Factual package intelligence from PyPI
Building blocks for quantitative ML pipelines: technical features, preprocessing, feature selection, splitting and random-forest training.
pip install quant-ml-toolkit
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.2.3>=1.26>=1.11>=1.3>=2.8>=3.7quant-ml-toolkit publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
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 .