DeprecatedKNIME Base Nodes version 3.6.0.v201807061308 by KNIME AG, Zurich, Switzerland
Implementation of the RProp algorithm for multilayer feedforward networks.
RPROP performs a local adaptation of the weight-updates according to the
behavior of the error function.
For further details see: Riedmiller, M. Braun, H. : "A direct adaptive method for faster
backpropagation learning: theRPROP algorithm",Proceedings of the IEEE
International Conference on Neural Networks (ICNN) (Vol. 16, pp. 586-591).
Piscataway, NJ: IEEE.
This node provides a view of the error plot.
If the optional PMML inport is connected and contains preprocessing operations in the TransformationDictionary those are added to the learned model.
To use this node in KNIME, install KNIME Base Nodes from the following update site: