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.

EXAMPLES Server: 10_Big_Data/02_Spark_Executor/02_Mass_Learning_Event_Prediction_MLlib_to_PMML*
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