Hello zeppelin dev group, Regarding the R Interpreter Pull requests 208 and 702. I am trying to figure out if the functionality between these are overlapping, or one supports something different than the other. Is 702 a super set of 208 (702 is a fork of 208)?
Can you pass the reference of a distributed (parallelized) dataframe built in %spark (scala) to the R interpreter? Similar to z.put(“myDF", myDF)? Similarly, since R doesn’t support serialization of functions (unless you use something from the SparkR library) is there an example of collecting the parallel DF to a local DF (which I realize it means the dataset needs to fit in local memory on the zeppelin server). I can to dig into this a bit and help out where appropriate, however its unclear which PR to focus my efforts on. Best, Jeff Steinmetz Principal Architect Akili Interactive Labs On 2/23/16, 8:01 AM, "elbamos" <g...@git.apache.org> wrote: >Github user elbamos commented on the pull request: > > > https://github.com/apache/incubator-zeppelin/pull/702#issuecomment-187764059 > > @btiernay support for that has been in 208 all along... > > > On Feb 23, 2016, at 9:27 AM, Bob Tiernay <notificati...@github.com> > wrote: > > > > @echarles This is great! Thanks for all your hard work. Very much > appreciated! > > > > ╉ > > Reply to this email directly or view it on GitHub. > > > > > >--- >If your project is set up for it, you can reply to this email and have your >reply appear on GitHub as well. If your project does not have this feature >enabled and wishes so, or if the feature is enabled but not working, please >contact infrastructure at infrastruct...@apache.org or file a JIRA ticket >with INFRA. >---
