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.
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Release files for gekko 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gekko-0.2.1.tar.gz | 10.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gekko-0.2.1-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 20.9 MB
Release files / gekko-0.2.1.tar.gz
| Download URL | gekko-0.2.1.tar.gz |
|---|---|
| Size | 10.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/0.9.8 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.5
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Release files / gekko-0.2.1-py2-none-any.whl
| Download URL | gekko-0.2.1-py2-none-any.whl |
|---|---|
| Size | 10.5 MB |
| Tags | Python 2 |
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SHA-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/0.9.8 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.5
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