Uses of Package
org.aksw.limes.core.evaluation.qualititativeMeasures
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Classes in org.aksw.limes.core.evaluation.qualititativeMeasures used by org.aksw.limes.core.datastrutures Class 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 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 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 measuresPseudoFMeasure 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 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 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 Description IQualitativeMeasure An Interface specifies the calculate method signature to be implemented by all qualitative measuresPseudoFMeasure 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 Description IQualitativeMeasure An Interface specifies the calculate method signature to be implemented by all qualitative measuresPseudoFMeasure 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 Description PseudoFMeasure Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo F-Measure.
Thereby, not relying on any gold standard.