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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
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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>.
Release History

Release History

This version
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2.1.1

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2.1.0

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2.0.3

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2.0.2

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2.0.1

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2.0.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
M-LOOP-2.1.1.tar.gz (36.7 kB) Copy SHA256 Checksum SHA256 Source Nov 4, 2016

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