I have a Ubuntu machine which PredictionIo (0.9.7-aml) installed on it,
I have two application both based on Universal recommender template.
I trained both of the apps and deployed them on different ports .
Results of the apps were quite normal but the problem which I figured out later
is that one of the apps was predicting items with score zero so I retrained it
then scores become normal numbers but after this action (retraining) the other
app start returning empty results, so I retrained that one and then the first
one returned zero score items again .
This is like closed circle and retraining each of apps causes the other app
return empty results or abnormal zero scored results.
From: Pat Ferrel<mailto:p...@occamsmachete.com>
Sent: Thursday, January 12, 2017 5:57 PM
Subject: Re: Multiple apps problem
This forum is to support Apache PIO, and the latest UR runs on it so I advise
you upgrade. Instructions are here on actionml.com<http://actionml.com> or here
for Apache PIO: http://predictionio.incubator.apache.org/install/
I don't understand your explanation, there should be one train per
PredictionServer, you can't have one PS and two "engines" or configurations.
The 2 engines must be on 2 different ports if deployed separately.
Can you explain your setup and what you are trying to do?
On Jan 12, 2017, at 7:39 AM, Hossein Bahrami
I have a very strange problem. I have two application running on one
predictionio engine, each time I train one of them the other one's predictions
returning zero score items for one of them and no items at all for the other.
I am using UR algorithm for both of apps
pio version : 0.9.7-aml