functions
This category contains 21 nodes.
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
SimpleLinearRegression (3.7)
Learns a simple linear regression model
SimpleLogistic (3.7)
Classifier for building linear logistic regression models
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
VotedPerceptron (3.7)
Implementation of the voted perceptron algorithm by Freund and Schapire