forestci: confidence intervals for scikit-learn forest algorithms
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
forestci-0.5.1.tar.gz
(12.2 kB
view hashes)
Built Distribution
forestci-0.5.1-py3-none-any.whl
(11.7 kB
view hashes)