Node Connectivity
There are 5562 nodes that can be used as predessesor
for a node with an input port of type 
Generic Port.
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
SimpleLinearRegression (3.7)
Learns a simple linear regression model
SimpleLogistic (3.7)
Classifier for building linear logistic regression models
VotedPerceptron (3.7)
Implementation of the voted perceptron algorithm by Freund and Schapire
Winnow (3.7)
Implements Winnow and Balanced Winnow algorithms by Littlestone. For more information, see N
IB1 (3.7)
Nearest-neighbour classifier