Package | Description |
---|---|
org.dllearner.core |
Core structure of DL-Learner including the definition of component types and a component manager.
|
org.dllearner.core.probabilistic.unife | |
org.dllearner.learningproblems |
Supported DL-Learner learning problems.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractClassExpressionLearningProblem<T extends Score>
Base class for all class expression learning problems.
|
Modifier and Type | Method and Description |
---|---|
AbstractLearningProblem |
AbstractPSLA.getLearningProblem()
The learning problem variable, which must be used by all learning
algorithm implementations.
|
AbstractLearningProblem |
AbstractParameterLearningAlgorithm.getLearningProblem()
The learning problem variable, which must be used by all learning
algorithm implementations.
|
Constructor and Description |
---|
AbstractParameterLearningAlgorithm(AbstractLearningProblem learningProblem,
Set<org.semanticweb.owlapi.model.OWLAxiom> targetAxioms) |
Modifier and Type | Class and Description |
---|---|
class |
ClassAsInstanceLearningProblem
A learning problem in which positive and negative examples are classes, i.e.
|
class |
ClassExpressionLearningProblem
The problem of learning the OWL class expression for another OWL class expression
in an OWL ontology.
|
class |
ClassLearningProblem
The problem of learning the OWL class expression of an existing class
in an OWL ontology.
|
class |
FuzzyPosNegLP |
class |
FuzzyPosNegLPStandard
The aim of this learning problem is to learn a concept definition such that
the positive examples and the negative examples do not follow.
|
class |
PosNegLP |
class |
PosNegLPStandard
The aim of this learning problem is to learn a concept definition such that
the positive examples and the negative examples do not follow.
|
class |
PosNegLPStrict |
class |
PosNegUndLP
A ternary learning problem (positive, negative and uncertain instances) to manage the problem of the Open World Assumption
typically employed for ontologies
|
class |
PosOnlyLP
A learning problem, where we learn from positive examples only.
|
class |
PropertyAxiomLearningProblem<T extends org.semanticweb.owlapi.model.OWLPropertyAxiom> |
DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann