Uses of Class
org.dllearner.core.EvaluatedDescription

Packages that use EvaluatedDescription

org.dllearner.algorithms	Learning Algorithms.
org.dllearner.algorithms.celoe
org.dllearner.algorithms.el	Learning algorithms for the EL description logic.
org.dllearner.algorithms.fuzzydll
org.dllearner.algorithms.isle
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.learningproblems.fuzzydll
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 EvaluatedDescription in org.dllearner.algorithms

Methods in org.dllearner.algorithms that return EvaluatedDescription

EvaluatedDescription

RandomGuesser.getCurrentlyBestEvaluatedDescription()

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

List<? extends EvaluatedDescription>	DisjointClassesLearner.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions)
List<? extends EvaluatedDescription>	SimpleSubclassLearner.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions)

Uses of EvaluatedDescription in org.dllearner.algorithms.celoe

Methods in org.dllearner.algorithms.celoe that return EvaluatedDescription

EvaluatedDescription

CELOE.getCurrentlyBestEvaluatedDescription()

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

TreeSet<? extends EvaluatedDescription>

CELOE.getCurrentlyBestEvaluatedDescriptions()

Uses of EvaluatedDescription in org.dllearner.algorithms.el

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

EvaluatedDescription	ELLearningAlgorithmDisjunctive.getCurrentlyBestEvaluatedDescription()
EvaluatedDescription	ELLearningAlgorithm.getCurrentlyBestEvaluatedDescription()

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

TreeSet<? extends EvaluatedDescription>

ELLearningAlgorithm.getCurrentlyBestEvaluatedDescriptions()

Uses of EvaluatedDescription in org.dllearner.algorithms.fuzzydll

Methods in org.dllearner.algorithms.fuzzydll that return EvaluatedDescription

EvaluatedDescription

FuzzyCELOE.getCurrentlyBestEvaluatedDescription()

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

TreeSet<? extends EvaluatedDescription>	FuzzyCELOE.getCurrentlyBestEvaluatedDescriptions()
List<? extends EvaluatedDescription>	FuzzyCELOE.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions)

Uses of EvaluatedDescription in org.dllearner.algorithms.isle

Methods in org.dllearner.algorithms.isle that return EvaluatedDescription

EvaluatedDescription

ISLE.getCurrentlyBestEvaluatedDescription()

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

TreeSet<? extends EvaluatedDescription>

ISLE.getCurrentlyBestEvaluatedDescriptions()

Uses of EvaluatedDescription in org.dllearner.core

Methods in org.dllearner.core that return EvaluatedDescription

abstract EvaluatedDescription	AbstractLearningProblem.evaluate(Description description) Evaluates the description by computing the score and returning an evaluated description of the correct type (ClassLearningProblem returns EvaluatedDescriptionClass instead of generic EvaluatedDescription).
abstract EvaluatedDescription	AbstractCELA.getCurrentlyBestEvaluatedDescription() Returns the best descriptions obtained so far.

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

TreeSet<? extends EvaluatedDescription>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions() Returns a sorted set of the best descriptions found so far.
List<? extends EvaluatedDescription>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions(double accuracyThreshold) Returns a fraction of class descriptions with sufficiently high accuracy.
List<? extends EvaluatedDescription>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions) Return the best currently found concepts up to some maximum count (no minimality filter used).
List<? extends EvaluatedDescription>	ClassExpressionLearningAlgorithm.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions) Return the best currently found concepts up to some maximum count (no minimality filter used).
List<? extends EvaluatedDescription>	FuzzyClassExpressionLearningAlgorithm.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions) Return the best currently found concepts up to some maximum count (no minimality filter used).
List<? extends EvaluatedDescription>	AbstractCELA.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions, double accuracyThreshold, boolean filterNonMinimalDescriptions) Returns a filtered list of currently best class descriptions.
List<? extends EvaluatedDescription>	AbstractCELA.getCurrentlyBestMostGeneralEvaluatedDescriptions()

Uses of EvaluatedDescription in org.dllearner.learningproblems

Subclasses of EvaluatedDescription in org.dllearner.learningproblems

class	EvaluatedDescriptionClass An evaluated description for learning classes in ontologies.
class	EvaluatedDescriptionPosNeg This represents a class description, which has been evaluated by the learning algorithm, i.e. it has been checked which examples it covers.
class	EvaluatedDescriptionPosOnly

Methods in org.dllearner.learningproblems that return EvaluatedDescription

EvaluatedDescription	PosNegLPStrict.evaluate(Description description)
EvaluatedDescription	PosNegLPStandard.evaluate(Description description)

Uses of EvaluatedDescription in org.dllearner.learningproblems.fuzzydll

Methods in org.dllearner.learningproblems.fuzzydll that return EvaluatedDescription

EvaluatedDescription

FuzzyPosNegLPStandard.evaluate(Description description)

Uses of EvaluatedDescription in org.dllearner.utilities.datastructures

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

SortedSet<EvaluatedDescription>

DescriptionSubsumptionTree.Node.equivalents holds descriptions of nodes with equivalent classes should be ordered by length

Methods in org.dllearner.utilities.datastructures that return EvaluatedDescription

EvaluatedDescription

DescriptionSubsumptionTree.Node.getEvalDesc()

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

List<EvaluatedDescription>	DescriptionSubsumptionTree.getMostGeneralDescriptions(boolean distinct)
List<EvaluatedDescription>	DescriptionSubsumptionTree.Node.getOrderedBySubsumptionAndAccuracy(boolean distinct)

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

void	DescriptionSubsumptionTree.insert(Collection<? extends EvaluatedDescription> evaluatedDescriptions)

Constructors in org.dllearner.utilities.datastructures with parameters of type EvaluatedDescription

DescriptionSubsumptionTree.Node(EvaluatedDescription ed)

DescriptionSubsumptionTree.Node(EvaluatedDescription ed, boolean root)

Uses of EvaluatedDescription in org.dllearner.utilities.owl

Methods in org.dllearner.utilities.owl that return EvaluatedDescription

EvaluatedDescription	EvaluatedDescriptionSet.getBest()
EvaluatedDescription	EvaluatedDescriptionSet.getWorst()

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

TreeSet<EvaluatedDescription>

EvaluatedDescriptionSet.getSet()

Methods in org.dllearner.utilities.owl with parameters of type EvaluatedDescription

void	EvaluatedDescriptionSet.add(EvaluatedDescription ed)
int	EvaluatedDescriptionComparator.compare(EvaluatedDescription ed1, EvaluatedDescription ed2)