-
Notifications
You must be signed in to change notification settings - Fork 4
/
Copy pathsetup.cfg
88 lines (80 loc) · 2.07 KB
/
setup.cfg
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
[metadata]
name = sacroml
version = 1.2.1
description = Tools for the statistical disclosure control of machine learning models
long_description = file: README.md
long_description_content_type = text/markdown
url = https://github.com/AI-SDC/SACRO-ML
maintainer = Jim Smith
maintainer_email = [email protected]
license = MIT
license_files = LICENSE.md
classifiers =
Development Status :: 5 - Production/Stable
Intended Audience :: Developers
Intended Audience :: Science/Research
License :: OSI Approved :: MIT License
Natural Language :: English
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Programming Language :: Python :: 3.11
Topic :: Scientific/Engineering
Topic :: Scientific/Engineering :: Artificial Intelligence
Topic :: Scientific/Engineering :: Information Analysis
Operating System :: OS Independent
keywords =
data-privacy
data-protection
machine-learning
privacy
privacy-tools
statistical-disclosure-control
project_urls =
Changelog = https://github.com/AI-SDC/SACRO-ML/CHANGELOG.md
Documentation = https://ai-sdc.github.io/SACRO-ML/
Bug Tracker = https://github.com/AI-SDC/SACRO-ML/issues
Discussions = https://github.com/AI-SDC/SACRO-ML/discussions
[options]
python_requires = >=3.9,<3.12
zip_safe = False
include_package_data = True
packages = find:
install_requires =
acro==0.4.6
fpdf
pypdf
multiprocess
scikit-learn
xgboost
[options.entry_points]
console_scripts =
sacroml = sacroml.main:main
[options.package_data]
sacroml.safemodel = rules.json
[options.extras_require]
safemodel =
tensorflow>=2.14,<2.15
tensorflow-privacy==0.9.0
dictdiffer
doc =
tensorflow>=2.14,<2.15
tensorflow-privacy==0.9.0
dictdiffer
numpydoc
sphinx-autopackagesummary
sphinx-issues
sphinx-prompt
sphinx-rtd-theme
sphinx
test =
tensorflow>=2.14,<2.15
tensorflow-privacy==0.9.0
dictdiffer
pytest
pytest-cov
[options.packages.find]
exclude =
docs*
examples*
tests*
user_stories*