This workflow demonstrates the usage of the Spark MLlib to PMML node. Together with the Compiled Model Predictor and the JSON Input/Output node it can be used to model a so called lambda architecture which learns a machine learning model at scale on historical data offline and predicts events online using the learned model.
This is a companion discussion topic for the original entry at https://kni.me/w/n4d0ylnJbe8pX1M8