Thanks, Shivaram.
Kui
> On Sep 19, 2014, at 12:58 AM, Shivaram Venkataraman
> wrote:
>
> As R is single-threaded, SparkR launches one R process per-executor on
> the worker side.
>
> Thanks
> Shivaram
>
> On Thu, Sep 18, 2014 at 7:49 AM, oppokui wrote:
Regards.
Kui
> On Sep 6, 2014, at 5:53 PM, oppokui wrote:
>
> Cool! It is a very good news. Can’t wait for it.
>
> Kui
>
>> On Sep 5, 2014, at 1:58 AM, Shivaram Venkataraman
>> wrote:
>>
>> Thanks Kui. SparkR is a pretty young project, but there are a
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.
>
ll.
>
> 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 wrote:
>> Thanks, Shivaram
AM, Shivaram Venkataraman
> 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
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, i
