org.dllearner.utilities.datastructures
Class DescriptionSubsumptionTree

java.lang.Object
  org.dllearner.utilities.datastructures.DescriptionSubsumptionTree

public class DescriptionSubsumptionTree
extends Object

This class takes Descritptions and a reasoner and orders the descriptions by subsumption into a tree, represented by the internal class "Node"

Author:

Sebastian Hellmann

Nested Class Summary

class

DescriptionSubsumptionTree.Node Datastructure for the tree

Field Summary

static boolean

debug turns on logging

Constructor Summary

DescriptionSubsumptionTree(AbstractReasonerComponent rc)

Method Summary

List<EvaluatedDescription>	getMostGeneralDescriptions(boolean distinct)
DescriptionSubsumptionTree.Node	getRootNode()
void	insert(Collection<? extends EvaluatedDescription> evaluatedDescriptions)
void	insertEdPosNeg(Collection<EvaluatedDescriptionPosNeg> evaluatedDescriptions, int limit, double accuracyThreshold) Not very well implemented, feel free to write your own
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

debug

public static boolean debug

turns on logging

Constructor Detail

DescriptionSubsumptionTree

public DescriptionSubsumptionTree(AbstractReasonerComponent rc)

Parameters:

rc - An initialized reasoner component

Method Detail

getRootNode

public DescriptionSubsumptionTree.Node getRootNode()

getMostGeneralDescriptions

public List<EvaluatedDescription> getMostGeneralDescriptions(boolean distinct)

insert

public void insert(Collection<? extends EvaluatedDescription> evaluatedDescriptions)

insertEdPosNeg

public void insertEdPosNeg(Collection<EvaluatedDescriptionPosNeg> evaluatedDescriptions,
                           int limit,
                           double accuracyThreshold)

Not very well implemented, feel free to write your own

Parameters:

evaluatedDescriptions -

limit -

accuracyThreshold -

toString

public String toString()

Overrides:

toString in class Object