There are 5702 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Applies regression from a tree ensemble model by using the mean of the individual predictions.
Creates a distance measure based on the proximity induced by the given random forest model.
Extracts individual decision trees from a tree ensemble model.
Provides basic statistics on the ensemble and its trees
Extracts individual decision trees from a tree ensemble model.
Classifies a set of test data based on the k Nearest Neighbor algorithm using the training data.
Classifies a set of test data based on the k Nearest Neighbor algorithm using the training data.
Classifies a set of test data based on the k Nearest Neighbor algorithm using the training data.
Creates a k-nearest neighbor model from a data table.
Collects PMML from a loop and outputs a pmml ensemble.