Package net.sf.tweety.machinelearning

Interface Summary

Interface	Description
Category	A category within the space of observations.
Classifier	A classifier classifies observations into categories.
Observation	An observation is some data point which can be classified.
Trainer<S extends Observation,T extends Category>

Class Summary

Class	Description
BooleanCategory	A category for one-class classifiers.
ClassificationTester<S extends Observation,T extends Category>	Classes implementing this interface provide the means to test a training mechanism for performance.
CrossValidator<S extends Observation,T extends Category>	Performs cross-validation in a classifier, i.e.
DefaultObservation	A default observation is a vector of double values.
DoubleCategory	A category for multi-class classification using a double as identifier.
GridSearchParameterLearner<S extends Observation,T extends Category>	A grid-search approach for learning parameters.
ParameterSet	A set of parameters that can be given to a trainer to specifiy the training task.
ParameterTrainer<S extends Observation,T extends Category>	Performs a parameter training on a given trainer, i.e.
TrainingParameter	A single parameter for a training method.
TrainingSet<S extends Observation,T extends Category>	A set of observations together with their category.