Uses of Record Class
org.egothor.methodatlas.eval.AccuracyMetrics.Counts
Packages that use AccuracyMetrics.Counts
Package
Description
AI-classification accuracy evaluation: scores AI predictions against a
human-reviewed labelled set (the
ClassificationOverride YAML format)
and reports precision, recall, F1 and support per taxonomy tag and for the
securityRelevant decision.-
Uses of AccuracyMetrics.Counts in org.egothor.methodatlas.eval
Methods in org.egothor.methodatlas.eval that return AccuracyMetrics.CountsModifier and TypeMethodDescriptionAccuracyMetrics.TagResult.counts()Returns the value of thecountsrecord component.AccuracyMetrics.Result.relevance()Returns the value of therelevancerecord component.AccuracyMetrics.Result.tagsMicro()Returns the value of thetagsMicrorecord component.Constructors in org.egothor.methodatlas.eval with parameters of type AccuracyMetrics.CountsModifierConstructorDescriptionResult(AccuracyMetrics.Counts relevance, List<AccuracyMetrics.TagResult> tags, AccuracyMetrics.Counts tagsMicro, OptionalDouble tagsMacroF1, int relevanceSamples, int tagSamples) Creates an instance of aResultrecord class.TagResult(String tag, AccuracyMetrics.Counts counts) Creates an instance of aTagResultrecord class.