Hi Chirag,
Could you please provide more information on your Java server environment?
Regards,
Donald
ᐧ
On Fri, Nov 7, 2014 at 9:57 AM, chirag lakhani
wrote:
> Thanks for letting me know about this, it looks pretty interesting. From
> reading the documentation it seems that the server must be
Thanks for letting me know about this, it looks pretty interesting. From
reading the documentation it seems that the server must be built on a Spark
cluster, is that correct? Is it possible to deploy it in on a Java
server? That is how we are currently running our web app.
On Tue, Nov 4, 2014
The latest version of PredictionIO, which is now under Apache 2 license,
supports the deployment of MLlib models on production.
The "engine" you build will including a few components, such as:
- Data - includes Data Source and Data Preparator
- Algorithm(s)
- Serving
I believe that you can do the
Would pipelining include model export? I didn't see that in the
documentation.
Are there ways that this is being done currently?
On Mon, Oct 27, 2014 at 12:39 PM, Xiangrui Meng wrote:
> We are working on the pipeline features, which would make this
> procedure much easier in MLlib. This is s
We are working on the pipeline features, which would make this
procedure much easier in MLlib. This is still a WIP and the main JIRA
is at:
https://issues.apache.org/jira/browse/SPARK-1856
Best,
Xiangrui
On Mon, Oct 27, 2014 at 8:56 AM, chirag lakhani
wrote:
> Hello,
>
> I have been prototyping
