dataeval.utils¶

The utility classes and functions are provided by DataEval to assist users in setting up data and architectures that are guaranteed to work with applicable DataEval metrics.

Submodules¶

`torch`	PyTorch is the primary backend for metrics that require neural networks.

Functions¶

`flatten`(…)	Flattens a dictionary and converts values to numeric values when possible.
`merge`(…)	Merges a collection of metadata dictionaries into a single flattened