Metadata-Version: 2.1
Name: eeyore
Version: 0.0.20
Summary: MCMC methods for neural networks
Home-page: https://github.com/papamarkou/eeyore
Download-URL: https://github.com/papamarkou/eeyore/archive/v0.0.20.tar.gz
Author: Theodore Papamarkou
Author-email: theodore.papamarkou@gmail.com
License: MIT
Keywords: Bayesian inference,Bayesian neural networks,convergence diagnostics,Markov chain Monte Carlo,posterior predictive distribution
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
License-File: LICENSE.txt

![](https://github.com/papamarkou/eeyore/workflows/eeyore/badge.svg)

MCMC methods for neural networks.

eeyore can be installed via conda or via pip.

To install eeyore using conda, run
```
conda install -c conda-forge eeyore
```

To install eeyore using pip, run
```
pip install eeyore
```
