Metadata-Version: 2.1
Name: glest
Version: 0.0.1a1
Summary: Estimate the grouping loss of your probabilistic classifiers.
Author-email: Alexandre Perez-Lebel <alexandre.perez@inria.fr>
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: pre-commit ; extra == "dev"
Requires-Dist: nox ; extra == "dev"
Requires-Dist: sphinx ; extra == "doc"
Requires-Dist: pydata-sphinx-theme ; extra == "doc"
Requires-Dist: sphinx-gallery ; extra == "doc"
Requires-Dist: matplotlib ; extra == "doc"
Requires-Dist: pillow ; extra == "doc"
Requires-Dist: numpy==1.22 ; extra == "oldest_deps"
Requires-Dist: scikit-learn==1.1.3 ; extra == "oldest_deps"
Requires-Dist: pandas==1.5.1 ; extra == "oldest_deps"
Requires-Dist: pytest ; extra == "test"
Requires-Dist: pytest-cov ; extra == "test"
Project-URL: Bug Tracker, https://github.com/aperezlebel/glest/issues
Project-URL: Homepage, https://github.com/aperezlebel/glest
Provides-Extra: dev
Provides-Extra: doc
Provides-Extra: oldest_deps
Provides-Extra: test

# glest: Estimation of the grouping loss of a probabilistic classifier

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/aperezlebel/glest.git/HEAD?labpath=examples%2Fexample.ipynb)
[![codecov](https://codecov.io/gh/aperezlebel/glest/graph/badge.svg?token=KPDTI0WGUT)](https://codecov.io/gh/aperezlebel/glest)
[![CI](https://github.com/aperezlebel/glest/actions/workflows/ci.yml/badge.svg)](https://github.com/aperezlebel/glest/actions/workflows/ci.yml)


## Install

From PyPi:
```
pip install glest
```

From source:
```
pip install git+https://github.com/aperezlebel/glest.git
```

## Cite

```bibtex
@inproceedings{perez-lebel2023,
    title={Beyond calibration: estimating the grouping loss of modern neural networks},
    author={Alexandre Perez-Lebel and Marine Le Morvan and Gaël Varoquaux},
    booktitle={Proceedings of the International Conference on Learning Representations},
    year={2023},
    url={https://doi.org/10.48550/arXiv.2210.16315}
}
```

