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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_
.. _README: https://github.com/scikit-learn-contrib/forest-confidence-interval/blob/master/README.md
.. _documentation: http://contrib.scikit-learn.org/forest-confidence-interval/
FAQs
forestci: confidence intervals for scikit-learn forest algorithms
We found that forestci demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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