Uses of Package
org.aksw.limes.core.evaluation.qualititativeMeasures

Packages that use org.aksw.limes.core.evaluation.qualititativeMeasures

Package	Description
org.aksw.limes.core.datastrutures
org.aksw.limes.core.evaluation.evaluator
org.aksw.limes.core.evaluation.qualititativeMeasures
org.aksw.limes.core.ml.algorithm
org.aksw.limes.core.ml.algorithm.dragon
org.aksw.limes.core.ml.algorithm.eagle.core
org.aksw.limes.core.ml.algorithm.euclid
org.aksw.limes.core.ml.algorithm.wombat

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.datastrutures

Class and Description
PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure. Thereby, not relying on any gold standard.

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.evaluation.evaluator

Class and Description
IQualitativeMeasure An Interface specifies the calculate method signature to be implemented by all qualitative measures

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.evaluation.qualititativeMeasures

Class and Description
APRF This class is an abstract class for the Precision, Recall and F-Measure classes. It contains set of methods that calculate the values of true-positive, false-positive, true-negative and false-negative which are used by evaluators classes to evaluate the mappings results.
APseudoPRF This class is an abstract class for the Pseudo Precision, Pseudo Recall and Pseudo F-Measure classes. It extends the abstract class PRF and implements additional methods that sets, gets and checks some flags values required for pseudo-measures.
IQualitativeMeasure An Interface specifies the calculate method signature to be implemented by all qualitative measures
PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure. Thereby, not relying on any gold standard.
PseudoPrecision Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure.
PseudoRecall Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure.

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.ml.algorithm

Class and Description
PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure. Thereby, not relying on any gold standard.

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.ml.algorithm.dragon

Class and Description
PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure. Thereby, not relying on any gold standard.

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.ml.algorithm.eagle.core

Class and Description
IQualitativeMeasure An Interface specifies the calculate method signature to be implemented by all qualitative measures
PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure. Thereby, not relying on any gold standard.

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.ml.algorithm.euclid

Class and Description
IQualitativeMeasure An Interface specifies the calculate method signature to be implemented by all qualitative measures
PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure. Thereby, not relying on any gold standard.

Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.ml.algorithm.wombat

Class and Description
PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure. Thereby, not relying on any gold standard.