forestci: confidence intervals for scikit-learn forest algorithms

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License: MIT License (MIT)

Author: Ariel Rokem, Bryna Hazelton, Kivan Polimis

Maintainer: Ariel Rokem

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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

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License: MIT License (MIT)

Author: Ariel Rokem, Bryna Hazelton, Kivan Polimis

Maintainer: Ariel Rokem

Classifiers

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0.6

0.6.dev0 pre-release

0.5.1

0.5

0.4.1

0.4

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0.1

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