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 |
|---|---|---|---|
| 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 |
