org.dllearner.algorithms.decisiontrees.dsttdt

Class DSTTDTClassifier

java.lang.Object

org.dllearner.core.AbstractComponent

org.dllearner.core.AbstractCELA

org.dllearner.algorithms.decisiontrees.dsttdt.DSTTDTClassifier

All Implemented Interfaces:

ClassExpressionLearningAlgorithm, Component, LearningAlgorithm, StoppableLearningAlgorithm

public class DSTTDTClassifier
extends AbstractCELA

Field Summary

Fields inherited from class org.dllearner.core.AbstractCELA

MAX_NR_OF_RESULTS

Constructor Summary

Constructors

Constructor and Description
DSTTDTClassifier()
DSTTDTClassifier(AbstractClassExpressionLearningProblem problem, AbstractReasonerComponent reasoner)

Method Summary

Modifier and Type	Method and Description
int	classifyExamplesDST(org.semanticweb.owlapi.model.OWLIndividual indTestEx, DSTDLTree tree)
MassFunction<Integer>	getBBA(org.semanticweb.owlapi.model.OWLIndividual indTestEx, EvidentialModel tree)
int	getBeam()
org.semanticweb.owlapi.model.OWLClassExpression	getClassToDescribe()
org.semanticweb.owlapi.model.OWLClassExpression	getCurrentlyBestDescription()
EvaluatedDescription	getCurrentlyBestEvaluatedDescription() Returns the best descriptions obtained so far.
DSTDLTree	getCurrentmodel()
TreeInductionHeuristics	getHeuristic()
RefinementOperator	getOperator()
double	getPuritythreshold()
DSTDLTree	induceDSTDLTree(SortedSet<org.semanticweb.owlapi.model.OWLIndividual> posExs, SortedSet<org.semanticweb.owlapi.model.OWLIndividual> negExs, SortedSet<org.semanticweb.owlapi.model.OWLIndividual> undExs)
void	init() Method to be called after the component has been configured.
boolean	isNonSpecifityControl()
boolean	isRunning() Returns whether the learning algorithm is running.
void	setBeam(int beam)
void	setClassToDescribe(org.semanticweb.owlapi.model.OWLClassExpression classToDescribe)
void	setCurrentmodel(DSTDLTree currentmodel)
void	setHeuristic(TreeInductionHeuristics heuristic)
void	setNonSpecifityControl(boolean nonSpecifityControl)
void	setOperator(RefinementOperator operator)
void	setPuritythreshold(double puritythreshold)
void	start() Starts the algorithm.
void	stop() Stops the algorithm gracefully.

Methods inherited from class org.dllearner.core.AbstractCELA

changeLearningProblem, changeReasonerComponent, getAllowedConcepts, getAllowedDataProperties, getAllowedObjectProperties, getCurrentlyBestDescriptions, getCurrentlyBestDescriptions, getCurrentlyBestDescriptions, getCurrentlyBestEvaluatedDescriptions, getCurrentlyBestEvaluatedDescriptions, getCurrentlyBestEvaluatedDescriptions, getCurrentlyBestEvaluatedDescriptions, getCurrentlyBestMostGeneralEvaluatedDescriptions, getIgnoredConcepts, getIgnoredDataProperties, getIgnoredObjectProperties, getLearningProblem, getMaxExecutionTimeInSeconds, getReasoner, isUseMinimizer, setAllowedConcepts, setAllowedDataProperties, setAllowedObjectProperties, setIgnoredConcepts, setIgnoredDataProperties, setIgnoredObjectProperties, setLearningProblem, setMaxExecutionTime, setMaxExecutionTimeInSeconds, setReasoner, setRenderer, setUseMinimizer, supportedLearningProblems

Methods inherited from class org.dllearner.core.AbstractComponent

isInitialized

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DSTTDTClassifier

public DSTTDTClassifier()

DSTTDTClassifier

public DSTTDTClassifier(AbstractClassExpressionLearningProblem problem,
                        AbstractReasonerComponent reasoner)

Method Detail

isNonSpecifityControl

public boolean isNonSpecifityControl()

setNonSpecifityControl

public void setNonSpecifityControl(boolean nonSpecifityControl)

getPuritythreshold

public double getPuritythreshold()

setPuritythreshold

public void setPuritythreshold(double puritythreshold)

getBeam

public int getBeam()

setBeam

public void setBeam(int beam)

getClassToDescribe

public org.semanticweb.owlapi.model.OWLClassExpression getClassToDescribe()

setClassToDescribe

public void setClassToDescribe(org.semanticweb.owlapi.model.OWLClassExpression classToDescribe)

getHeuristic

public TreeInductionHeuristics getHeuristic()

setHeuristic

public void setHeuristic(TreeInductionHeuristics heuristic)

getOperator

public RefinementOperator getOperator()

setOperator

public void setOperator(RefinementOperator operator)

init

public void init()
          throws ComponentInitException

Description copied from interface: Component

Method to be called after the component has been configured. Implementation of components can overwrite this method to perform setup and initialisation tasks for this component.

Throws:

ComponentInitException - This exception is thrown if any exceptions occur within the initialisation process of this component. As component developer, you are encouraged to re-throw occurring exception as ComponentInitException and giving an error message as well as the actually exception by using the constructor ComponentInitException(String, Throwable).

induceDSTDLTree

public DSTDLTree induceDSTDLTree(SortedSet<org.semanticweb.owlapi.model.OWLIndividual> posExs,
                                 SortedSet<org.semanticweb.owlapi.model.OWLIndividual> negExs,
                                 SortedSet<org.semanticweb.owlapi.model.OWLIndividual> undExs)

getCurrentmodel

public DSTDLTree getCurrentmodel()

setCurrentmodel

public void setCurrentmodel(DSTDLTree currentmodel)

classifyExamplesDST

public int classifyExamplesDST(org.semanticweb.owlapi.model.OWLIndividual indTestEx,
                               DSTDLTree tree)

getBBA

public MassFunction<Integer> getBBA(org.semanticweb.owlapi.model.OWLIndividual indTestEx,
                                    EvidentialModel tree)

start

public void start()

Description copied from interface: LearningAlgorithm

Starts the algorithm. It runs until paused, stopped, or a termination criterion has been reached.

stop

public void stop()

Description copied from interface: StoppableLearningAlgorithm

Stops the algorithm gracefully. A stopped algorithm cannot be resumed anymore. Use this method for cleanup and freeing memory.

Specified by:

stop in interface StoppableLearningAlgorithm

Overrides:

stop in class AbstractCELA

isRunning

public boolean isRunning()

Description copied from interface: StoppableLearningAlgorithm

Returns whether the learning algorithm is running. Implementation should use a boolean status variable in their implementations of the start and resume methods.

Specified by:

isRunning in interface StoppableLearningAlgorithm

Overrides:

isRunning in class AbstractCELA

Returns:

True if the algorithm is running, false otherwise.

getCurrentlyBestDescription

public org.semanticweb.owlapi.model.OWLClassExpression getCurrentlyBestDescription()

Overrides:

getCurrentlyBestDescription in class AbstractCELA

Returns:

The best class OWLClassExpression found by the learning algorithm so far.

See Also:

AbstractCELA.getCurrentlyBestEvaluatedDescription()

getCurrentlyBestEvaluatedDescription

public EvaluatedDescription getCurrentlyBestEvaluatedDescription()

Description copied from class: AbstractCELA

Returns the best descriptions obtained so far.

Overrides:

getCurrentlyBestEvaluatedDescription in class AbstractCELA

Returns:

Best class class expression found so far.