miguelramosfdz / viennajs-predictionio

Code example for my talk on Machine Learning with Node.js and PredictionIO at Vienna.js on 30 April 2014.

Machine Learning with Node.js and Prediction.io

TV show recommendation engine built in Node.js using Prediction.io.

Talk at Vienna.js on 29 April 2014 by Florian Eckerstorfer

Installation

Requirements

• Vagrant (If you're not familiar with Vagrant, consult the Getting Started guide)
• VirtualBox

First you need to checkout this repository:

$ git clone https://github.com/florianeckerstorfer/viennajs-predictionio

Start the virtual machine:

$ vagrant up

SSH into the virtual machine and create an admin user (follow the instructions):

$ vagrant ssh
$ /opt/PredictionIO/bin/users

You can now access the Prediction.io admin GUI at http://192.168.33.20:9000 and login using the credentials you defined earlier.

Next you should create an application named viennajs-tvshow and add an Item Recommendation Engine named itemrec.

You can stop the virtual machine by typing vagrant halt and no data will be lost. If you want to restart the virtual machine you need to use vagrant up --provision. If you destroy the machine you need to set it up again later (creating the user, application and so on) and all data is lost.

Further information about running Prediction.io using Vagrant exists in the Installing Prediction.io with Vagrant (VirtualBox) guide.

If Prediction.io works you can start the application.

$ vagrant ssh
$ cd /vagrant
$ node app.js

You should no be able to access the web application using http://192.168.33.20:3000.

Dependencies

• Express
• PredictionIO Client (NPM)