Machine learning and optimization for dynamic systems
Project description
GEKKO is a python package for machine learning and optimization, specializing in dynamic optimization of differential algebraic equations (DAE) systems. GEKKO provides a user-friendly interface to the powerful APMonitor optimization suite on the back end. It is coupled with large-scale solvers for linear, quadratic, nonlinear, and mixed integer programming (LP, QP, NLP, MILP, MINLP). Capabilities include machine learning, discrete or continuous models, real-time optimization, simulation, moving horizon estimation, and nonlinear predictive control.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gekko-0.2.8.tar.gz
(10.8 MB
view hashes)
Built Distribution
gekko-0.2.8-py3-none-any.whl
(10.8 MB
view hashes)