org.aksw.limes.core.datastrutures

Class EvaluationRun

java.lang.Object

org.aksw.limes.core.datastrutures.EvaluationRun

public class EvaluationRun
extends Object

This class represents a single run for an algorithm with specific implementation using specific datasets with its qualitative scores and quantitative records

Since:

1.0

Version:

1.0

Author:

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

Field Summary

Fields

Modifier and Type	Field and Description
Map<EvaluatorType,Double>	qualititativeScores The qualitative measures scores e.g.
Map<EvaluatorType,org.apache.commons.math3.util.Pair<Double,Double>>	qualititativeScoresWithVariance The qualitative measures scores e.g.

Constructor Summary

Constructors

Constructor and Description
EvaluationRun()
EvaluationRun(String algorithmName, String datasetName, Map<EvaluatorType,Double> evaluatorsScores)
EvaluationRun(String algorithmName, String datasetName, Map<EvaluatorType,Double> evaluatorsScores, RunRecord quantitativeRecord)
EvaluationRun(String algorithmName, String implementation, String datasetName, Map<EvaluatorType,Double> evaluatorsScores)
EvaluationRun(String algorithmName, String implementation, String datasetName, Map<EvaluatorType,Double> evaluatorsScores, int run)
EvaluationRun(String algorithmName, String implementation, String datasetName, Map<EvaluatorType,Double> evaluatorsScores, int run, LinkSpecification learnedLS)
EvaluationRun(String algorithmName, String implementation, String datasetName, Map<EvaluatorType,Double> evaluatorsScores, LinkSpecification learnedLS)

Method Summary

Modifier and Type	Method and Description
EvaluationRun	clone()
void	display() This method displays the evaluation run values in a tabular form
String	getAlgorithmName()
String	getDatasetName()
String	getImplementationType()
Set<EvaluatorType>	getQualititativeMeasures()
RunRecord	getQuanititativeRecord()
int	getRunInExperiment()
String	Serialize(String separator)
void	setQuanititativeRecord(RunRecord quanititativeRecord)
void	setRunInExperiment(int runInExperiment)
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

qualititativeScores

public Map<EvaluatorType,Double> qualititativeScores

The qualitative measures scores e.g. F-MEASURE

qualititativeScoresWithVariance

public Map<EvaluatorType,org.apache.commons.math3.util.Pair<Double,Double>> qualititativeScoresWithVariance

The qualitative measures scores e.g. F-MEASURE with value as first pair value, and variance as second

Constructor Detail

EvaluationRun

public EvaluationRun()

EvaluationRun

public EvaluationRun(String algorithmName,
                     String datasetName,
                     Map<EvaluatorType,Double> evaluatorsScores)

Parameters:

algorithmName - The name of the evaluated algorithm

datasetName - The name of used dataset for evaluation

evaluatorsScores - A map of pairs (evaluator,score), e.g (F-MEASURE,0.9)

EvaluationRun

public EvaluationRun(String algorithmName,
                     String implementation,
                     String datasetName,
                     Map<EvaluatorType,Double> evaluatorsScores)

Parameters:

algorithmName - The name of the evaluated algorithm

implementation - The implementation type of the evaluated algorithm

datasetName - The name of used dataset for evaluation

evaluatorsScores - A map of pairs (evaluator,score), e.g (F-MEASURE,0.9)

EvaluationRun

public EvaluationRun(String algorithmName,
                     String implementation,
                     String datasetName,
                     Map<EvaluatorType,Double> evaluatorsScores,
                     int run)

EvaluationRun

public EvaluationRun(String algorithmName,
                     String implementation,
                     String datasetName,
                     Map<EvaluatorType,Double> evaluatorsScores,
                     LinkSpecification learnedLS)

Parameters:

algorithmName - The name of the evaluated algorithm

implementation - The implementation type of the evaluated algorithm

datasetName - The name of used dataset for evaluation

evaluatorsScores - A map of pairs (evaluator,score), e.g (F-MEASURE,0.9)

learnedLS - learned LinkSpec

EvaluationRun

public EvaluationRun(String algorithmName,
                     String implementation,
                     String datasetName,
                     Map<EvaluatorType,Double> evaluatorsScores,
                     int run,
                     LinkSpecification learnedLS)

EvaluationRun

public EvaluationRun(String algorithmName,
                     String datasetName,
                     Map<EvaluatorType,Double> evaluatorsScores,
                     RunRecord quantitativeRecord)

Parameters:

algorithmName - The name of the evaluated algorithm

datasetName - The name of used dataset for evaluation

evaluatorsScores - A map of pairs (evaluator,score), e.g (F-MEASURE,0.9)

quantitativeRecord - A record of the quantitative measures values

Method Detail

getQualititativeMeasures

public Set<EvaluatorType> getQualititativeMeasures()

display

public void display()

This method displays the evaluation run values in a tabular form

toString

public String toString()

Overrides:

toString in class Object

Serialize

public String Serialize(String separator)

getAlgorithmName

public String getAlgorithmName()

getImplementationType

public String getImplementationType()

getDatasetName

public String getDatasetName()

getRunInExperiment

public int getRunInExperiment()

setRunInExperiment

public void setRunInExperiment(int runInExperiment)

getQuanititativeRecord

public RunRecord getQuanititativeRecord()

setQuanititativeRecord

public void setQuanititativeRecord(RunRecord quanititativeRecord)

clone

public EvaluationRun clone()

Overrides:

clone in class Object