M-LOOP

by michaelhush

michaelhush / M-LOOP

M-LOOP: Machine-learning online optimization package

131 Stars 39 Forks Last release: 3 months ago (3.1.1) MIT License 402 Commits 10 Releases

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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::

make 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 [email protected].

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