| Package | Description | 
|---|---|
| org.dllearner.algorithms | |
| org.dllearner.algorithms.celoe | |
| org.dllearner.algorithms.decisiontrees.dsttdt | |
| org.dllearner.algorithms.decisiontrees.tdt | |
| org.dllearner.algorithms.el | 
 Learning algorithms for the EL description logic. 
 | 
| org.dllearner.algorithms.meta | |
| org.dllearner.algorithms.miles | |
| 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.algorithms.probabilistic.structure.unife.leap | |
| 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.cli | 
 DL-Learner command line interface. 
 | 
| org.dllearner.core.probabilistic.unife | |
| org.dllearner.server | 
 This package implements the DL-Learner web service. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
NaiveALLearner
Simple example learning algorithm exhaustively creating complex class
 expressions of the AL description logic. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
CELOE
The CELOE (Class Expression Learner for Ontology Engineering) algorithm. 
 | 
class  | 
PCELOE
The PCELOE is an experimental, parallel implementation of the CELOE algorithm. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
DSTTDTClassifier  | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractTDTClassifier  | 
class  | 
TDTClassifier  | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ELLearningAlgorithm
A learning algorithm for EL, which is based on an
 ideal refinement operator. 
 | 
class  | 
ELLearningAlgorithmDisjunctive
A learning algorithm for EL, which will based on an
 ideal refinement operator. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
DisjunctiveCELA
A meta algorithm that combines the (partial) solutions of multiple calls of the base class learning algorithm LA
 into a disjunction. 
 | 
| Constructor and Description | 
|---|
DisjunctiveCELA(AbstractCELA la)  | 
| Constructor and Description | 
|---|
MILES(AbstractCELA la,
     ClassLearningProblem lp,
     AbstractReasonerComponent rc)  | 
MILES(AbstractCELA la,
     PosNegLP lp,
     AbstractReasonerComponent rc)  | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
OCEL
The DL-Learner learning algorithm component for the example
 based refinement operator approach. 
 | 
| Constructor and Description | 
|---|
ExampleBasedNode(org.semanticweb.owlapi.model.OWLClassExpression concept,
                AbstractCELA learningAlgorithm)  | 
| Constructor and Description | 
|---|
AbstractLEAP(AbstractCELA cela,
            AbstractParameterLearningAlgorithm pla)  | 
LEAP(AbstractCELA cela,
    AbstractEDGE lpr)  | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
QTL2Disjunctive  | 
class  | 
QTL2DisjunctiveMultiThreaded
A tree-based algorithm ... 
 | 
| Modifier and Type | Method and Description | 
|---|---|
AbstractCELA | 
CLI.getLearningAlgorithm()  | 
| Constructor and Description | 
|---|
CrossValidation(AbstractCELA la,
               AbstractClassExpressionLearningProblem lp,
               AbstractReasonerComponent rs,
               int folds,
               boolean leaveOneOut)  | 
CrossValidation2(AbstractCELA la,
                AbstractClassExpressionLearningProblem lp,
                AbstractReasonerComponent rs,
                int folds,
                boolean leaveOneOut)  | 
| Modifier and Type | Method and Description | 
|---|---|
AbstractCELA | 
AbstractPSLA.getClassExpressionLearningAlgorithm()  | 
| Modifier and Type | Method and Description | 
|---|---|
void | 
AbstractPSLA.setClassExpressionLearningAlgorithm(AbstractCELA la)  | 
| Constructor and Description | 
|---|
AbstractPSLA(AbstractCELA cela,
            AbstractParameterLearningAlgorithm pla)
Each probabilistic structure learning algorithm gets a class expression
 learning algorithm and a parameter learning algorithm 
 | 
| Modifier and Type | Method and Description | 
|---|---|
AbstractCELA | 
ClientState.getLearningAlgorithm()  | 
| Modifier and Type | Method and Description | 
|---|---|
int | 
ClientState.setLearningAlgorithm(AbstractCELA learningAlgorithm)  | 
 DL-Learner is licenced 						under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann