Metadata-Version: 2.1
Name: reliabots
Version: 0.2.2
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
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/patpizio/reliabots/issues
Platform: UNKNOWN
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 (>=1.20.2)
Requires-Dist: scikit-learn (>=0.24.2)
Requires-Dist: scipy (>=1.6.3)
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.

Install with
```
pip install --index-url https://test.pypi.org/simple/ --no-deps conformal_predictors-patpizio
```
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.


