Uses of Interface
net.sf.tweety.machinelearning.Observation

Packages that use Observation

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

Uses of Observation in net.sf.tweety.machinelearning

Classes in net.sf.tweety.machinelearning with type parameters of type Observation

Modifier and Type	Class	Description
class	ClassificationTester<S extends Observation,T extends Category>	Classes implementing this interface provide the means to test a training mechanism for performance.
class	CrossValidator<S extends Observation,T extends Category>	Performs cross-validation in a classifier, i.e.
class	GridSearchParameterLearner<S extends Observation,T extends Category>	A grid-search approach for learning parameters.
class	ParameterTrainer<S extends Observation,T extends Category>	Performs a parameter training on a given trainer, i.e.
interface	Trainer<S extends Observation,T extends Category>
class	TrainingSet<S extends Observation,T extends Category>	A set of observations together with their category.

Classes in net.sf.tweety.machinelearning that implement Observation

Modifier and Type	Class	Description
class	DefaultObservation	A default observation is a vector of double values.

Methods in net.sf.tweety.machinelearning with parameters of type Observation

Modifier and Type	Method	Description
Category	Classifier.classify(Observation obs)	Classifies the given observation.

Uses of Observation in net.sf.tweety.machinelearning.svm

Methods in net.sf.tweety.machinelearning.svm with parameters of type Observation

Modifier and Type	Method	Description
Category	SupportVectorMachine.classify(Observation obs)