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

Packages that use Config

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

Uses of Config in de.unistuttgart.isa.liquidsvm

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

Modifier and Type	Method and Description
Config	Config.adaptivityControl(int d) Activates adaptivity in the hyperparameter grid.
Config	Config.display(int d) Sets the display level starting at 0 which means no information.
Config	Config.folds(int d)
Config	Config.gridChoice(int d) Sets the hyperparameter grid.
Config	Config.partitionChoice(int d) Sets the partition choice.
Config	Config.randomSeed(int d)
Config	Config.scale(boolean d)
Config	Config.scenario(String scenario) Sets the scenario.
Config	Config.select(boolean b) Specifies whether selecting should start automagically at the end of initializing the SVM after the automatic training.
Config	Config.set(String key, String value) Sets the value for the key and remembers the order in which it was added.
Config	Config.threads(int d) Sets the number of threads to use.
Config	Config.train(boolean b) Specifies whether training should start automagically at the end of initializing the SVM.
Config	Config.useCells()
Config	Config.useCells(boolean b)
Config	Config.voronoi(int d)

Methods in de.unistuttgart.isa.liquidsvm with parameters of type Config

Modifier and Type	Method and Description
SVM	SVM.setConfigAll(Config config) Sets all the values in the config in this SVM.

Constructors in de.unistuttgart.isa.liquidsvm with parameters of type Config

Constructor and Description
Config(Config other)
EX(double[][] data, double[] labels, double[] weights, Config config)
EX(LiquidData.Data data, double[] weights, Config config)
EX(LiquidData data, double[] weights, Config config)
LS(double[][] data, double[] labels, Config config)
LS(double[][] data, double[] labels, double clipping, Config config)
LS(LiquidData.Data data, Config config)
LS(LiquidData.Data data, double clipping, Config config)
LS(LiquidData data, Config config)
LS(LiquidData data, double clipping, Config config)
MC(double[][] data, double[] labels, Config config)
MC(double[][] data, double[] labels, String mcType, Config config)
MC(LiquidData.Data data, Config config)
MC(LiquidData.Data data, String mcType, Config config)
MC(LiquidData data, Config config)
MC(LiquidData data, String mcType, Config config)
NPL(double[][] data, double[] labels, double nplClass, double constraint, double[] constraintFactors, Config config)
NPL(LiquidData.Data data, double nplClass, double constraint, double[] constraintFactors, Config config)
NPL(LiquidData data, double nplClass, double constraint, double[] constraintFactors, Config config)
QT(double[][] data, double[] labels, double[] weights, Config config)
QT(LiquidData.Data data, double[] weights, Config config)
QT(LiquidData data, double[] weights, Config config)
ROC(double[][] data, double[] labels, int weightSteps, Config config)
ROC(LiquidData.Data data, int weightSteps, Config config)
ROC(LiquidData data, int weightSteps, Config config)
SVM(String scenario, double[][] data, double[] labels, Config config) Initializes an SVM with training data and optionally configuration options and a scenario.
SVM(String scenario, LiquidData.Data data, Config config) Initializes an SVM with training data and optionally configuration options and a scenario.
SVM(String scenario, LiquidData data, Config config) Initializes an SVM with training data and optionally configuration options and a scenario and performs testing.