Package | Description |
---|---|
org.dllearner.algorithms | |
org.dllearner.algorithms.celoe | |
org.dllearner.algorithms.decisiontrees.dsttdt | |
org.dllearner.algorithms.decisiontrees.tdt | |
org.dllearner.algorithms.qtl |
Learning algorithm based on so-called query trees
which are a tree based representation of a (set of) RDF resource(s)
|
org.dllearner.algorithms.qtl.datastructures.impl | |
org.dllearner.algorithms.qtl.operations.lgg | |
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.).
|
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription |
NaiveALLearner.getCurrentlyBestEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
List<? extends EvaluatedDescription<? extends Score>> |
SimpleSubclassLearner.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions) |
List<? extends EvaluatedDescription<? extends Score>> |
DisjointClassesLearner.getCurrentlyBestEvaluatedDescriptions(int nrOfDescriptions) |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription<? extends Score> |
CELOE.getCurrentlyBestEvaluatedDescription() |
EvaluatedDescription |
PCELOE.getCurrentlyBestEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
NavigableSet<? extends EvaluatedDescription<? extends Score>> |
CELOE.getCurrentlyBestEvaluatedDescriptions() |
NavigableSet<? extends EvaluatedDescription<? extends Score>> |
PCELOE.getCurrentlyBestEvaluatedDescriptions() |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription |
DSTTDTClassifier.getCurrentlyBestEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription |
TDTClassifier.getCurrentlyBestEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription |
QTL2DisjunctiveMultiThreaded.getCurrentlyBestEvaluatedDescription() |
EvaluatedDescription |
QTL2Disjunctive.getCurrentlyBestEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription<? extends Score> |
EvaluatedRDFResourceTree.asEvaluatedDescription() |
EvaluatedDescription<? extends Score> |
EvaluatedRDFResourceTree.getEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
void |
EvaluatedRDFResourceTree.setDescription(EvaluatedDescription<? extends Score> description) |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription |
EvaluatedQueryTree.asEvaluatedDescription() |
EvaluatedDescription |
EvaluatedQueryTree.asEvaluatedDescription(QueryTreeImpl.LiteralNodeConversionStrategy strategy) |
EvaluatedDescription |
EvaluatedQueryTree.getEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
void |
EvaluatedQueryTree.setDescription(EvaluatedDescription description) |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription<? extends Score> |
AbstractCELA.getCurrentlyBestEvaluatedDescription()
Returns the best descriptions obtained so far.
|
Modifier and Type | Method and Description |
---|---|
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> |
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<? 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() |
Modifier and Type | Class and Description |
---|---|
class |
EvaluatedDescriptionClass
An evaluated OWLClassExpression for learning classes in ontologies.
|
class |
EvaluatedDescriptionPosNeg
This represents a class description, which has been
evaluated by the learning algorithm, i.e.
|
class |
EvaluatedDescriptionPosOnly |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription |
ClassAsInstanceLearningProblem.evaluate(org.semanticweb.owlapi.model.OWLClassExpression description) |
EvaluatedDescription |
PosNegLPStrict.evaluate(org.semanticweb.owlapi.model.OWLClassExpression description) |
EvaluatedDescription |
FuzzyPosNegLPStandard.evaluate(org.semanticweb.owlapi.model.OWLClassExpression description) |
EvaluatedDescription |
PosNegLPStandard.evaluate(org.semanticweb.owlapi.model.OWLClassExpression description,
double noise) |
EvaluatedDescription<ScorePosOnly<org.semanticweb.owlapi.model.OWLNamedIndividual>> |
PosOnlyLP.evaluate(org.semanticweb.owlapi.model.OWLClassExpression description,
double noise) |
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
|
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription<?> |
DescriptionSubsumptionTree.Node.getEvalDesc() |
Modifier and Type | Method and Description |
---|---|
List<EvaluatedDescription<? extends Score>> |
DescriptionSubsumptionTree.getMostGeneralDescriptions(boolean distinct) |
List<EvaluatedDescription<? extends Score>> |
DescriptionSubsumptionTree.Node.getOrderedBySubsumptionAndAccuracy(boolean distinct) |
Modifier and Type | Method and Description |
---|---|
void |
DescriptionSubsumptionTree.insert(Collection<? extends EvaluatedDescription<? extends Score>> evaluatedDescriptions) |
Constructor and Description |
---|
Node(EvaluatedDescription ed) |
Node(EvaluatedDescription<? extends Score> ed,
boolean root) |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescription<? extends Score> |
EvaluatedDescriptionSet.getBest() |
EvaluatedDescription<? extends Score> |
EvaluatedDescriptionSet.getWorst() |
Modifier and Type | Method and Description |
---|---|
NavigableSet<EvaluatedDescription<? extends Score>> |
EvaluatedDescriptionSet.getSet() |
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.
|
int |
EvaluatedDescriptionComparator.compare(EvaluatedDescription<? extends Score> ed1,
EvaluatedDescription<? extends Score> ed2) |
int |
EvaluatedDescriptionComparator.compare(EvaluatedDescription<? extends Score> ed1,
EvaluatedDescription<? extends Score> ed2) |
DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann