Uses of Record Class
org.egothor.methodatlas.eval.AccuracyMetrics.Result

Packages that use AccuracyMetrics.Result

Package	Description
org.egothor.methodatlas.eval	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.Result in org.egothor.methodatlas.eval

Methods in org.egothor.methodatlas.eval that return AccuracyMetrics.Result

Modifier and Type	Method	Description
static AccuracyMetrics.Result	AccuracyMetrics.compute(Collection<AccuracyMetrics.Sample> samples)	Computes all metrics for the given samples.
AccuracyMetrics.Result	AccuracyEvaluator.Evaluation.metrics()	Returns the value of the metrics record component.

Constructors in org.egothor.methodatlas.eval with parameters of type AccuracyMetrics.Result

Modifier	Constructor	Description
	Evaluation(AccuracyMetrics.Result metrics, int predictionRows, int evaluated, int unlabelledPredictions, int unpredictedLabels, int staleLabelEntries)	Creates an instance of a Evaluation record class.