0 ×

PMML Compiler

PMML to Java Compiler and Predictor version 4.3.0.v202011191559 by KNIME AG, Zurich, Switzerland

This node translates a PMML model into Java bytecode which can be executed by a Compiled Model Predictor. For some models the precompiled code runs significantly faster than the default implementation. Currently supported PMML models are all those generated by KNIME plus Naive Bayes:

  • Regression
  • SVM
  • MLP
  • K-Means Clustering
  • Decision Trees
  • Naive Bayes
  • Rulesets
  • Ensembles of the above
The generated bytecode can be exported as a JAR file using the Compiled Model to JAR Writer node.


Model package
The package under which the model classes are saved.
Model name
The name of the main model class.

Input Ports

The model to be compiled

Output Ports

The compiled model

Best Friends (Incoming)

Best Friends (Outgoing)



To use this node in KNIME, install KNIME Extension for Apache Spark from the following update site:


A zipped version of the software site can be downloaded here.

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform. Browse NodePit from within KNIME, install nodes with just one click and share your workflows with NodePit Space.


You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.