spark-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Steve Goodman <stevejgood...@gmail.com>
Subject Re: Deploying ML Pipeline Model
Date Fri, 01 Jul 2016 12:44:00 GMT
Hi Rishabh,

I have a similar use-case and have struggled to find the best solution. As
I understand it 1.6 provides pipeline persistence in Scala, and that will
be expanded in 2.x. This project https://github.com/jpmml/jpmml-sparkml
claims to support about a dozen pipeline transformers, and 6 or 7 different
model types, although I have not yet used it myself.

Looking forward to hearing better suggestions?

Steve


On Fri, Jul 1, 2016 at 12:54 PM, Rishabh Bhardwaj <rbnext29@gmail.com>
wrote:

> Hi All,
>
> I am looking for ways to deploy a ML Pipeline model in production .
> Spark has already proved to be a one of the best framework for model
> training and creation, but once the ml pipeline model is ready how can I
> deploy it outside spark context ?
> MLlib model has toPMML method but today Pipeline model can not be saved to
> PMML. There are some frameworks like MLeap which are trying to abstract
> Pipeline Model and provide ML Pipeline Model deployment outside spark
> context,but currently they don't have most of the ml transformers and
> estimators.
> I am looking for related work going on this area.
> Any pointers will be helpful.
>
> Thanks,
> Rishabh.
>

Mime
View raw message