dataeval.metrics.estimators#

Estimators calculate performance bounds and the statistical distance between datasets.

Classes#

`BEROutput`	Output class for `ber()` estimator metric
`DivergenceOutput`	Output class for `divergence()` estimator metric
`UAPOutput`	Output class for `uap()` estimator metric

`ber`(images, labels[, k, method])	An estimator for Multi-class Bayes error rate using FR or KNN test statistic basis
`divergence`(data_a, data_b[, method])	Calculates the :term`divergence` and any errors between the datasets
`uap`(labels, scores)	FR Test Statistic based estimate of the empirical mean precision for