Factual package intelligence from PyPI
This project is about use Random Forest approach using a dynamic tree selection Monte Carlo based.
pip install random-forest-mc
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
random-forest-mc publishes 1 wheel and 1 source archive for version 1.4.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.9.
PyPI lists 22 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 .