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Merge pull request #102 from michaelhush/description
Add description for PyPI
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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. See the documentation at http://m-loop.readthedocs.io/. |
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import mloop as ml | ||
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from setuptools import setup, find_packages | ||
from os import path | ||
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def main(): | ||
this_directory = path.abspath(path.dirname(__file__)) | ||
with open(path.join(this_directory, 'DESCRIPTION.rst'), encoding='utf-8') as f: | ||
long_description = f.read() | ||
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setup( | ||
name = 'M-LOOP', | ||
version = ml.__version__, | ||
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@@ -37,6 +42,7 @@ def main(): | |
author = 'Michael R Hush', | ||
author_email = '[email protected]', | ||
description = '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.', | ||
long_description = long_description, | ||
license = 'MIT', | ||
keywords = 'automated machine learning optimization optimisation science experiment quantum', | ||
url = 'https://github.com/michaelhush/M-LOOP/', | ||
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