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From Joseph Bradley <jos...@databricks.com>
Subject Re: [VOTE] SPIP ML Pipelines in R
Date Thu, 31 May 2018 21:28:04 GMT
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 <
shivaram@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 <felixcheung_m@hotmail.com>
> wrote:
> > +1
> > With my concerns in the SPIP discussion.
> >
> > ________________________________
> > From: Hossein <falaki@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/>

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