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 > >
