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. The workflow makes use of the Create Local Big Data Environment node to create a Spark context. You can swap this node out for a Create Spark Context (Livy) node to connect to a remote cluster.
This is a companion discussion topic for the original entry at https://kni.me/w/Lt3rrdJLWyFo71oJ