Uses of Package
jsat.classifiers.svm

Packages that use jsat.classifiers.svm

Package	Description
jsat.classifiers.linear.kernelized
jsat.classifiers.svm

Classes in jsat.classifiers.svm used by jsat.classifiers.linear.kernelized

Class and Description
SupportVectorLearner Base class for support vector style learners.
SupportVectorLearner.CacheMode Determines how the final kernel values are cached.

Classes in jsat.classifiers.svm used by jsat.classifiers.svm

Class and Description
DCD Implements Dual Coordinate Descent (DCD) training algorithms for a Linear L1 or L2 Support Vector Machine for binary classification and regression.
DCDs Implements Dual Coordinate Descent with shrinking (DCDs) training algorithms for a Linear L1 or L2 Support Vector Machine for binary classification and regression.
DCSVM This is an implementation of the Divide-and-Conquer Support Vector Machine (DC-SVM).
LSSVM The Least Squares Support Vector Machine (LS-SVM) is an alternative to the standard SVM classifier for regression and binary classification problems.
Pegasos Implements the linear kernel mini-batch version of the Pegasos SVM classifier.
PegasosK Implements the kernelized version of the Pegasos algorithm for SVMs.
PlattSMO An implementation of SVMs using Platt's Sequential Minimum Optimization (SMO) for both Classification and Regression problems.
SBP Implementation of the Stochastic Batch Perceptron (SBP) algorithm.
SupportVectorLearner Base class for support vector style learners.
SupportVectorLearner.CacheMode Determines how the final kernel values are cached.
SVMnoBias This class implements a version of the Support Vector Machine without a bias term.