org.dllearner.algorithms.decisiontrees.tdt

Class AbstractTDTClassifier

java.lang.Object

org.dllearner.core.AbstractComponent

org.dllearner.core.AbstractCELA

org.dllearner.algorithms.decisiontrees.tdt.AbstractTDTClassifier

All Implemented Interfaces:

ClassExpressionLearningAlgorithm, Component, LearningAlgorithm, StoppableLearningAlgorithm

Direct Known Subclasses:

TDTClassifier

public abstract class AbstractTDTClassifier
extends AbstractCELA

Field Summary

Fields inherited from class org.dllearner.core.AbstractCELA

MAX_NR_OF_RESULTS

Constructor Summary

Constructors

Constructor and Description
AbstractTDTClassifier()
AbstractTDTClassifier(AbstractClassExpressionLearningProblem problem, AbstractReasonerComponent reasoner, RefinementOperator op)

Method Summary

Modifier and Type	Method and Description
int	classify(org.semanticweb.owlapi.model.OWLIndividual indTestEx, DLTree trees)
int	classifyExample(List<Integer> list, org.semanticweb.owlapi.model.OWLIndividual indTestEx, DLTree tree) Alternative exploration of a Tree classifier for DL ontology
int	classifyExample(org.semanticweb.owlapi.model.OWLIndividual indTestEx, DLTree tree)
org.semanticweb.owlapi.model.OWLClassExpression	getClassToDescribe()
TreeInductionHeuristics	getHeuristic()
RefinementOperator	getOperator()
double	getPuritythreshold()
abstract DLTree	induceDLTree(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	isBinaryClassification()
boolean	isCcp()
boolean	isMissingValueTreatmentForTDT()
boolean	isRunning() Returns whether the learning algorithm is running.
void	setBinaryClassification(boolean binaryClassification)
void	setCcp(boolean ccp)
void	setClassToDescribe(org.semanticweb.owlapi.model.OWLClassExpression classToDescribe)
void	setHeuristic(TreeInductionHeuristics heuristic)
void	setMissingValueTreatmentForTDT(boolean missingValueTreatmentForTDT)
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, getCurrentlyBestDescription, getCurrentlyBestDescriptions, getCurrentlyBestDescriptions, getCurrentlyBestDescriptions, getCurrentlyBestEvaluatedDescription, 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

AbstractTDTClassifier

public AbstractTDTClassifier(AbstractClassExpressionLearningProblem problem,
                             AbstractReasonerComponent reasoner,
                             RefinementOperator op)

AbstractTDTClassifier

public AbstractTDTClassifier()

Method Detail

getPuritythreshold

public double getPuritythreshold()

setPuritythreshold

public void setPuritythreshold(double puritythreshold)

isBinaryClassification

public boolean isBinaryClassification()

setBinaryClassification

public void setBinaryClassification(boolean binaryClassification)

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)

isCcp

public boolean isCcp()

setCcp

public void setCcp(boolean ccp)

isMissingValueTreatmentForTDT

public boolean isMissingValueTreatmentForTDT()

setMissingValueTreatmentForTDT

public void setMissingValueTreatmentForTDT(boolean missingValueTreatmentForTDT)

start

public void start()

Description copied from interface: LearningAlgorithm

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

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).

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.

induceDLTree

public abstract DLTree induceDLTree(SortedSet<org.semanticweb.owlapi.model.OWLIndividual> posExs,
                                    SortedSet<org.semanticweb.owlapi.model.OWLIndividual> negExs,
                                    SortedSet<org.semanticweb.owlapi.model.OWLIndividual> undExs)

classify

public int classify(org.semanticweb.owlapi.model.OWLIndividual indTestEx,
                    DLTree trees)

classifyExample

public int classifyExample(org.semanticweb.owlapi.model.OWLIndividual indTestEx,
                           DLTree tree)

classifyExample

public int classifyExample(List<Integer> list,
                           org.semanticweb.owlapi.model.OWLIndividual indTestEx,
                           DLTree tree)

Alternative exploration of a Tree classifier for DL ontology

Parameters:

list -

indTestEx -

tree -

Returns: