M-LOOP: Machine-learning online optimization package. A python package of automated optimization tools - enhanced with machine-learning - for quantum scientific experiments, computer controlled systems or other optimization tasks.
Project description
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M-LOOP
======
The Machine-Learner Online Optimization Package is designed to automatically and rapidly optimize the parameters of a scientific experiment or computer controller system.
To install M-LOOP simply run::
python setup.py develop
In the M-LOOP source folder.
For more details on how to use the package see the documentation. You can see it online at
http://m-loop.readthedocs.io/
Or you can build it by entering the docs folder and running:
build html
The docs can then be found in docs/build/html
If you use M-LOOP please cite its first application:
http://www.nature.com/articles/srep25890
M-LOOP is written and maintained by Michael R Hush <MichaelRHush@gmail.com>.
M-LOOP
======
The Machine-Learner Online Optimization Package is designed to automatically and rapidly optimize the parameters of a scientific experiment or computer controller system.
To install M-LOOP simply run::
python setup.py develop
In the M-LOOP source folder.
For more details on how to use the package see the documentation. You can see it online at
http://m-loop.readthedocs.io/
Or you can build it by entering the docs folder and running:
build html
The docs can then be found in docs/build/html
If you use M-LOOP please cite its first application:
http://www.nature.com/articles/srep25890
M-LOOP is written and maintained by Michael R Hush <MichaelRHush@gmail.com>.
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