dataeval.utils.torch¶

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

While these metrics can take in custom models, DataEval provides utility classes to create a seamless integration between custom models and DataEval’s metrics.

Submodules¶

`models`	Simple PyTorch model architectures used by DataEval.
`trainer`	Utility classes for training PyTorch models.