dataeval.utils¶

DataEval utilities organized by domain.

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¶

`arrays`	Utility functions for array conversion and manipulation across different frameworks.
`data`	Utility functions for dataset splitting and data and metadata manipulation.
`losses`	Loss functions for training neural networks.
`models`	Simple PyTorch model architectures used by DataEval.
`onnx`	Utilities for working with ONNX models.
`preprocessing`	Utility functions for preprocessing images and bounding boxes.
`thresholds`	Threshold classes for computing lower and upper bounds from data.
`training`	Utility functions for training and inference with PyTorch models.