Package net.sf.tweety.logics.mln.analysis

Class AggregatingCoherenceMeasure

java.lang.Object

net.sf.tweety.logics.mln.analysis.AbstractCoherenceMeasure

net.sf.tweety.logics.mln.analysis.AggregatingCoherenceMeasure

All Implemented Interfaces:

java.io.Serializable

public class AggregatingCoherenceMeasure
extends AbstractCoherenceMeasure

This coherence measure uses an aggregation function and a distance function to measure the coherence of an MLN. For each formula in the MLN the distance function looks at the probabilities of all ground instance and compares this vector to the intended probabilities. The aggregation function is used to aggregate the distances for all formulas.

Author:

Matthias Thimm

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
private AggregationFunction	aggregator	The aggregation function used to aggregate the distances for each formula.
private RealVectorNorm	norm	The norm used to measure the difference of the probabilities of each ground instance for a single formula.
private static long	serialVersionUID

Constructor Summary

Constructors

Constructor	Description
AggregatingCoherenceMeasure(RealVectorNorm norm, AggregationFunction aggregator)

Method Summary

Modifier and Type	Method	Description
double	coherence(MarkovLogicNetwork mln, AbstractMlnReasoner reasoner, FolSignature signature)	Measures the coherence of the given MLN using the given reasoner.
boolean	equals(java.lang.Object obj)
int	hashCode()
java.lang.String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

serialVersionUID

private static final long serialVersionUID

See Also:

Constant Field Values

norm

private RealVectorNorm norm

The norm used to measure the difference of the probabilities of each ground instance for a single formula.

aggregator

private AggregationFunction aggregator

The aggregation function used to aggregate the distances for each formula.

Constructor Detail

AggregatingCoherenceMeasure

public AggregatingCoherenceMeasure(RealVectorNorm norm,
                                   AggregationFunction aggregator)

Method Detail

coherence

public double coherence(MarkovLogicNetwork mln,
                        AbstractMlnReasoner reasoner,
                        FolSignature signature)

Description copied from class: AbstractCoherenceMeasure

Measures the coherence of the given MLN using the given reasoner.

Specified by:

coherence in class AbstractCoherenceMeasure

Parameters:

mln - some MLN

reasoner - some reasoner

signature - a signature

Returns:

the coherence measure of the MLN.

toString

public java.lang.String toString()

Specified by:

toString in class AbstractCoherenceMeasure

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object