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

Nested Classes

Modifier and Type	Class and Description
class	DescriptionSubsumptionTree.Node Datastructure for the tree

Field Summary

Fields

Modifier and Type	Field and Description
static boolean	debug turns on logging

Constructor Summary

Constructors

Constructor and Description
DescriptionSubsumptionTree(AbstractReasonerComponent rc)

Method Summary

Modifier and Type	Method and Description
List<EvaluatedDescription<? extends Score>>	getMostGeneralDescriptions(boolean distinct)
DescriptionSubsumptionTree.Node	getRootNode()
void	insert(Collection<? extends EvaluatedDescription<? extends Score>> 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

clone, equals, finalize, 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<? extends Score>> getMostGeneralDescriptions(boolean distinct)

insert

public void insert(Collection<? extends EvaluatedDescription<? extends Score>> 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