Uses of Class
de.unistuttgart.isa.liquidsvm.SVM

Packages that use SVM

Package	Description
de.unistuttgart.isa.liquidsvm	liquidSVM contains bindings to Ingo Steinwarts liquidSVM implementation.

Uses of SVM in de.unistuttgart.isa.liquidsvm

Subclasses of SVM in de.unistuttgart.isa.liquidsvm

Modifier and Type	Class and Description
static class	SVM.EX Expectile regression learning scenario.
static class	SVM.LS Least squares regression learning scenario.
static class	SVM.MC Binary and multi-class learning scenario.
static class	SVM.NPL Neyman-Pearson lemma learning scenario.
static class	SVM.QT Quantile regression learning scenario.
static class	SVM.ROC Receiver Operating Characteristic curve learning scenario.

Methods in de.unistuttgart.isa.liquidsvm that return SVM

Modifier and Type	Method and Description
SVM	SVM.setConfig(String name, double value) Sets configuration directly in the SVM.
SVM	SVM.setConfig(String name, double[] value) Sets configuration directly in the SVM.
SVM	SVM.setConfig(String name, int value) Sets configuration directly in the SVM.
SVM	SVM.setConfig(String name, String value) Sets configuration directly in the SVM.
SVM	SVM.setConfigAll(Config config) Sets all the values in the config in this SVM.