There are 3984 nodes that can be used as predessesor
for a node with an input port of type Table.
Class that implements a radial basis function network.
Class for constructing a random forest.
A tree that considers K randomly chosen attributes at each node.
Read PNG images from a list of URLs and append them as a new column.
Predicts the response using a regression model.
Fast decision tree learner.
The implementation of a RIpple-DOwn rule learner.
Node to replace the RowID and/or to create a column with the values of the current RowID.
Applies user-defined business rules to the input table
a sequential minimal optimization algorithm for training a SVM.