Uses of Class
jsat.classifiers.svm.SupportVectorLearner

Packages that use SupportVectorLearner

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

Uses of SupportVectorLearner in jsat.classifiers.linear.kernelized

Subclasses of SupportVectorLearner in jsat.classifiers.linear.kernelized

Modifier and Type	Class and Description
class	CSKLRBatch An implementation of Conservative Stochastic Kernel Logistic Regression.

Uses of SupportVectorLearner in jsat.classifiers.svm

Subclasses of SupportVectorLearner in jsat.classifiers.svm

Modifier and Type	Class and Description
class	DCSVM This is an implementation of the Divide-and-Conquer Support Vector Machine (DC-SVM).
class	LSSVM The Least Squares Support Vector Machine (LS-SVM) is an alternative to the standard SVM classifier for regression and binary classification problems.
class	PegasosK Implements the kernelized version of the Pegasos algorithm for SVMs.
class	PlattSMO An implementation of SVMs using Platt's Sequential Minimum Optimization (SMO) for both Classification and Regression problems.
class	SBP Implementation of the Stochastic Batch Perceptron (SBP) algorithm.
class	SVMnoBias This class implements a version of the Support Vector Machine without a bias term.

Constructors in jsat.classifiers.svm with parameters of type SupportVectorLearner

Constructor and Description
SupportVectorLearner(SupportVectorLearner toCopy) Copy constructor