Package org.aksw.limes.core.evaluation.qualititativeMeasures

Class APseudoPRF

java.lang.Object

org.aksw.limes.core.evaluation.qualititativeMeasures.APRF

org.aksw.limes.core.evaluation.qualititativeMeasures.APseudoPRF

All Implemented Interfaces:

IQualitativeMeasure

Direct Known Subclasses:

PseudoFMeasure, PseudoPrecision, PseudoRecall

public abstract class APseudoPRF
extends APRF

This class is an abstract class for the Pseudo Precision, Pseudo Recall and Pseudo F-Measure classes.
It extends the abstract class PRF and implements additional methods that sets, gets and checks some flags values required for pseudo-measures. to switch on/off the claculation mode of being symmetric in case of precision or retrieving one-to-one mapping

Since:

1.0

Version:

1.0

Author:

Mofeed Hassan (mounir@informatik.uni-leipzig.de)

Field Summary

Fields

Modifier and Type	Field	Description
boolean	symmetricPrecision	A flag specifies if the calculated precision is symmetric or not

Constructor Summary

Constructors

Constructor	Description
APseudoPRF()

Method Summary

Modifier and Type	Method	Description
abstract double	calculate(AMapping predictions, GoldStandard goldStandard)	The Abstract method to be implemented for calculating the accuracy of the machine learning predictions compared to a gold standard
boolean	getUse1To1Mapping()	The method retrieves the flag value of one-to-one mapping
boolean	isSymmetricPrecision()	The method checks if symmetric precision flag is used
boolean	isUse1To1Mapping()	The method checks if one-to-one mapping is used
void	setSymmetricPrecision(boolean symmetricPrecision)	The method sets the symmetric precision flag
void	setUse1To1Mapping(boolean use1To1Mapping)	The method sets the one-to-one mapping flag

Methods inherited from class org.aksw.limes.core.evaluation.qualititativeMeasures.APRF

falseNegative, trueFalsePositive, trueNegative

Methods inherited from class java.lang.Object

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

Field Detail

symmetricPrecision

public boolean symmetricPrecision

A flag specifies if the calculated precision is symmetric or not

Constructor Detail

APseudoPRF

public APseudoPRF()

Method Detail

calculate

public abstract double calculate(AMapping predictions,
                                 GoldStandard goldStandard)

The Abstract method to be implemented for calculating the accuracy of the machine learning predictions compared to a gold standard

Specified by:

calculate in interface IQualitativeMeasure

Specified by:

calculate in class APRF

Parameters:

predictions - The predictions provided by a machine learning algorithm

goldStandard - It contains the gold standard (reference mapping) combined with the source and target URIs

Returns:

double - This returns the calculated accuracy

isUse1To1Mapping

public boolean isUse1To1Mapping()

The method checks if one-to-one mapping is used

Returns:

boolean - true if one-to-one mapping is used

getUse1To1Mapping

public boolean getUse1To1Mapping()

The method retrieves the flag value of one-to-one mapping

Returns:

boolean - the value of the one-to-one flag

setUse1To1Mapping

public void setUse1To1Mapping(boolean use1To1Mapping)

The method sets the one-to-one mapping flag

Parameters:

use1To1Mapping - The boolean value to be assigned to the flag

isSymmetricPrecision

public boolean isSymmetricPrecision()

The method checks if symmetric precision flag is used

Returns:

boolean - true if symmetric precision is used

setSymmetricPrecision

public void setSymmetricPrecision(boolean symmetricPrecision)

The method sets the symmetric precision flag

Parameters:

symmetricPrecision - The boolean value to be assigned to the flag