org.dllearner.learningproblems

Class AxiomScore

java.lang.Object

org.dllearner.core.Score

org.dllearner.learningproblems.AxiomScore

All Implemented Interfaces:

Serializable

public class AxiomScore
extends Score

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AxiomScore(double accuracy)
AxiomScore(double accuracy, boolean sampleBased)
AxiomScore(double accuracy, double confidence)
AxiomScore(double accuracy, double confidence, boolean sampleBased)
AxiomScore(double accuracy, double confidence, int nrOfPositiveExamples, int nrOfNegativeExamples)
AxiomScore(double accuracy, double confidence, int nrOfPositiveExamples, int nrOfNegativeExamples, boolean sampleBased)

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	getConfidence()
int	getNrOfNegativeExamples()
int	getNrOfPositiveExamples()
int	getTotalNrOfExamples()
boolean	isSampleBased()

Methods inherited from class java.lang.Object

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

Constructor Detail

AxiomScore

public AxiomScore(double accuracy)

AxiomScore

public AxiomScore(double accuracy,
                  boolean sampleBased)

AxiomScore

public AxiomScore(double accuracy,
                  double confidence)

AxiomScore

public AxiomScore(double accuracy,
                  double confidence,
                  boolean sampleBased)

AxiomScore

public AxiomScore(double accuracy,
                  double confidence,
                  int nrOfPositiveExamples,
                  int nrOfNegativeExamples)

AxiomScore

public AxiomScore(double accuracy,
                  double confidence,
                  int nrOfPositiveExamples,
                  int nrOfNegativeExamples,
                  boolean sampleBased)

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)

getConfidence

public double getConfidence()

Returns:

the confidence value.

isSampleBased

public boolean isSampleBased()

Returns:

whether the score was computed only based on a sample of the knowledge base

getTotalNrOfExamples

public int getTotalNrOfExamples()

Returns:

the total number of examples used to compute the score.

getNrOfPositiveExamples

public int getNrOfPositiveExamples()

Returns:

the number of positive examples used to compute the score.

getNrOfNegativeExamples

public int getNrOfNegativeExamples()

Returns:

the number of negative examples used to compute the score.