org.dllearner.learningproblems

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

java.lang.Object

org.dllearner.core.Score

org.dllearner.learningproblems.ScorePosOnly<T>

All Implemented Interfaces:

Serializable

public class ScorePosOnly<T extends org.semanticweb.owlapi.model.OWLEntity>
extends Score

Author:

Jens Lehmann

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ScorePosOnly(Set<T> coveredInstances, Set<T> notCoveredPositives, double coverage, Set<T> additionalInstances, double protusion, 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.
double	getAddition() Let C be the considered class expression and A the class to learn.
Set<T>	getAdditionalInstances()
double	getCoverage()
Set<T>	getCoveredInstances()
Set<T>	getNotCoveredPositives()

Methods inherited from class java.lang.Object

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

Constructor Detail

ScorePosOnly

public ScorePosOnly(Set<T> coveredInstances,
                    Set<T> notCoveredPositives,
                    double coverage,
                    Set<T> additionalInstances,
                    double protusion,
                    double accuracy)

Method Detail

getCoverage

public double getCoverage()

Returns:

Coverage of the class description.

getAddition

public double getAddition()

Let C be the considered class expression and A the class to learn. The addition number is calculated as the number of instances of C which are also instances of A divided by the number of instances of C.

Returns:

Additional instances of the class description.

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)

getCoveredInstances

public Set<T> getCoveredInstances()

Returns:

the coveredInstances

getNotCoveredPositives

public Set<T> getNotCoveredPositives()

Returns:

the coveredInstances

getAdditionalInstances

public Set<T> getAdditionalInstances()

Returns:

the additionalInstances