dataeval.utils

The utility classes and functions are provided by DataEval to assist users in setting up architectures that are guaranteed to work with applicable DataEval metrics. Currently DataEval supports both TensorFlow and PyTorch backends.

Submodules

tensorflow	TensorFlow models are used in out of distribution detectors in the dataeval.detectors.ood module.
torch	PyTorch is the primary backend for metrics that require neural networks.