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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.

Release History

Release History

This version
History Node

0.1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
forestci-0.1-py2-none-any.whl (12.7 kB) Copy SHA256 Checksum SHA256 py2 Wheel Aug 22, 2016
forestci-0.1.tar.gz (5.2 kB) Copy SHA256 Checksum SHA256 Source Aug 22, 2016

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