Skip to main content

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

This version

0.2.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gekko-0.2.0.tar.gz (9.2 MB view hashes)

Uploaded Source

Built Distribution

gekko-0.2.0-py2-none-any.whl (9.3 MB view hashes)

Uploaded Python 2

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page