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36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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from numpy.distutils.core import Extension, setup
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from sphinx.setup_command import BuildDoc
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# Version number
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version = '0.1.3'
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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setup(name = 'GPy',
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version = version,
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author = 'James Hensman, Nicolo Fusi, Ricardo Andrade, Nicolas Durrande, Alan Saul, Neil D. Lawrence',
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author_email = "james.hensman@gmail.com",
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description = ("The Gaussian Process Toolbox"),
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license = "BSD 3-clause",
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keywords = "machine-learning gaussian-processes kernels",
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url = "http://ml.sheffield.ac.uk/GPy/",
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packages = ['GPy', 'GPy.core', 'GPy.kern', 'GPy.util', 'GPy.models', 'GPy.inference', 'GPy.examples'],
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package_dir={'GPy': 'GPy'},
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package_data = {'GPy': ['GPy/examples']},
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py_modules = ['GPy.__init__'],
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long_description=read('README'),
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ext_modules = [Extension(name = 'GPy.kern.lfmUpsilonf2py',
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sources = ['GPy/kern/src/lfmUpsilonf2py.f90'])],
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install_requires=['numpy>=1.6', 'scipy>=0.9','matplotlib>=1.1'],
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setup_requires=['sphinx'],
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cmdclass = {'build_sphinx': BuildDoc},
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classifiers=[
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"Development Status :: 1 - Alpha",
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"Topic :: Machine Learning",
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"License :: OSI Approved :: BSD License"],
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)
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