| __version__ = "1.6.2" | |
| __author__ = "Lightning-AI et al." | |
| __author_email__ = "name@pytorchlightning.ai" | |
| __license__ = "Apache-2.0" | |
| __copyright__ = f"Copyright (c) 2020-2024, {__author__}." | |
| __homepage__ = "https://github.com/Lightning-AI/torchmetrics" | |
| __docs__ = "PyTorch native Metrics" | |
| __docs_url__ = "https://lightning.ai/docs/torchmetrics/stable/" | |
| __long_doc__ = """ | |
| Torchmetrics is a metrics API created for easy metric development and usage in both PyTorch and | |
| [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/). It was originally a part of | |
| Pytorch Lightning, but got split off so users could take advantage of the large collection of metrics | |
| implemented without having to install Pytorch Lightning (even though we would love for you to try it out). | |
| We currently have around 100+ metrics implemented and we continuously are adding more metrics, both within | |
| already covered domains (classification, regression etc.) but also new domains (object detection etc.). | |
| We make sure that all our metrics are rigorously tested such that you can trust them. | |
| """ | |
| __all__ = [ | |
| "__author__", | |
| "__author_email__", | |
| "__copyright__", | |
| "__docs__", | |
| "__docs_url__", | |
| "__homepage__", | |
| "__license__", | |
| "__version__", | |
| ] | |