Hey guys, I have written a tutorial on deploying MLlib's models on production with open source PredictionIO: http://docs.prediction.io/0.8.1/templates/
The goal is to add the following features to MLlib, with production application in mind: - JSON query to retrieve prediction online - Separation-of-concern software pattern based on the DASE architecture - Support model update with new data This first draft includes examples for Collaborative Filtering and Classification only. I would love to hear your feedback! Regards, Simon
