Factual package intelligence from PyPI
A comprehensive Python module for feature engineering, target computation, rolling window modeling, feature selection, and model evaluation, tailored for time-series forecasting and stock price analysis.
pip install machine-learner
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.21.0>=1.3.0>=1.0.0>=0.12.2>=3.4.0>=0.11.0machine-learner publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .