Uses of Package
net.sf.tweety.machinelearning

Packages that use net.sf.tweety.machinelearning

Package	Description
net.sf.tweety.machinelearning
net.sf.tweety.machinelearning.svm

Classes in net.sf.tweety.machinelearning used by net.sf.tweety.machinelearning

Class	Description
Category	A category within the space of observations.
ClassificationTester	Classes implementing this interface provide the means to test a training mechanism for performance.
Classifier	A classifier classifies observations into categories.
DefaultObservation	A default observation is a vector of double values.
DoubleCategory	A category for multi-class classification using a double as identifier.
Observation	An observation is some data point which can be classified.
ParameterSet	A set of parameters that can be given to a trainer to specifiy the training task.
ParameterTrainer	Performs a parameter training on a given trainer, i.e.
Trainer
TrainingParameter	A single parameter for a training method.
TrainingSet	A set of observations together with their category.

Classes in net.sf.tweety.machinelearning used by net.sf.tweety.machinelearning.svm

Class	Description
Category	A category within the space of observations.
Classifier	A classifier classifies observations into categories.
DefaultObservation	A default observation is a vector of double values.
DoubleCategory	A category for multi-class classification using a double as identifier.
Observation	An observation is some data point which can be classified.
ParameterSet	A set of parameters that can be given to a trainer to specifiy the training task.
Trainer
TrainingParameter	A single parameter for a training method.
TrainingSet	A set of observations together with their category.