MLPrimitives/setup.py at master · skyeeiskowitz/MLPrimitives · GitHub

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
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""The setup script."""

from setuptools import setup, find_packages

with open('README.md', encoding='utf-8') as readme_file:
    readme = readme_file.read()

with open('HISTORY.md', encoding='utf-8') as history_file:
    history = history_file.read()

install_requires = [
    'Keras>=2.4',
    'featuretools>=0.6.1,<0.23',
    'iso639>=0.1.4,<0.2',
    'langdetect>=1.0.7,<2',
    'lightfm>=1.15,<2',
    'mlblocks>=0.4.0.dev0,<0.5',
    'networkx>=2.0,<3',
    'nltk>=3.3,<4',
    'opencv-python>=3.4.0.12,<5',
    'pandas>=1,<2',
    'python-louvain>=0.10,<0.14',
    'scikit-image>=0.15',
    'scikit-learn>=0.21',
    'scipy>=1.1.0,<2',
    'statsmodels>=0.9.0,<1',
    'tensorflow>=2,<2.4',
    'xgboost>=0.72.1,<1',

    # Conflict fixing
    'docutils<0.16,>=0.10',
    'urllib3<1.26,>=1.20',
    'h5py<2.11.0,>=2.10.0',
    'numpy<1.19.0,>=1.16.0',
]


setup_requires = [
    'pytest-runner>=2.11.1',
]

tests_require = [
    'pytest>=3.4.2',
    'pytest-cov>=2.6.0',
    'jupyter>=1.0.0,<2',
    'rundoc>=0.4.3,<0.5',
]

development_requires = [
    # general
    'bumpversion>=0.5.3,<0.6',
    'pip>=9.0.1',
    'watchdog>=0.8.3,<0.11',

    # docs
    'm2r>=0.2.0,<0.3',
    'Sphinx>=1.7.1,<3',
    'sphinx_rtd_theme>=0.2.4,<0.5',
    'ipython>=6.5.0',

    # style check
    'flake8>=3.7.7,<4',
    'isort>=4.3.4,<5',

    # fix style issues
    'autoflake>=1.1,<2',
    'autopep8>=1.4.3,<2',

    # distribute on PyPI
    'twine>=1.10.0,<4',
    'wheel>=0.30.0',

    # Advanced testing
    'coverage>=4.5.1,<6',
    'tox>=2.9.1,<4',
    'importlib-metadata<2.0.0,>=0.12'

    # Jupyter
    'jupyter>=1.0.0',
]

extras_require = {
    'test': tests_require,
    'dev': tests_require + development_requires,
}

setup(
    author='MIT Data To AI Lab',
    author_email='dailabmit@gmail.com',
    classifiers=[
        'Development Status :: 2 - Pre-Alpha',
        'Intended Audience :: Developers',
        'License :: OSI Approved :: MIT License',
        'Natural Language :: English',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
    ],
    description='Pipelines and primitives for machine learning and data science.',
    entry_points = {
        'console_scripts': [
            'mlprimitives=mlprimitives.cli:main'
        ],
        'mlblocks': [
            'primitives=mlprimitives:MLBLOCKS_PRIMITIVES',
            'pipelines=mlprimitives:MLBLOCKS_PIPELINES'
        ],
        'mlprimitives': [
            'jsons_path=mlprimitives:MLBLOCKS_PRIMITIVES',
        ]
    },
    extras_require=extras_require,
    include_package_data=True,
    install_requires=install_requires,
    keywords='mlblocks mlprimitives pipelines primitives machine learning data science',
    license='MIT license',
    long_description=readme + '\n\n' + history,
    long_description_content_type='text/markdown',
    name='mlprimitives',
    packages=find_packages(include=['mlprimitives', 'mlprimitives.*']),
    python_requires='>=3.6,<3.9',
    setup_requires=setup_requires,
    test_suite='tests',
    tests_require=tests_require,
    url='https://github.com/HDI-Project/MLPrimitives',
    version='0.3.0.dev2',
    zip_safe=False,
)