Metadata-Version: 2.1
Name: reliabots
Version: 0.2.5
Summary: Improve the reliability of machine learning models with conformal prediction
Home-page: https://github.com/patpizio/reliabots
Author: Patrizio Giovannotti
Author-email: patrizio.giovannotti.2019@live.rhul.ac.uk
Project-URL: Bug Tracker, https://github.com/patpizio/reliabots/issues
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
License-File: LICENSE
Requires-Dist: numpy (<1.20)
Requires-Dist: scikit-learn (>=0.24.2)
Requires-Dist: scipy (<1.6.0)
Requires-Dist: plotly (>=4.14.3)
Requires-Dist: kaleido (>=0.2.1)
Requires-Dist: pandas (>=1.2.4)
Requires-Dist: nonconformist (>=2.1.0)

# reliabots (work in progress)
 
Make your machine learning model more reliable with conformal prediction!

Install with
```
pip install reliabots
```
The Conformal Prediction framework is described in a book by [Vovk et al. (2005)](http://alrw.net). 

[A Tutorial on Conformal Prediction](https://jmlr.org/papers/volume9/shafer08a/shafer08a.pdf) provides a gentle introduction.
