Dear Pat,
Thanks for the detailed guide. It is nice to know it is possible.
But I am not sure if I understand it correctly, so could you please
point out any misunderstanding in the following? (If there is any)
Let's say I have 3 machines.
There is a machine [EventServer and data store) f
Hi Donald,
I did not. I will read the release notes and update accordingly.
Thanks!
Jim
--
Jim Miller
On September 20, 2017 at 1:01:53 PM, Donald Szeto (don...@apache.org) wrote:
Hey Jim,
Did you build PIO 0.12 with ES 1.4 support? ES 1.x is being deprecated in 0.12
so the default build w
Hey Jim,
Did you build PIO 0.12 with ES 1.4 support? ES 1.x is being deprecated in
0.12 so the default build will use ES 5.x support.
See the upcoming release notes:
https://github.com/apache/incubator-predictionio/blob/release/0.12.0/RELEASE.md#behavior-changes
Regards,
Donald
On Wed, Sep 20,
Yes, this is the recommended config (Postgres is not, but later). Spark is only
needed during training but the `pio train` process creates drives and executors
in Spark. The driver will be the `pio train` machine so you must install pio on
it. You should have 2 Spark machines at least because th
Yes. I’m following this tutorial but using 0.12.0 instead of 0.10.0:
https://medium.freecodecamp.org/building-an-recommendation-engine-with-apache-prediction-io-ml-server-aed0319e0d8
--
Jim Miller
On September 20, 2017 at 10:51:39 AM, Pat Ferrel (p...@occamsmachete.com) wrote:
meaning is “firs
meaning is “firstcluster” the cluster name in your Elasticsearch configuration?
On Sep 19, 2017, at 8:54 PM, Vaghawan Ojha wrote:
I think the problem is with Elasticsearch, are you sure the cluster exists in
elasticsearch configuration?
On Wed, Sep 20, 2017 at 8:17 AM, Jim Miller mailto:jemi
Hi,
I would like to be able to train and run model on different machines.
The reason is, on my dataset, training takes around 16GB of memory and
deploying only needs 8GB. In order to save money, it would be better
if only a 8GB memory machine is used in production, and only start a
16GB one perha
