Uses of Class
org.tweetyproject.machinelearning.TrainingSet

Packages that use TrainingSet

Package	Description
org.tweetyproject.machinelearning
org.tweetyproject.machinelearning.svm

Uses of TrainingSet in org.tweetyproject.machinelearning

Methods in org.tweetyproject.machinelearning that return TrainingSet

Modifier and Type	Method	Description
TrainingSet<S,T>	TrainingSet.getObservations(T cat)	Returns all observations of the given category.
static TrainingSet<DefaultObservation,DoubleCategory>	TrainingSet.loadLibsvmTrainingFile(File file)	Loads a training file in LIBSVM syntax

Methods in org.tweetyproject.machinelearning with parameters of type TrainingSet

Modifier and Type	Method	Description
ParameterSet	GridSearchParameterLearner.learnParameters(TrainingSet<S,T> trainingSet)
abstract ParameterSet	ParameterTrainer.learnParameters(TrainingSet<S,T> trainingSet)	Learns the best parameters of the given trainer for the training set.
double	ClassificationTester.test(Classifier classifier, TrainingSet<S,T> trainingSet)	Measures the performance of the given classifier on the given test set, i.e.
abstract double	ClassificationTester.test(Trainer<S,T> trainer, TrainingSet<S,T> trainingSet)	This methods takes a trainer and a training set and returns the performance (in [0,1]) of the trained classifier on the training set (e.g.
double	CrossValidator.test(Trainer<S,T> trainer, TrainingSet<S,T> trainingSet)
Classifier	ParameterTrainer.train(TrainingSet<S,T> trainingSet)
Classifier	ParameterTrainer.train(TrainingSet<S,T> trainingSet, ParameterSet params)
Classifier	Trainer.train(TrainingSet<S,T> trainingSet)	Trains a classifier on the given training set.
Classifier	Trainer.train(TrainingSet<S,T> trainingSet, ParameterSet params)	Trains a classifier on the given training set with the given parameters

Uses of TrainingSet in org.tweetyproject.machinelearning.svm

Methods in org.tweetyproject.machinelearning.svm with parameters of type TrainingSet

Modifier and Type	Method	Description
SupportVectorMachine	MultiClassRbfTrainer.train(TrainingSet<DefaultObservation,DoubleCategory> trainingSet)
SupportVectorMachine	MultiClassRbfTrainer.train(TrainingSet<DefaultObservation,DoubleCategory> trainingSet, ParameterSet params)