forestci
calculate confidence intervals for scikit-learn random forest regression or classification objects
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Description
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
About
Summary
calculate confidence intervals for scikit-learn random forest regression or classification objects
Last Updated
Jan 18, 2023 at 13:41
License
MIT
Total Downloads
87.4K
Supported Platforms
noarch
Unsupported Platforms
linux-64 Last supported version: 0.1
win-32 Last supported version: 0.3
macOS-64 Last supported version: 0.3
win-64 Last supported version: 0.3
GitHub Repository
https://github.com/scikit-learn-contrib/forest-confidence-interval