Uses of Class
de.uni_trier.wi2.procake.retrieval.SimpleSimilarityResult

Packages that use SimpleSimilarityResult

Package	Description
de.uni_trier.wi2.procake.retrieval	Retrieval package description
de.uni_trier.wi2.procake.utils.eval
de.uni_trier.wi2.procake.utils.eval.metrics.full
de.uni_trier.wi2.procake.utils.eval.metrics.k

Uses of SimpleSimilarityResult in de.uni_trier.wi2.procake.retrieval

Methods in de.uni_trier.wi2.procake.retrieval that return SimpleSimilarityResult

Modifier and Type	Method	Description
static SimpleSimilarityResult	SimpleSimilarityResult.fromRetrievalResultList(RetrievalResultList retrievalResultList)	Create a simple similarity result from a retrieval result list.

Methods in de.uni_trier.wi2.procake.retrieval that return types with arguments of type SimpleSimilarityResult

Modifier and Type	Method	Description
static List<SimpleSimilarityResult>	SimpleSimilarityResult.fromMultiKeyMap(org.apache.commons.collections4.map.MultiKeyMap<String,Double> multiKeyMap)	Create a simple similarity result from a multi-key map (usually from parsed CSV).

Uses of SimpleSimilarityResult in de.uni_trier.wi2.procake.utils.eval

Fields in de.uni_trier.wi2.procake.utils.eval with type parameters of type SimpleSimilarityResult

Modifier and Type	Field	Description
protected List<SimpleSimilarityResult>	RetrieverEvaluation.groundTruthSimilarities	The ground-truth similarities are stored as a list of simple similarity results that come from retrievals.

Methods in de.uni_trier.wi2.procake.utils.eval that return SimpleSimilarityResult

Modifier and Type	Method	Description
SimpleSimilarityResult	MACRetrievalResult.getSimpleSimResult()

Methods in de.uni_trier.wi2.procake.utils.eval that return types with arguments of type SimpleSimilarityResult

Modifier and Type	Method	Description
static List<SimpleSimilarityResult>	RetrieverEvaluationUtils.computeGroundTruthSimilarities(Retriever<NESTWorkflowObject,Query> groundTruthRetriever, WriteableObjectPool<NESTWorkflowObject> trainCaseBase, WriteableObjectPool<NESTWorkflowObject> testCaseBase, String pathGroundTruthSimilarities)	Computes the ground-truth similarities with the given ground-truth retriever.
static List<SimpleSimilarityResult>	RetrieverEvaluationUtils.computeGroundTruthSimilarities(Retriever<NESTWorkflowObject,Query> groundTruthRetriever, TrainingObjectPool<NESTWorkflowObject> trainingObjectPool, String pathGroundTruthSimilarities)	Computes the ground-truth similarities with the given ground-truth retriever.
static List<SimpleSimilarityResult>	RetrieverEvaluationUtils.loadGroundTruthSimilarities(String pathGroundTruthSimilarities)	Loads the ground-truth similarities from file system at the specified path.

Methods in de.uni_trier.wi2.procake.utils.eval with parameters of type SimpleSimilarityResult

Modifier and Type	Method	Description
double	EvalMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)	Computes a ranking metric for the complete ranking.

Method parameters in de.uni_trier.wi2.procake.utils.eval with type arguments of type SimpleSimilarityResult

Modifier and Type	Method	Description
void	RetrieverEvaluation.setGroundTruthSimilarities(List<SimpleSimilarityResult> gtSimilarities)	Set the ground-truth similarities that are loaded outside of the evaluation.
static void	RetrieverEvaluationUtils.testGroundTruthSimilarities(WriteableObjectPool<NESTWorkflowObject> trainCaseBase, WriteableObjectPool<NESTWorkflowObject> testCaseBase, List<SimpleSimilarityResult> groundTruthSimilarities)	Checks the ground-truth similarities by searching for every pair of query and case in them.
static void	RetrieverEvaluationUtils.testGroundTruthSimilarities(TrainingObjectPool<NESTWorkflowObject> trainingObjectPool, List<SimpleSimilarityResult> groundTruthSimilarities)	Checks the ground-truth similarities by searching for every pair of query and case in them.

Constructors in de.uni_trier.wi2.procake.utils.eval with parameters of type SimpleSimilarityResult

Constructor	Description
MACRetrievalResult(SimpleSimilarityResult simpleSimResult, double timeMs, String retriever)

Uses of SimpleSimilarityResult in de.uni_trier.wi2.procake.utils.eval.metrics.full

Methods in de.uni_trier.wi2.procake.utils.eval.metrics.full with parameters of type SimpleSimilarityResult

Modifier and Type	Method	Description
double	CompletenessMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)
double	CorrectnessMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)
double	DistanceMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)
double	ErrorSpanMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)	Computes error span for two retrieval results.
double	KendallMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)
double	MAEMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)	Computes MSE and MAE for two retrieval results.
double	MedianAverageErrorMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)	Computes Median Average Error for two retrieval results.
double	MSEMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)
double	SpearmanMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)

Uses of SimpleSimilarityResult in de.uni_trier.wi2.procake.utils.eval.metrics.k

Methods in de.uni_trier.wi2.procake.utils.eval.metrics.k with parameters of type SimpleSimilarityResult

Modifier and Type	Method	Description
double	HitsMetric.computeEvalKMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult, Integer k)
double	HitsNormMetric.computeEvalKMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult, Integer k)
abstract double	KEvalMetric.computeEvalKMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult, Integer k)	Computes a ranking metric for the top-k cases of the ranking results.
double	QualityMuellerMetric.computeEvalKMetric(SimpleSimilarityResult groundTruthResult, SimpleSimilarityResult predictedResult, Integer k)
double	QualityStromerMetric.computeEvalKMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult, Integer k)
double	KEvalMetric.computeEvalMetric(SimpleSimilarityResult groundTruthRankingResult, SimpleSimilarityResult predictedRankingResult)