Mass Learning Event Prediction MLlib to PMML

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.

Mass Learning Event Prediction MLlib to PMML

 

Resources

EXAMPLES Server: 10_Big_Data/02_Spark_Executor/02_Mass_Learning_Event_Prediction_MLlib_to_PMML10_Big_Data/02_Spark_Executor/02_Mass_Learning_Event_Prediction_MLlib_to_PMML*
Download a zip-archive

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually