org.dllearner.core

Class Score

java.lang.Object

org.dllearner.core.Score

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

AxiomScore, ClassScore, QueryTreeScore, ScorePosNeg, ScorePosOnly, ScoreSimple

public abstract class Score
extends Object
implements Serializable

The score class is used to store how well a hypothesis did on a learning problem. Depending on the learning problem at hand, different criteria can be used. (Similar learning problems probably score hypothesis in a similar way.) TODO: Maybe we don't really need a score, but only EvaluatedDescription.

Author:

Jens Lehmann

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Score()

Method Summary

Modifier and Type	Method and Description
abstract double	getAccuracy() This method returns a value, which indicates how accurate a hypothesis solves a learning problem.

Methods inherited from class java.lang.Object

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

Constructor Detail

Score

public Score()

Method Detail

getAccuracy

public abstract double getAccuracy()

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

Returns:

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

See Also:

AbstractLearningProblem.getAccuracyOrTooWeak(OWLObject, double)