forestci: confidence intervals for scikit-learn forest algorithms
Project Links
Meta
Author: Ariel Rokem, Bryna Hazelton, Kivan Polimis
Maintainer: Ariel Rokem
Classifiers
Development Status
- 3 - Alpha
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python
Topic
- Scientific/Engineering
forest-confidence-interval is a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. The core functions calculate an in-bag and error bars for random forest objects
Please read the repository README on Github or our documentation
0.7
Jul 09, 2024
0.6
Jun 12, 2022
0.6.dev0
Jun 12, 2022
0.5.1
Jul 09, 2021
0.5
Jul 09, 2021
0.4.1
May 24, 2020
0.4
May 24, 2020
0.3
Nov 11, 2017
0.2
Nov 10, 2017
0.1
Aug 22, 2016
Files in release
No dependencies