| 12345678910111213141516171819202122232425262728 |
- __version__ = "1.9.0"
- __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__",
- ]
|
