forestci

forestci: confidence intervals for scikit-learn forest algorithms

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Homepage

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

Project description

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

Project details

These details have not been verified by PyPI

Project links

Homepage

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

Release history Release notifications | RSS feed

0.7

Jul 9, 2024

0.6

Jun 12, 2022

0.6.dev0 pre-release

Jun 12, 2022

0.5.1

Jul 9, 2021

0.5

Jul 9, 2021

0.4.1

May 24, 2020

0.4

May 24, 2020

This version

0.3

Nov 11, 2017

0.2

Nov 10, 2017

0.1

Aug 22, 2016

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