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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

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Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
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Wheel py2 Nov 11, 2017
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Wheel py3 Nov 11, 2017
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Source None Nov 11, 2017

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