Package de.uni_trier.wi2.procake.utils.eval.metrics.k

Class QualityMuellerMetric

java.lang.Object

de.uni_trier.wi2.procake.utils.eval.metrics.k.KEvalMetric

de.uni_trier.wi2.procake.utils.eval.metrics.k.QualityMuellerMetric

All Implemented Interfaces:

EvalMetric

public class QualityMuellerMetric
extends KEvalMetric

Implementation of the quality metric according to Bergmann and Müller.

Author:

Maximilian Hoffmann

Constructor Summary

Constructors

Constructor	Description
QualityMuellerMetric()
QualityMuellerMetric(int k)

Method Summary

Modifier and Type	Method	Description
double	computeEvalKMetric(SimpleSimilarityResult groundTruthResult, SimpleSimilarityResult predictedResult, Integer k)	Computes a ranking metric for the top-k cases of the ranking results.
String	getMetricName()	Returns a name for the metric to be identified in any string representations.

Methods inherited from class de.uni_trier.wi2.procake.utils.eval.metrics.k.KEvalMetric

computeEvalMetric, getK, setK

Methods inherited from class java.lang.Object

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

Constructor Details

QualityMuellerMetric

public QualityMuellerMetric()

QualityMuellerMetric

public QualityMuellerMetric(int k)

Method Details

getMetricName

public String getMetricName()

Description copied from interface: EvalMetric

Returns a name for the metric to be identified in any string representations.

Specified by:

getMetricName in interface EvalMetric

Overrides:

getMetricName in class KEvalMetric

Returns:

the name of the metric

computeEvalKMetric

public double computeEvalKMetric(SimpleSimilarityResult groundTruthResult,
 SimpleSimilarityResult predictedResult,
 Integer k)

Description copied from class: KEvalMetric

Computes a ranking metric for the top-k cases of the ranking results.

Specified by:

computeEvalKMetric in class KEvalMetric

Parameters:

groundTruthResult - the ground-truth ranking

predictedResult - the predicted ranking results to analyze

k - the number of top cases to look at

Returns:

a score for the ranking according to this metric