Factual package intelligence from PyPI
HILO-MPC is a toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
pip install hilo-mpc
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<4.0.0,>=3.6.5<2.0>=2.0.0hilo-mpc publishes 1 wheel and 1 source archive for version 2.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 9 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .