Uses of Class
org.aksw.limes.core.evaluation.evaluator.EvaluatorType
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Uses of EvaluatorType in org.aksw.limes.core.controller
Methods in org.aksw.limes.core.controller with parameters of type EvaluatorType Modifier and Type Method Description static AMappingMLPipeline. execute(ACache source, ACache target, Configuration configuration, String mlAlgorithmName, MLImplementationType mlImplementationType, List<LearningParameter> learningParameters, String trainingDataFile, EvaluatorType pfmType, int maxIt, ActiveLearningOracle oracle) -
Uses of EvaluatorType in org.aksw.limes.core.datastrutures
Fields in org.aksw.limes.core.datastrutures with type parameters of type EvaluatorType Modifier and Type Field Description Map<EvaluatorType,Double>EvaluationRun. qualititativeScoresThe qualitative measures scores e.g.Map<EvaluatorType,org.apache.commons.math3.util.Pair<Double,Double>>EvaluationRun. qualititativeScoresWithVarianceThe qualitative measures scores e.g.Methods in org.aksw.limes.core.datastrutures that return types with arguments of type EvaluatorType Modifier and Type Method Description Set<EvaluatorType>EvaluationRun. getQualititativeMeasures()Constructor parameters in org.aksw.limes.core.datastrutures with type arguments of type EvaluatorType Constructor Description 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)EvaluationRun(String algorithmName, String datasetName, Map<EvaluatorType,Double> evaluatorsScores)EvaluationRun(String algorithmName, String datasetName, Map<EvaluatorType,Double> evaluatorsScores, RunRecord quantitativeRecord) -
Uses of EvaluatorType in org.aksw.limes.core.evaluation.evaluator
Methods in org.aksw.limes.core.evaluation.evaluator that return EvaluatorType Modifier and Type Method Description static EvaluatorTypeEvaluatorType. valueOf(String name)Returns the enum constant of this type with the specified name.static EvaluatorType[]EvaluatorType. values()Returns an array containing the constants of this enum type, in the order they are declared.Methods in org.aksw.limes.core.evaluation.evaluator with parameters of type EvaluatorType Modifier and Type Method Description static IQualitativeMeasureEvaluatorFactory. create(EvaluatorType measure) -
Uses of EvaluatorType in org.aksw.limes.core.evaluation.qualititativeMeasures
Methods in org.aksw.limes.core.evaluation.qualititativeMeasures that return types with arguments of type EvaluatorType Modifier and Type Method Description Map<EvaluatorType,Double>QualitativeMeasuresEvaluator. evaluate(AMapping predictions, GoldStandard goldStandard, Set<EvaluatorType> evaluationMeasures)Method parameters in org.aksw.limes.core.evaluation.qualititativeMeasures with type arguments of type EvaluatorType Modifier and Type Method Description Map<EvaluatorType,Double>QualitativeMeasuresEvaluator. evaluate(AMapping predictions, GoldStandard goldStandard, Set<EvaluatorType> evaluationMeasures) -
Uses of EvaluatorType in org.aksw.limes.core.io.config
Fields in org.aksw.limes.core.io.config declared as EvaluatorType Modifier and Type Field Description protected EvaluatorTypeConfiguration. mlPseudoFMeasureMethods in org.aksw.limes.core.io.config that return EvaluatorType Modifier and Type Method Description EvaluatorTypeConfiguration. getMlPseudoFMeasure()Methods in org.aksw.limes.core.io.config with parameters of type EvaluatorType Modifier and Type Method Description voidConfiguration. setMlPseudoFMeasure(EvaluatorType mlPseudoFMeasure)Constructors in org.aksw.limes.core.io.config with parameters of type EvaluatorType Constructor Description Configuration(KBInfo sourceInfo, KBInfo targetInfo, String metricExpression, String acceptanceRelation, String verificationRelation, double acceptanceThreshold, String acceptanceFile, double verificationThreshold, String verificationFile, Map<String,String> prefixes, String outputFormat, String executionRewriter, String executionPlanner, String executionEngine, int granularity, String mlAlgorithmName, List<LearningParameter> mlParameters, MLImplementationType mlImplementationType, String mlTrainingDataFile, EvaluatorType mlPseudoFMeasure, long maxOpt, double k)
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