Uses of Class
org.dllearner.server.ClientNotKnownException

Packages that use ClientNotKnownException

Package	Description
org.dllearner.server	This package implements the DL-Learner web service.

Uses of ClientNotKnownException in org.dllearner.server

Methods in org.dllearner.server that throw ClientNotKnownException

Modifier and Type	Method and Description
int	DLLearnerWS.addKnowledgeSource(int id, String component, String url) Adds a knowledge source.
void	DLLearnerWS.applyConfigEntryBoolean(int sessionID, int componentID, String optionName, Boolean value)
void	DLLearnerWS.applyConfigEntryInt(int sessionID, int componentID, String optionName, Integer value)
void	DLLearnerWS.applyConfigEntryString(int sessionID, int componentID, String optionName, String value)
void	DLLearnerWS.applyConfigEntryStringArray(int sessionID, int componentID, String optionName, String[] value)
void	DLLearnerWS.applyConfigEntryStringTupleList(int sessionID, int componentID, String optionName, String[] keys, String[] values)
void	DLLearnerWS.applyConfigEntryURL(int sessionID, int componentID, String optionName, String value)
String	DLLearnerWS.getAsJSON(int sessionID, int queryID)
String	DLLearnerWS.getAsXMLString(int sessionID, int queryID)
String[]	DLLearnerWS.getAtomicConcepts(int id)
String[]	DLLearnerWS.getAtomicRoles(int id)
int[]	DLLearnerWS.getConceptArity(int id, int nrOfConcepts)
int[]	DLLearnerWS.getConceptDepth(int id, int nrOfConcepts)
Boolean	DLLearnerWS.getConfigOptionValueBoolean(int sessionID, int componentID, String optionName)
Double	DLLearnerWS.getConfigOptionValueDouble(int sessionID, int componentID, String optionName)
Integer	DLLearnerWS.getConfigOptionValueInt(int sessionID, int componentID, String optionName)
String	DLLearnerWS.getConfigOptionValueString(int sessionID, int componentID, String optionName)
String[]	DLLearnerWS.getConfigOptionValueStringArray(int sessionID, int componentID, String optionName)
String	DLLearnerWS.getConfigOptionValueURL(int sessionID, int componentID, String optionName)
String	DLLearnerWS.getCurrentlyBestConcept(int id)
String[]	DLLearnerWS.getCurrentlyBestConcepts(int id, int nrOfConcepts, String format)
String	DLLearnerWS.getCurrentlyBestEvaluatedDescriptions(int id, int limit)
String	DLLearnerWS.getCurrentlyBestEvaluatedDescriptionsFiltered(int id, int nrOfDescriptions, double accuracyThreshold, boolean filterNonMinimalDescriptions)
String[]	DLLearnerWS.getIndividualsForARole(int id, String role)
String[]	DLLearnerWS.getInstances(int id)
String[]	DLLearnerWS.getNegativeExamples(int sessionID, int componentID, String[] positives, int results, String namespace, String[] filterClasses)
String	DLLearnerWS.getSubsumptionHierarchy(int id)
void	DLLearnerWS.init(int id, int componentID) Initialise the specified component.
void	DLLearnerWS.initAll(int id) Initialise all components.
boolean	DLLearnerWS.isAlgorithmRunning(int id)
boolean	DLLearnerWS.isSparqlQueryRunning(int sessionID, int queryID)
String	DLLearnerWS.learn(int id, String format) Starts the learning algorithm and returns the best concept found.
String	DLLearnerWS.learnDescriptionsEvaluated(int id) Returns a list of JSON encoded description including extra information (which partially depends on the learning problem) such as the accuracy of the learned description.
String	DLLearnerWS.learnDescriptionsEvaluatedLimit(int id, int limit) Returns a list of JSON encoded description including extra information (which partially depends on the learning problem) such as the accuracy of the learned description.
void	DLLearnerWS.learnThreaded(int id) Starts the learning algorithm and returns immediately.
void	DLLearnerWS.removeKnowledgeSource(int id, int componentID) Removes a knowledge source.
String[]	DLLearnerWS.retrieval(int id, String conceptString)
int	DLLearnerWS.setLearningAlgorithm(int id, String component) Sets the learning algorithm to use.
int	DLLearnerWS.setLearningProblem(int id, String component) Sets the learning problem to use.
void	DLLearnerWS.setNegativeExamples(int id, String[] negativeExamples)
void	DLLearnerWS.setPositiveExamples(int id, String[] positiveExamples)
int	DLLearnerWS.setReasoner(int id, String component) Sets the reasoner to use.
String	DLLearnerWS.sparqlQuery(int sessionID, int componentID, String query)
int	DLLearnerWS.sparqlQueryThreaded(int sessionID, int componentID, String query)
void	DLLearnerWS.stop(int id) Stops the learning algorithm smoothly.
void	DLLearnerWS.stopSparqlThread(int sessionID, int queryID)