forestci: confidence intervals for scikit-learn forest algorithms

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library 0.7 ·python
verified May 1, 2026

forestci provides confidence intervals for random forest predictions using the infinitesimal jackknife method. It supports scikit-learn's RandomForestClassifier, RandomForestRegressor, ExtraTreesClassifier, and ExtraTreesRegressor. Version 0.7 includes bug fixes and improved documentation, with no breaking changes from 0.6. The library is stable but released infrequently.

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