There are 3949 nodes that can be used as predessesor
for a node with an input port of type Table.
Predicts output values based on a trained MLP.
Trains a Probabilistic Neural Network (PNN) on labeled data.
Applies a PNN Model to numeric data and outputs a classification.
Applies a PNN Model to numeric data and outputs a classification.
Uses an existing decision tree to compute class labels for input vectors.
Uses an existing decision tree to compute class labels for input vectors.
Converts a decision tree model to PMML RuleSet model.
Applies regression from a regression tree model stored in PMML format.
Applies regression from a regression tree model.
Applies regression from a regression tree model by using the mean of the individual predictions.