Uses of Class
org.tribuo.common.libsvm.SVMParameters

Packages that use SVMParameters

Package	Description
org.tribuo.anomaly.libsvm	Provides an interface to LibSVM for anomaly detection problems.
org.tribuo.classification.libsvm	Provides an interface to LibSVM for classification problems.
org.tribuo.common.libsvm	The base interface to LibSVM.
org.tribuo.regression.libsvm	Provides an interface to LibSVM for regression problems.

Uses of SVMParameters in org.tribuo.anomaly.libsvm

Constructors in org.tribuo.anomaly.libsvm with parameters of type SVMParameters

Modifier	Constructor	Description
	LibSVMAnomalyTrainer(SVMParameters<Event> parameters)	Creates a one-class LibSVM trainer using the supplied parameters and Trainer.DEFAULT_SEED.
	LibSVMAnomalyTrainer(SVMParameters<Event> parameters, long seed)	Creates a one-class LibSVM trainer using the supplied parameters and RNG seed.

Uses of SVMParameters in org.tribuo.classification.libsvm

Constructors in org.tribuo.classification.libsvm with parameters of type SVMParameters

Modifier	Constructor	Description
	LibSVMClassificationTrainer(SVMParameters<Label> parameters)	Constructs a classification LibSVM trainer using the specified parameters and Trainer.DEFAULT_SEED.
	LibSVMClassificationTrainer(SVMParameters<Label> parameters, long seed)	Constructs a classification LibSVM trainer using the specified parameters and seed.

Uses of SVMParameters in org.tribuo.common.libsvm

Constructors in org.tribuo.common.libsvm with parameters of type SVMParameters

Modifier	Constructor	Description
protected	LibSVMTrainer(SVMParameters<T> parameters, long seed)	Constructs a LibSVMTrainer from the parameters.

Uses of SVMParameters in org.tribuo.regression.libsvm

Constructors in org.tribuo.regression.libsvm with parameters of type SVMParameters

Modifier	Constructor	Description
	LibSVMRegressionTrainer(SVMParameters<Regressor> parameters)	Constructs a LibSVMRegressionTrainer using the supplied parameters without standardizing the regression variables.
	LibSVMRegressionTrainer(SVMParameters<Regressor> parameters, boolean standardize)	Constructs a LibSVMRegressionTrainer using the supplied parameters and Trainer.DEFAULT_SEED.
	LibSVMRegressionTrainer(SVMParameters<Regressor> parameters, boolean standardize, long seed)	Constructs a LibSVMRegressionTrainer using the supplied parameters and seed.