Metadata-Version: 2.1
Name: omnifold
Version: 0.1.6
Summary: OmniFold, a library to perform unbinned and high-dimensional unfolding for HEP.
Home-page: https://github.com/ViniciusMikuni/omnifold
Author: Vinicius Mikuni
Author-email: vmikuni@lbl.gov
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: horovod==0.28.1
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: PyYAML
Requires-Dist: setuptools
Requires-Dist: tensorflow

# Pip installable version of OmniFold

This repository contains simple examples of implementing the OmniFold algorithm originally described in [Phys. Rev. Lett. 124 (2020) 182001](https://dx.doi.org/10.1103/PhysRevLett.124.182001), [1911.09107 [hep-ph]](https://arxiv.org/abs/1911.09107).  The code for the original paper can be found at [this repository](https://github.com/ericmetodiev/OmniFold), which includes a [binder demo](https://mybinder.org/v2/gh/ericmetodiev/OmniFold/master).  This repository was created to maintain a simple version of the OmniFold algorithm that can be pip installed as:

```bash
pip install unbinned-unfold==0.1.7
```

For a simple example see the notebooks OmniFold_example.ipynb and OmniFold_example_pc.ipynb
