public static void main(String[] args) throws Exception { KnowledgeSource ks = new OWLFile("../examples/swore/swore.rdf"); AbstractReasonerComponent rc = new ClosedWorldReasoner(ks); rc.init(); ClassLearningProblem lp = new ClassLearningProblem(rc); lp.setClassToDescribe(new OWLClassImpl(IRI.create("http://ns.softwiki.de/req/CustomerRequirement"))); lp.init(); CELOE celoe = new CELOE(lp, rc); celoe.setNoisePercentage(1.0); celoe.setMaxExecutionTimeInSeconds(3); celoe.init(); celoe.start(); List<OWLClassExpression> descriptions = new ArrayList<>(); for (EvaluatedDescription<? extends Score> ed : celoe.getCurrentlyBestEvaluatedDescriptions(100)) { if(((EvaluatedDescriptionClass)ed).getAdditionalInstances().size() > 0){ System.out.println(ed); System.out.println(((EvaluatedDescriptionClass)ed).getAdditionalInstances()); descriptions.add(ed.getDescription()); } if(descriptions.size() == 3) break; } // descriptions.addAll(celoe.getCurrentlyBestDescriptions(2)); // descriptions.add(new NamedClass("http://ns.softwiki.de/req/Requirement")); // descriptions.add(new NamedClass("http://ns.softwiki.de/req/Customer")); DescriptionLinearClassifier dlc = new DescriptionLinearClassifier(lp, rc); dlc.getLinearCombination(descriptions); }
List<? extends EvaluatedDescription<? extends Score>> learnedDescriptions = la.getCurrentlyBestEvaluatedDescriptions(threshold); List<EvaluatedAxiom<OWLAxiom>> learnedAxioms = new LinkedList<>(); for(EvaluatedDescription<? extends Score> learnedDescription : learnedDescriptions) {
List<? extends EvaluatedDescription<? extends Score>> learnedDescriptions = la.getCurrentlyBestEvaluatedDescriptions(threshold); List<EvaluatedAxiom> learnedAxioms = new LinkedList<>(); for(EvaluatedDescription<? extends Score> learnedDescription : learnedDescriptions) {
.getCurrentlyBestEvaluatedDescriptions(); List<EvaluatedDescriptionClass> suggestionsList = new LinkedList<>( suggestions.descendingSet());