Uses of Interface
net.sf.tweety.machinelearning.Observation
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Packages that use Observation Package Description net.sf.tweety.machinelearning net.sf.tweety.machinelearning.svm -
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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)
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