Package | Description |
---|---|
org.dllearner.algorithms.decisiontrees.dsttdt | |
org.dllearner.algorithms.decisiontrees.dsttdt.models |
Modifier and Type | Method and Description |
---|---|
DSTDLTree |
DSTTDTClassifier.getCurrentmodel() |
DSTDLTree |
DSTTDTClassifier.induceDSTDLTree(SortedSet<org.semanticweb.owlapi.model.OWLIndividual> posExs,
SortedSet<org.semanticweb.owlapi.model.OWLIndividual> negExs,
SortedSet<org.semanticweb.owlapi.model.OWLIndividual> undExs) |
Modifier and Type | Method and Description |
---|---|
int |
DSTTDTClassifier.classifyExamplesDST(org.semanticweb.owlapi.model.OWLIndividual indTestEx,
DSTDLTree tree) |
void |
DSTTDTClassifier.setCurrentmodel(DSTDLTree currentmodel) |
Modifier and Type | Method and Description |
---|---|
DSTDLTree |
DSTDLTree.getNegSubTree() |
DSTDLTree |
DSTDLTree.getPosSubTree() |
Modifier and Type | Method and Description |
---|---|
static org.semanticweb.owlapi.model.OWLClassExpression |
DSTDLTree.deriveDefinition(DSTDLTree tree,
boolean conceptFromPositiveIstances)
Return a concept definition from a DSTDLTree (both the positive and the negative instances) A theoretical problems concerns the way in which BBAs must be considered.
|
void |
DSTDLTree.setNegTree(DSTDLTree subTree) |
void |
DSTDLTree.setPosTree(DSTDLTree subTree) |
DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann