This workflow demonstrates the usage of the Spark Compiled Model Predictor node which converts a given PMML model into machine code and uses the compiled model to predict vast amounts of data in parallel within Apache Spark.
EXAMPLES Server: 10_Big_Data/02_Spark_Executor/03_PMML_to_Spark_Comprehensive_Mode_Learning_Mass_Prediction10_Big_Data/02_Spark_Executor/03_PMML_to_Spark_Comprehensive_Mode_Learning_Mass_Prediction*
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