forked from guillermo-navas-palencia/optbinning
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
109 lines (87 loc) · 2.95 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
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
#!/usr/bin/env python
import os
import sys
from setuptools import find_packages, setup, Command
from setuptools.command.test import test as TestCommand
long_description = '''
The optimal binning is the optimal discretization of a variable into bins
given a discrete or continuous numeric target. OptBinning is a library
written in Python implementing a rigorous and flexible mathematical
programming formulation to solving the optimal binning problem for a binary,
continuous and multiclass target type, incorporating constraints not
previously addressed.
Read the documentation at: http://gnpalencia.org/optbinning/
OptBinning is distributed under the Apache Software License (Apache 2.0).
'''
class CleanCommand(Command):
user_options = []
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
os.system('rm -vrf ./build ./dist ./*.pyc ./*.tgz ./*.egg-info')
# test suites
class PyTest(TestCommand):
def finalize_options(self):
TestCommand.finalize_options(self)
self.test_args = []
self.test_suite = []
def run_tests(self):
# import here, because outside the eggs aren't loaded
import pytest
errcode = pytest.main(self.test_args)
sys.exit(errcode)
# install requirements
install_requires = [
'matplotlib',
'numpy>=1.16.1',
'ortools>=9.4',
'pandas',
'ropwr>=1.0.0',
'scikit-learn>=1.0.2',
'scipy>=1.6.0',
]
# test requirements
tests_require = [
'pytest',
'coverage'
]
# extra requirements
extras_require = {
'distributed': ['pympler', 'tdigest'],
}
# Read version file
version_info = {}
with open("optbinning/_version.py") as f:
exec(f.read(), version_info)
setup(
name="optbinning",
version=version_info['__version__'],
description="OptBinning: The Python Optimal Binning library",
long_description=long_description,
author="Guillermo Navas-Palencia",
author_email="[email protected]",
packages=find_packages(exclude=['tests', 'tests.*']),
platforms="any",
include_package_data=True,
license="Apache Licence 2.0",
url="https://github.com/guillermo-navas-palencia/optbinning",
cmdclass={'clean': CleanCommand, 'test': PyTest},
python_requires='>=3.7',
install_requires=install_requires,
tests_require=tests_require,
extras_require=extras_require,
classifiers=[
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9']
)