Metadata-Version: 2.1
Name: cipred
Version: 0.1b0
Summary: Non-parametric error prediction with random forest model.
Home-page: https://github.com/j-m-l-e-u/cipred_pkg
Author: Jean-Marie Lepioufle
Author-email: Jean-Marie Lepioufle <jm@jeanmarie.eu>
License: MIT + Copyright Jean-Marie Lepioufle
Project-URL: Homepage, https://github.com/j-m-l-e-u/cipred_pkg
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: examples
License-File: LICENSE

# cipred

Non-parametric error prediction with random forest model in python.

[![DOI](https://zenodo.org/badge/605932757.svg)](https://zenodo.org/badge/latestdoi/605932757)


## install from source
```bash
cd /tmp
git clone https://github.com/j-m-l-e-u/cipred_pkg.git
cd cipred_pkg
pip3 install -e .
```

Package 'cipred' has been tested on python 3.8 and 3.9

## References

- [A Unified Framework for Random Forest Prediction Error Estimation](https://www.jmlr.org/papers/volume22/18-558/18-558.pdf), and

- [Error Prediction of Air Quality at Monitoring Stations Using Random Forest in a Total Error Framework](https://www.mdpi.com/1424-8220/21/6/2160/htm).

## For R users

Please use the R-package [forestError](https://github.com/benjilu/forestError).
