org.aksw.limes.core.evaluation.qualititativeMeasures

Interface IQualitativeMeasure

All Known Implementing Classes:

Accuracy, APRF, APseudoPRF, AUC, FMeasure, Precision, PseudoFMeasure, PseudoPrecision, PseudoRecall, PseudoRefFMeasure, PseudoRefPrecision, PseudoRefRecall, Recall

public interface IQualitativeMeasure

An Interface specifies the calculate method signature to be implemented by all qualitative measures

Since:

1.0

Version:

1.0

Author:

Mofeed Hassan (mounir@informatik.uni-leipzig.de), Tommaso Soru (tsoru@informatik.uni-leipzig.de)

Method Summary

Modifier and Type	Method and Description
double	calculate(AMapping predictions, GoldStandard goldStandard) The method to be implemented for calculating the accuracy of the machine learning predictions compared to a gold standard

Method Detail

calculate

double calculate(AMapping predictions,
                 GoldStandard goldStandard)

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

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