org.apache.ctakes.ytex.kernel.dao

Interface ClassifierEvaluationDao

All Known Implementing Classes:

ClassifierEvaluationDaoImpl

public interface ClassifierEvaluationDao

Method Summary

Modifier and Type	Method and Description
void	deleteCrossValidationFoldByName(String name, String splitName)
void	deleteFeatureEvaluation(String corpusName, String featureSetName, String label, String evaluationType, Integer foldId, Double param1, String param2)
void	deleteFeatureEvaluationByNameAndType(String corpusName, String featureSetName, String type)
List<Object[]>	getCorpusCuiTuis(String corpusName, String conceptGraphName, String conceptSetName)
CrossValidationFold	getCrossValidationFold(String corpusName, String splitName, String label, int run, int fold)
Map<String,Double>	getFeatureRankEvaluations(Set<String> featureNames, String corpusName, String featureSetName, String label, String evaluationType, Integer foldId, double param1, String param2)
Map<String,Double>	getFeatureRankEvaluations(String corpusName, String featureSetName, String label, String evaluationType, Integer foldId, double param1, String param2)
Map<String,FeatureRank>	getFeatureRanks(Set<String> featureNames, String corpusName, String featureSetName, String label, String evaluationType, Integer foldId, double param1, String param2)
List<FeatureRank>	getImputedFeaturesByPropagatedCutoff(String corpusName, String conceptSetName, String label, String evaluationType, String conceptGraphName, String propEvaluationType, int propRankCutoff)
Map<String,Double>	getInfoContent(String corpusName, String conceptGraphName, String conceptSet)
List<ConceptInfo>	getIntrinsicInfoContent(String conceptGraphName)
Integer	getMaxDepth(String conceptGraphName)
Double	getMaxFeatureEvaluation(String corpusName, String featureSetName, String label, String evaluationType, Integer foldId, double param1, String param2)
List<FeatureRank>	getThresholdFeatures(String corpusName, String featureSetName, String label, String type, Integer foldId, double param1, String param2, double parentConceptEvaluationThreshold)
List<FeatureRank>	getTopFeatures(String corpusName, String featureSetName, String label, String type, Integer foldId, double param1, String param2, Integer parentConceptTopThreshold)
void	saveClassifierEvaluation(ClassifierEvaluation eval, Map<Integer,String> irClassMap, boolean saveInstanceEval)
void	saveClassifierEvaluation(ClassifierEvaluation eval, Map<Integer,String> irClassMap, boolean saveInstanceEval, boolean saveIRStats, Integer excludeTargetClassId)
void	saveFeatureEvaluation(FeatureEvaluation featureEvaluation, List<FeatureRank> features)
void	saveFeatureParentChild(FeatureParentChild parchd)
void	saveFold(CrossValidationFold fold)

Method Detail

saveClassifierEvaluation

void saveClassifierEvaluation(ClassifierEvaluation eval,
                              Map<Integer,String> irClassMap,
                              boolean saveInstanceEval)

saveFold

void saveFold(CrossValidationFold fold)

deleteCrossValidationFoldByName

void deleteCrossValidationFoldByName(String name,
                                     String splitName)

saveFeatureEvaluation

void saveFeatureEvaluation(FeatureEvaluation featureEvaluation,
                           List<FeatureRank> features)

deleteFeatureEvaluationByNameAndType

void deleteFeatureEvaluationByNameAndType(String corpusName,
                                          String featureSetName,
                                          String type)

saveClassifierEvaluation

void saveClassifierEvaluation(ClassifierEvaluation eval,
                              Map<Integer,String> irClassMap,
                              boolean saveInstanceEval,
                              boolean saveIRStats,
                              Integer excludeTargetClassId)

Parameters:

eval - evaluation to save

saveInstanceEval - save instance level evaluations - default false

saveIRStats - save IR statistics - default true

excludeTargetClassId - for semi-supervised learners, don't want to include the unlabeled instances in computation of ir statistics. this specifies the class id of the unlabeled instances (default 0)

getCrossValidationFold

CrossValidationFold getCrossValidationFold(String corpusName,
                                           String splitName,
                                           String label,
                                           int run,
                                           int fold)

getTopFeatures

List<FeatureRank> getTopFeatures(String corpusName,
                                 String featureSetName,
                                 String label,
                                 String type,
                                 Integer foldId,
                                 double param1,
                                 String param2,
                                 Integer parentConceptTopThreshold)

getThresholdFeatures

List<FeatureRank> getThresholdFeatures(String corpusName,
                                       String featureSetName,
                                       String label,
                                       String type,
                                       Integer foldId,
                                       double param1,
                                       String param2,
                                       double parentConceptEvaluationThreshold)

deleteFeatureEvaluation

void deleteFeatureEvaluation(String corpusName,
                             String featureSetName,
                             String label,
                             String evaluationType,
                             Integer foldId,
                             Double param1,
                             String param2)

getFeatureRankEvaluations

Map<String,Double> getFeatureRankEvaluations(String corpusName,
                                             String featureSetName,
                                             String label,
                                             String evaluationType,
                                             Integer foldId,
                                             double param1,
                                             String param2)

getFeatureRankEvaluations

Map<String,Double> getFeatureRankEvaluations(Set<String> featureNames,
                                             String corpusName,
                                             String featureSetName,
                                             String label,
                                             String evaluationType,
                                             Integer foldId,
                                             double param1,
                                             String param2)

getFeatureRanks

Map<String,FeatureRank> getFeatureRanks(Set<String> featureNames,
                                        String corpusName,
                                        String featureSetName,
                                        String label,
                                        String evaluationType,
                                        Integer foldId,
                                        double param1,
                                        String param2)

getCorpusCuiTuis

List<Object[]> getCorpusCuiTuis(String corpusName,
                                String conceptGraphName,
                                String conceptSetName)

getInfoContent

Map<String,Double> getInfoContent(String corpusName,
                                  String conceptGraphName,
                                  String conceptSet)

getIntrinsicInfoContent

List<ConceptInfo> getIntrinsicInfoContent(String conceptGraphName)

saveFeatureParentChild

void saveFeatureParentChild(FeatureParentChild parchd)

getImputedFeaturesByPropagatedCutoff

List<FeatureRank> getImputedFeaturesByPropagatedCutoff(String corpusName,
                                                       String conceptSetName,
                                                       String label,
                                                       String evaluationType,
                                                       String conceptGraphName,
                                                       String propEvaluationType,
                                                       int propRankCutoff)

getMaxFeatureEvaluation

Double getMaxFeatureEvaluation(String corpusName,
                               String featureSetName,
                               String label,
                               String evaluationType,
                               Integer foldId,
                               double param1,
                               String param2)

getMaxDepth

Integer getMaxDepth(String conceptGraphName)