The vote passed with following +1.
- Felix
- Joseph
- Xiangrui
- Reynold
Joseph has kindly volunteered to shepherd this.
Thanks,
--Hossein
On Thu, Jun 14, 2018 at 1:32 PM Reynold Xin wrote:
> +1 on the proposal.
>
>
> On Fri, Jun 1, 2018 at 8:17 PM Hossein wrote:
>
>>
Hi Shivaram,
We converged on a CRAN release process that seems identical to current
SparkR.
--Hossein
On Thu, May 31, 2018 at 9:10 AM, Shivaram Venkataraman <
shiva...@eecs.berkeley.edu> wrote:
> Hossein -- Can you clarify what the resolution on the repository /
> release iss
pache.org/jira/browse/SPARK-24359> for a vote.
+1: Let's go ahead and implement the SPIP.
+0: Don't really care.
-1: I do not think this is a good idea for the following reasons.
Thanks,
--Hossein
I guess this relates to our conversation on the SPIP
<https://issues.apache.org/jira/browse/SPARK-24359>. When this happens, do
we wait for a new minor release to submit it to CRAN again?
--Hossein
On Fri, May 25, 2018 at 5:11 PM, Felix Cheung
wrote:
> This is the fix
> https:
Would you please forward the email from CRAN? Is there a JIRA?
Thanks,
--Hossein
Correction: the SPIP is https://issues.apache.org/jira/browse/SPARK-24359
--Hossein
On Tue, May 22, 2018 at 6:23 PM, Hossein <fal...@gmail.com> wrote:
> Hi all,
>
> SparkR supports calling MLlib functionality with an R-friendly API. Since
> Spark 1.5 the (new) SparkML
;
comments.
Thanks,
--Hossein
User defined functions written in R are not supposed yet. You can implement
your UDF in Scala, register it in sqlContext and use it in SparkR, provided
that you share your context between R and Scala.
--Hossein
On Friday, October 2, 2015, Renyi Xiong <renyixio...@gmail.com> wrote:
>
run SparkR.
--Hossein
On Wed, Sep 23, 2015 at 7:28 PM, Sun, Rui <rui@intel.com> wrote:
> SparkR package is not a standalone R package, as it is actually R API of
> Spark and needs to co-operate with a matching version of Spark, so exposing
> it in CRAN does not ease use of R users
al machine. I have got this request from some R users. Their company has
a Spark cluster (usually managed by another team), and they want to connect
to it from their workstation (e.g., from within RStudio, etc).
--Hossein
On Thu, Sep 24, 2015 at 12:25 PM, Shivaram Venkataraman <
shiva...@eecs
+1 tested SparkR on Mac and Linux.
--Hossein
On Thu, Sep 24, 2015 at 3:10 PM, Xiangrui Meng <men...@gmail.com> wrote:
> +1. Checked user guide and API doc, and ran some MLlib and SparkR
> examples. -Xiangrui
>
> On Thu, Sep 24, 2015 at 2:54 PM, Reynold Xin <r...@databrick
RStudio. While
that is a bigger task, for now, first step could be not requiring them to
download Spark source and run a script that is named install-dev.sh. I
filed SPARK-10776 to track this.
--Hossein
On Tue, Sep 22, 2015 at 7:21 PM, Shivaram Venkataraman <
shiva...@eecs.berkeley.edu>
ntime.
Do you think this change is feasible?
Thanks,
--Hossein
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