org.dllearner.algorithms.qtl.heuristics

Class QueryTreeHeuristic

java.lang.Object

org.dllearner.core.AbstractComponent

org.dllearner.algorithms.qtl.heuristics.QueryTreeHeuristic

All Implemented Interfaces:

Comparator<EvaluatedRDFResourceTree>, Component, Heuristic<EvaluatedRDFResourceTree>

Direct Known Subclasses:

QueryTreeHeuristicComplex, QueryTreeHeuristicSimple

public abstract class QueryTreeHeuristic
extends AbstractComponent
implements Heuristic<EvaluatedRDFResourceTree>

Author:

Lorenz Buehmann

Constructor Summary

Constructors

Constructor and Description
QueryTreeHeuristic()

Method Summary

Modifier and Type	Method and Description
int	compare(EvaluatedRDFResourceTree tree1, EvaluatedRDFResourceTree tree2)
Heuristics.HeuristicType	getHeuristicType()
double	getMaximumAchievableScore(EvaluatedRDFResourceTree tree) Returns the maximum achievable score according to the used score function.
double	getNodeScore(EvaluatedRDFResourceTree node)
abstract double	getScore(EvaluatedRDFResourceTree tree)
void	setHeuristicType(Heuristics.HeuristicType heuristicType)
void	setPosExamplesWeight(double posExamplesWeight)

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

Methods inherited from interface org.dllearner.core.Component

init

Methods inherited from interface java.util.Comparator

comparing, comparing, comparingDouble, comparingInt, comparingLong, equals, naturalOrder, nullsFirst, nullsLast, reversed, reverseOrder, thenComparing, thenComparing, thenComparing, thenComparingDouble, thenComparingInt, thenComparingLong

Constructor Detail

QueryTreeHeuristic

public QueryTreeHeuristic()

Method Detail

getScore

public abstract double getScore(EvaluatedRDFResourceTree tree)

getNodeScore

public double getNodeScore(EvaluatedRDFResourceTree node)

Specified by:

getNodeScore in interface Heuristic<EvaluatedRDFResourceTree>

setPosExamplesWeight

public void setPosExamplesWeight(double posExamplesWeight)

Parameters:

posExamplesWeight - the posExamplesWeight to set

getMaximumAchievableScore

public double getMaximumAchievableScore(EvaluatedRDFResourceTree tree)

Returns the maximum achievable score according to the used score function.

Returns:

compare

public int compare(EvaluatedRDFResourceTree tree1,
                   EvaluatedRDFResourceTree tree2)

Specified by:

compare in interface Comparator<EvaluatedRDFResourceTree>

setHeuristicType

public void setHeuristicType(Heuristics.HeuristicType heuristicType)

Parameters:

heuristicType - the type of accuracy measure to set

getHeuristicType

public Heuristics.HeuristicType getHeuristicType()

Returns:

the heuristicType