Factual package intelligence from PyPI
Scikit compatible implementation of random forests with bayesian vote aggregation introduced in "Decision-forest voting scheme for classification of rare classes in network intrusion detection" by Brabec and Machlica at IEEE SMC 2018
pip install brforest
PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2,>=1.20.3<2,>=0.24.2brforest publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .