Package | Description |
---|---|
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.server |
This package implements the DL-Learner web service.
|
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 |
---|---|
EvaluatedDescriptionPosNeg |
OCEL.getCurrentlyBestEvaluatedDescription() |
Modifier and Type | Method and Description |
---|---|
TreeSet<EvaluatedDescriptionPosNeg> |
OCEL.getCurrentlyBestEvaluatedDescriptions() |
Modifier and Type | Method and Description |
---|---|
EvaluatedDescriptionPosNeg |
Rest.learn(String conf)
TODO
This function takes the config string as in a conf file and the returns an EvaluatedDescription
|
Modifier and Type | Method and Description |
---|---|
void |
DescriptionSubsumptionTree.insertEdPosNeg(Collection<EvaluatedDescriptionPosNeg> evaluatedDescriptions,
int limit,
double accuracyThreshold)
Not very well implemented, feel free to write your own
|
Modifier and Type | Method and Description |
---|---|
int |
EvaluatedDescriptionPosNegComparator.compare(EvaluatedDescriptionPosNeg ed1,
EvaluatedDescriptionPosNeg ed2) |
Modifier and Type | Method and Description |
---|---|
void |
EvaluatedDescriptionSet.addAll(Collection<EvaluatedDescriptionPosNeg> eds)
Adds a collection of evaluated description to this set and ensures that the size does not
exceed the limit.
|
DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann