There are 119 nodes that can be used as successor
for a node with an output port of type PMML.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
General PMML predictor for classification that uses the Java PMML API (JPMML library).
General PMML cluster assigner that uses the Java PMML API (JPMML library).
General PMML predictor for regression that uses the Java PMML API (JPMML library).
Generates Java scoring code from a PMML model, compiles it into bytecode and executes it on the given data.
Creates Java code for scoring from a PMML model.
Generates SQL for PMML Decision Trees and Regression models
Transforms data as described in the PMML Transformation Dictionary.
Run R code with a pre-trained R model on a Microsoft SQL Server in a database.