There are 5547 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Combines several classifiers using the stacking method.
Implements StackingC (more efficient version of stacking).
A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier.
Class for combining classifiers. Different combinations of probability estimates for classification are available.
Fuzzy Lattice Reasoning Classifier (FLR) v5.0
Class implementing a HyperPipe classifier.
This class is an implementation of the minimal and maximal extension.
This class is an implementation of the Ordinal Learning Method.
This class is an implementation of the Ordinal Stochastic Dominance Learner.
Classification by voting feature intervals.