Thanks Kui. SparkR is a pretty young project, but there are a bunch of things we are working on. One of the main features is to expose a data frame API (https://sparkr.atlassian.net/browse/SPARKR-1) and we will be integrating this with Spark's MLLib. At a high-level this will allow R users to use a familiar API but make use of MLLib's efficient distributed implementation. This is the same strategy used in Python as well.
Also we do hope to merge SparkR with mainline Spark -- we have a few features to complete before that and plan to shoot for integration by Spark 1.3. Thanks Shivaram On Wed, Sep 3, 2014 at 9:24 PM, oppokui <oppo...@gmail.com> wrote: > Thanks, Shivaram. > > No specific use case yet. We try to use R in our project as data scientest > are all knowing R. We had a concern that how R handles the mass data. Spark > does a better work on big data area, and Spark ML is focusing on predictive > analysis area. Then we are thinking whether we can merge R and Spark > together. We tried SparkR and it is pretty easy to use. But we didn’t see > any feedback on this package in industry. It will be better if Spark team > has R support just like scala/Java/Python. > > Another question is that MLlib will re-implement all famous data mining > algorithms in Spark, then what is the purpose of using R? > > There is another technique for us H2O which support R natively. H2O is more > friendly to data scientist. I saw H2O can also work on Spark (Sparkling > Water). It is better than using SparkR? > > Thanks and Regards. > > Kui > > > On Sep 4, 2014, at 1:47 AM, Shivaram Venkataraman > <shiva...@eecs.berkeley.edu> wrote: > > Hi > > Do you have a specific use-case where SparkR doesn't work well ? We'd love > to hear more about use-cases and features that can be improved with SparkR. > > Thanks > Shivaram > > > On Wed, Sep 3, 2014 at 3:19 AM, oppokui <oppo...@gmail.com> wrote: >> >> Does spark ML team have plan to support R script natively? There is a >> SparkR project, but not from spark team. Spark ML used netlib-java to talk >> with native fortran routines or use NumPy, why not try to use R in some >> sense. >> >> R had lot of useful packages. If spark ML team can include R support, it >> will be a very powerful. >> >> Any comment? >> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
