Package | Description |
---|---|
org.dllearner.algorithms.gp |
Genetic Programming Learning Algorithm.
|
org.dllearner.algorithms.hybridgp |
Hybrid Learning Algorithm: A combination of Genetic Programming and Refinement Operators.
|
org.dllearner.algorithms.ocel |
New experimental refinement operator approach, which takes
obtained information about concrete examples in an algorithm run
stronger into account.
|
org.dllearner.learningproblems |
Supported DL-Learner learning problems.
|
Modifier and Type | Method and Description |
---|---|
ScorePosNeg |
Program.getScore() |
Constructor and Description |
---|
Program(ScorePosNeg score,
org.semanticweb.owlapi.model.OWLClassExpression hypothesis)
Create a new program.
|
Program(ScorePosNeg score,
org.semanticweb.owlapi.model.OWLClassExpression hypothesis,
org.semanticweb.owlapi.model.OWLClassExpression adc) |
Modifier and Type | Field and Description |
---|---|
SortedMap<org.semanticweb.owlapi.model.OWLClassExpression,ScorePosNeg> |
Psi.evalCache |
Modifier and Type | Method and Description |
---|---|
ScorePosNeg |
OCEL.getSolutionScore() |
Modifier and Type | Class and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
ScorePosNeg |
PosNegLPStrict.computeScore(org.semanticweb.owlapi.model.OWLClassExpression concept) |
ScorePosNeg<org.semanticweb.owlapi.model.OWLClass> |
ClassAsInstanceLearningProblem.computeScore(org.semanticweb.owlapi.model.OWLClassExpression description,
double noise) |
ScorePosNeg |
PosNegLPStandard.computeScore(org.semanticweb.owlapi.model.OWLClassExpression concept,
double noise)
Computes score of a given concept using the reasoner.
|
ScorePosNeg<org.semanticweb.owlapi.model.OWLNamedIndividual> |
PosNegLPStrict.computeScore(org.semanticweb.owlapi.model.OWLClassExpression ce,
double noise) |
ScorePosNeg<org.semanticweb.owlapi.model.OWLNamedIndividual> |
FuzzyPosNegLPStandard.computeScore(org.semanticweb.owlapi.model.OWLClassExpression concept,
double noise) |
abstract ScorePosNeg<T> |
ScorePosNeg.getModifiedLengthScore(int newLength)
The score of a concept depends on how good it classifies the
examples of a learning problem and the length of the concept
itself.
|
ScorePosNeg<T> |
ScoreThreeValued.getModifiedLengthScore(int newLength) |
ScorePosNeg<T> |
ScoreTwoValued.getModifiedLengthScore(int newLength) |
ScorePosNeg |
EvaluatedDescriptionPosNeg.getScore()
Gets the score of this description.
|
Constructor and Description |
---|
EvaluatedDescriptionPosNeg(org.semanticweb.owlapi.model.OWLClassExpression description,
ScorePosNeg score)
Constructs an evaluated description using its score.
|
DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann