+1.

On Thu, May 31, 2018 at 2:28 PM Joseph Bradley <jos...@databricks.com>
wrote:

> Hossein might be slow to respond (OOO), but I just commented on the JIRA.
> I'd recommend we follow the same process as the SparkR package.
>
> +1 on this from me (and I'll be happy to help shepherd it, though Felix
> and Shivaram are the experts in this area).  CRAN presents challenges, but
> this is a good step towards making R a first-class citizen for ML use cases
> of Spark.
>
> 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 issue discussed on SPIP ?
>>
>> Shivaram
>>
>> On Thu, May 31, 2018 at 9:06 AM, Felix Cheung <felixcheun...@hotmail.com>
>> wrote:
>> > +1
>> > With my concerns in the SPIP discussion.
>> >
>> > ________________________________
>> > From: Hossein <fal...@gmail.com>
>> > Sent: Wednesday, May 30, 2018 2:03:03 PM
>> > To: dev@spark.apache.org
>> > Subject: [VOTE] SPIP ML Pipelines in R
>> >
>> > Hi,
>> >
>> > I started discussion thread for a new R package to expose MLlib
>> pipelines in
>> > R.
>> >
>> > To summarize we will work on utilities to generate R wrappers for MLlib
>> > pipeline API for a new R package. This will lower the burden for
>> exposing
>> > new API in future.
>> >
>> > Following the SPIP process, I am proposing the SPIP 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
>>
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>>
>>
>
>
> --
>
> Joseph Bradley
>
> Software Engineer - Machine Learning
>
> Databricks, Inc.
>
> [image: http://databricks.com] <http://databricks.com/>
>
-- 

Xiangrui Meng

Software Engineer

Databricks Inc. [image: http://databricks.com] <http://databricks.com/>

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