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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 or our documentation

Project details


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0.3

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0.2

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0.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
forestci-0.3-py2-none-any.whl (11.7 kB) Copy SHA256 hash SHA256 Wheel py2 Nov 11, 2017
forestci-0.3-py3-none-any.whl (11.7 kB) Copy SHA256 hash SHA256 Wheel py3 Nov 11, 2017
forestci-0.3.tar.gz (10.1 kB) Copy SHA256 hash SHA256 Source None Nov 11, 2017

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