org.dllearner.learningproblems

Class ScoreTwoValued<T extends org.semanticweb.owlapi.model.OWLEntity>

java.lang.Object

org.dllearner.core.Score

org.dllearner.learningproblems.ScorePosNeg<T>

org.dllearner.learningproblems.ScoreTwoValued<T>

All Implemented Interfaces:

Serializable

public class ScoreTwoValued<T extends org.semanticweb.owlapi.model.OWLEntity>
extends ScorePosNeg<T>

Calculates accuracy and score (with respect to some length penalty) of a class description. TODO: In fact, a score value influencing a learning algorithm should not be calculated here, but rather in a separate heuristic as there are many methods to calculate such a value. This class should only be used for computing example coverage, accuracy etc.

Author:

Jens Lehmann

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ScoreTwoValued(int conceptLength, double percentPerLengthUnit, Set<T> posAsPos, Set<T> posAsNeg, Set<T> negAsPos, Set<T> negAsNeg, double accuracy)

Method Summary

Modifier and Type	Method and Description
double	getAccuracy() This method returns a value, which indicates how accurate a hypothesis solves a learning problem.
Set<T>	getCoveredNegatives()
Set<T>	getCoveredPositives()
ScorePosNeg<T>	getModifiedLengthScore(int newLength) The score of a concept depends on how good it classifies the examples of a learning problem and the length of the concept itself.
Set<T>	getNotCoveredNegatives()
Set<T>	getNotCoveredPositives()
double	getScoreValue() score = accuracy - 1 - length * length penalty
void	setAccuracy(double accuracy)
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

ScoreTwoValued

public ScoreTwoValued(int conceptLength,
                      double percentPerLengthUnit,
                      Set<T> posAsPos,
                      Set<T> posAsNeg,
                      Set<T> negAsPos,
                      Set<T> negAsNeg,
                      double accuracy)

Method Detail

getAccuracy

public double getAccuracy()

Description copied from class: Score

This method returns a value, which indicates how accurate a hypothesis solves a learning problem.

Specified by:

getAccuracy in class Score

Returns:

A value between 0 and 1 indicating the quality (of a hypothesis).

See Also:

AbstractLearningProblem.getAccuracyOrTooWeak(OWLObject, double)

getScoreValue

public double getScoreValue()

score = accuracy - 1 - length * length penalty

Specified by:

getScoreValue in class ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity>

toString

public String toString()

Overrides:

toString in class Object

getCoveredNegatives

public Set<T> getCoveredNegatives()

Specified by:

getCoveredNegatives in class ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity>

getCoveredPositives

public Set<T> getCoveredPositives()

Specified by:

getCoveredPositives in class ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity>

getNotCoveredPositives

public Set<T> getNotCoveredPositives()

Specified by:

getNotCoveredPositives in class ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity>

getNotCoveredNegatives

public Set<T> getNotCoveredNegatives()

Specified by:

getNotCoveredNegatives in class ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity>

getModifiedLengthScore

public ScorePosNeg<T> getModifiedLengthScore(int newLength)

Description copied from class: ScorePosNeg

The score of a concept depends on how good it classifies the examples of a learning problem and the length of the concept itself. If a given concept is known to have equal classification properties than the concept this score object is based on, then this method can be used to calculate its score value by using the length of this concept as parameter.

Specified by:

getModifiedLengthScore in class ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity>

Parameters:

newLength - Length of the concept.

Returns:

Score.

setAccuracy

public void setAccuracy(double accuracy)

Parameters:

accuracy - the accuracy to set