Node Connectivity
There are 2868 nodes that can be used as successor
for a node with an output port of type 
Table.
MultilayerPerceptron (3.7)
A Classifier that uses backpropagation to classify instances. This network can be built by hand, created by an algorithm or both
PaceRegression (3.7)
Class for building pace regression linear models and using them for prediction
RBFClassifier (3.7)
Class implementing radial basis function networks for classification, trained in a fully supervised manner using WEKA's Optimization class by minimizing […]
RBFNetwork (3.7)
Class that implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and […]
RBFRegressor (3.7)
Class implementing radial basis function networks for classification, trained in a fully supervised manner using WEKA's Optimization class by minimizing […]
SGD (3.7)
Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and […]
SGDText (3.7)
Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data
SMO (3.7)
Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. This implementation globally replaces all […]
SMOreg (3.7)
SMOreg implements the support vector machine for regression
SPegasos (3.7)
Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al