Uses of Class
org.dllearner.core.Score

Packages that use Score

Package	Description
org.dllearner.algorithms
org.dllearner.algorithms.celoe
org.dllearner.algorithms.el	Learning algorithms for the EL description logic.
org.dllearner.algorithms.qtl.datastructures.impl
org.dllearner.core	Core structure of DL-Learner including the definition of component types and a component manager.
org.dllearner.learningproblems	Supported DL-Learner learning problems.
org.dllearner.utilities.datastructures	Utility classesfor manipulating general data structures.
org.dllearner.utilities.owl	OWL utility classes (file manipulation, converting between different formats, orderings on OWL structures etc.).

Uses of Score in org.dllearner.algorithms

Methods in org.dllearner.algorithms that return types with arguments of type Score

Modifier and Type	Method and Description
List<? extends EvaluatedDescription<? extends Score>>	SimpleSubclassLearner.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions)
List<? extends EvaluatedDescription<? extends Score>>	DisjointClassesLearner.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions)

Uses of Score in org.dllearner.algorithms.celoe

Methods in org.dllearner.algorithms.celoe that return types with arguments of type Score

Modifier and Type	Method and Description
EvaluatedDescription<? extends Score>	CELOE.getCurrentlyBestEvaluatedDescription()
NavigableSet<? extends EvaluatedDescription<? extends Score>>	CELOE.getCurrentlyBestEvaluatedDescriptions()
NavigableSet<? extends EvaluatedDescription<? extends Score>>	PCELOE.getCurrentlyBestEvaluatedDescriptions()

Uses of Score in org.dllearner.algorithms.el

Methods in org.dllearner.algorithms.el that return Score

Modifier and Type	Method and Description
Score	SearchTreeNode.getScore()

Methods in org.dllearner.algorithms.el with parameters of type Score

Modifier and Type	Method and Description
void	SearchTreeNode.setScore(Score score)

Uses of Score in org.dllearner.algorithms.qtl.datastructures.impl

Methods in org.dllearner.algorithms.qtl.datastructures.impl that return types with arguments of type Score

Modifier and Type	Method and Description
EvaluatedDescription<? extends Score>	EvaluatedRDFResourceTree.asEvaluatedDescription()
EvaluatedDescription<? extends Score>	EvaluatedRDFResourceTree.getEvaluatedDescription()

Method parameters in org.dllearner.algorithms.qtl.datastructures.impl with type arguments of type Score

Modifier and Type	Method and Description
void	EvaluatedRDFResourceTree.setDescription(EvaluatedDescription<? extends Score> description)

Uses of Score in org.dllearner.core

Classes in org.dllearner.core with type parameters of type Score

Modifier and Type	Class and Description
class	AbstractClassExpressionLearningProblem<T extends Score> Base class for all class expression learning problems.
class	AbstractLearningProblem<T extends Score,V extends org.semanticweb.owlapi.model.OWLObject,W extends EvaluatedHypothesis<V,T>> Base class for all learning problems.
class	EvaluatedDescription<S extends Score> An evaluated class expression is a class expression and its score (with some convenience method and serialisation formats).
class	EvaluatedHypothesis<T extends org.semanticweb.owlapi.model.OWLObject,S extends Score> An evaluated hypothesis is a hypothesis and its score.

Methods in org.dllearner.core that return types with arguments of type Score

Modifier and Type	Method and Description
EvaluatedDescription<? extends Score>	AbstractCELA.getCurrentlyBestEvaluatedDescription() Returns the best descriptions obtained so far.
NavigableSet<? extends EvaluatedDescription<? extends Score>>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions() Returns a sorted set of the best descriptions found so far.
List<? extends EvaluatedDescription<? extends Score>>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions(double accuracyThreshold) Returns a fraction of class descriptions with sufficiently high accuracy.
List<? extends EvaluatedDescription<? extends Score>>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions) Return the best currently found concepts up to some maximum count (no minimality filter used).
List<? extends EvaluatedDescription<? extends Score>>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions, double accuracyThreshold, boolean filterNonMinimalDescriptions) Returns a filtered list of currently best class descriptions.
List<? extends EvaluatedDescription<? extends Score>>	AbstractCELA.getCurrentlyBestMostGeneralEvaluatedDescriptions()
AbstractClassExpressionLearningProblem<? extends Score>	AbstractCELA.getLearningProblem() The learning problem variable, which must be used by all learning algorithm implementations.

Uses of Score in org.dllearner.learningproblems

Subclasses of Score in org.dllearner.learningproblems

Modifier and Type	Class and Description
class	AxiomScore
class	ClassScore The score of a class in ontology engineering.
class	QueryTreeScore
class	ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity> The score class is used to store how well a class description did on a learning problem.
class	ScorePosOnly<T extends org.semanticweb.owlapi.model.OWLEntity>
class	ScoreSimple A simple score implementation which only contains the accuracy.
class	ScoreThreeValued<T extends org.semanticweb.owlapi.model.OWLEntity> Computes the score (a negative value) by comparing the classification results with ideal results.
class	ScoreTwoValued<T extends org.semanticweb.owlapi.model.OWLEntity> Calculates accuracy and score (with respect to some length penalty) of a class description.

Uses of Score in org.dllearner.utilities.datastructures

Fields in org.dllearner.utilities.datastructures with type parameters of type Score

Modifier and Type	Field and Description
SortedSet<EvaluatedDescription<? extends Score>>	DescriptionSubsumptionTree.Node.equivalents holds descriptions of nodes with equivalent classes should be ordered by length

Methods in org.dllearner.utilities.datastructures that return types with arguments of type Score

Modifier and Type	Method and Description
List<EvaluatedDescription<? extends Score>>	DescriptionSubsumptionTree.getMostGeneralDescriptions(boolean distinct)
List<EvaluatedDescription<? extends Score>>	DescriptionSubsumptionTree.Node.getOrderedBySubsumptionAndAccuracy(boolean distinct)

Method parameters in org.dllearner.utilities.datastructures with type arguments of type Score

Modifier and Type	Method and Description
void	DescriptionSubsumptionTree.insert(Collection<? extends EvaluatedDescription<? extends Score>> evaluatedDescriptions)

Constructor parameters in org.dllearner.utilities.datastructures with type arguments of type Score

Constructor and Description
Node(EvaluatedDescription<? extends Score> ed, boolean root)

Uses of Score in org.dllearner.utilities.owl

Methods in org.dllearner.utilities.owl that return types with arguments of type Score

Modifier and Type	Method and Description
EvaluatedDescription<? extends Score>	EvaluatedDescriptionSet.getBest()
NavigableSet<EvaluatedDescription<? extends Score>>	EvaluatedDescriptionSet.getSet()
EvaluatedDescription<? extends Score>	EvaluatedDescriptionSet.getWorst()

Method parameters in org.dllearner.utilities.owl with type arguments of type Score

Modifier and Type	Method and Description
void	EvaluatedDescriptionSet.add(EvaluatedDescription<? extends Score> ed) Adds an evaluated description to this set and ensures that the size does not exceed the limit.
void	EvaluatedDescriptionSet.add(org.semanticweb.owlapi.model.OWLClassExpression description, double accuracy, AbstractClassExpressionLearningProblem<? extends Score> problem) Adds an class expression to this set.
int	EvaluatedDescriptionComparator.compare(EvaluatedDescription<? extends Score> ed1, EvaluatedDescription<? extends Score> ed2)
int	EvaluatedDescriptionComparator.compare(EvaluatedDescription<? extends Score> ed1, EvaluatedDescription<? extends Score> ed2)