Package weka.classifiers.functions

Class Summary

LeastMedSq	Implements a least median sqaured linear regression utilising the existing weka LinearRegression class to form predictions.
LinearRegression	Class for using linear regression for prediction.
Logistic	Second implementation for building and using a multinomial logistic regression model with a ridge estimator.
MultilayerPerceptron	A Classifier that uses backpropagation to classify instances.
PaceRegression	Class for building pace regression linear models and using them for prediction.
RBFNetwork	Class that implements a radial basis function network.
SimpleLinearRegression	Class for learning a simple linear regression model.
SimpleLogistic	Class for building a logistic regression model using LogitBoost.
SMO	Implements John C.
SMOreg	Implements Alex J.Smola and Bernhard Scholkopf sequential minimal optimization algorithm for training a support vector regression using polynomial or RBF kernels.
VotedPerceptron	Implements the voted perceptron algorithm by Freund and Schapire.
Winnow	Implements Winnow and Balanced Winnow algorithms by N.