataraman commented on SPARK-15799: ----------------------------------------------- Yes - I think this is good to go. The only thing remaining IMHO is that the vignette needs to be packaged correctly. (https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Writing-package-vignettes has some details). I think if we can release it with 2.1.0 it'll be good ? We have many new ML algorithms in it. > Release SparkR on CRAN > ---------------------- > > Key: SPARK-15799 > URL: https://issues.apache.org/jira/browse/SPARK-15799 > Project: Spark > Issue Type: New Feature > Components: SparkR > Reporter: Xiangrui Meng > > Story: "As an R user, I would like to see SparkR released on CRAN, so I can > use SparkR easily in an existing R environment and have other packages built > on top of SparkR." > I made this JIRA with the following questions in mind: > * Are there known issues that prevent us releasing SparkR on CRAN? > * Do we want to package Spark jars in the SparkR release? > * Are there license issues? > * How does it fit into Spark's release process? -- 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