uncertainty_forest is a Python package containing estimation procedures for posterior distributions, conditional entropy, and mutual information between random variables X and Y.
See paper: https://arxiv.org/abs/1907.00325
uncertainty_forest package requires only a standard computer with enough RAM to support the in-memory operations.
This package is supported for standard operating systems: macOS, Windows, and Linux. The package has been tested on the following systems:
- macOS: Mojave (10.14.1)
- Linux: Ubuntu 16.04
uncertainty_forest mainly depends on the Python scientific stack.
numpy
scipy
scikit-learn
joblib
git clone https://github.com/neurodata/uncertainty-forest
cd uncertainty-forest
python3 setup.py develop
This project is covered under the Apache 2.0 License.