forked from parsing-science/pymc3_models
/
setup.py
43 lines (38 loc) · 1.02 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
from setuptools import setup, find_packages
with open('README.rst') as r:
readme = r.read()
with open('AUTHORS.txt') as a:
# reSt-ify the authors list
authors = ''
for author in a.read().split('\n'):
authors += '| '+author+'\n'
with open('LICENSE') as l:
license = l.read()
setup(
name='pymc3_models',
version='1.1.3',
description='Custom PyMC3 models built on top of the scikit-learn API',
long_description=readme,
author='Nicole Carlson',
author_email='nicole@parsingscience.com',
url='https://github.com/parsing-science/pymc3_models',
license=license,
packages=find_packages(),
package_data={'docs': ['*']},
include_package_data=True,
zip_safe=False,
install_requires=[
'joblib',
'matplotlib',
'numpy',
'pandas>=0.19',
'pymc3>=3.3',
'scipy',
'seaborn',
'sklearn'
],
classifiers=[
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.4'
]
)