Uses of Class
org.dllearner.learningproblems.PosOnlyLP

Packages that use PosOnlyLP

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.core.configurators	Automatically generated classes, which enable programmatically settingand getting configuration options of components.

Uses of PosOnlyLP in org.dllearner.algorithms.ocel

Constructors in org.dllearner.algorithms.ocel with parameters of type PosOnlyLP

OCEL(PosOnlyLP learningProblem, AbstractReasonerComponent reasoningService)

Uses of PosOnlyLP in org.dllearner.core.configurators

Methods in org.dllearner.core.configurators that return PosOnlyLP

static PosOnlyLP	ComponentFactory.getPosOnlyLP(AbstractReasonerComponent reasoningService, Set<String> positiveExamples)
static PosOnlyLP	PosOnlyLPConfigurator.getPosOnlyLP(AbstractReasonerComponent reasoningService, Set<String> positiveExamples)

Constructors in org.dllearner.core.configurators with parameters of type PosOnlyLP

PosOnlyLPConfigurator(PosOnlyLP posOnlyLP)