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34 lines
1.5 KiB
Python
34 lines
1.5 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#import os
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from setuptools import setup
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# Version number
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version = '0.4.6'
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from pkg_resources import Requirement, resource_string
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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 = read('AUTHORS.txt'),
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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://sheffieldml.github.com/GPy/",
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packages = ["GPy.models", "GPy.inference.optimization", "GPy.inference", "GPy.inference.latent_function_inference", "GPy.likelihoods", "GPy.mappings", "GPy.examples", "GPy.core.parameterization", "GPy.core", "GPy.testing", "GPy", "GPy.util", "GPy.kern", "GPy.kern._src.psi_comp", "GPy.kern._src", "GPy.plotting.matplot_dep.latent_space_visualizations.controllers", "GPy.plotting.matplot_dep.latent_space_visualizations", "GPy.plotting.matplot_dep", "GPy.plotting"],
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package_dir={'GPy': 'GPy'},
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package_data = {'GPy': ['defaults.cfg', 'installation.cfg', 'util/data_resources.json', 'util/football_teams.json']},
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py_modules = ['GPy.__init__'],
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long_description=read('README.md'),
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install_requires=['numpy>=1.6', 'scipy>=0.9','matplotlib>=1.1', 'nose'],
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extras_require = {
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'docs':['Sphinx', 'ipython'],
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},
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classifiers=[
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"License :: OSI Approved :: BSD License"],
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zip_safe = False
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)
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