Repository navigation
Expand file tree
/
Copy pathsetup.py
More file actions
69 lines (66 loc) · 2.31 KB
/
Copy pathsetup.py
File metadata and controls
69 lines (66 loc) · 2.31 KB
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
"""
CausalInference-Toolkit
Comprehensive causal inference framework for high-stakes decisions
"""
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="causal-inference-toolkit",
version="1.0.0",
author="Mahesh Solanki",
author_email="maheshsinh1910@gmail.com",
description="Comprehensive causal inference framework for high-stakes decisions",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/twomathematicians-code/CausalInference-Toolkit",
project_urls={
"Bug Tracker": "https://github.com/twomathematicians-code/CausalInference-Toolkit/issues",
"Documentation": "https://causalinference-toolkit.readthedocs.io/",
"Source Code": "https://github.com/twomathematicians-code/CausalInference-Toolkit",
},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"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 :: Mathematics",
],
package_dir={"": "src"},
packages=find_packages(where="src"),
python_requires=">=3.8",
install_requires=[
"numpy>=1.21.0",
"pandas>=1.3.0",
"scikit-learn>=1.0.0",
"scipy>=1.7.0",
"matplotlib>=3.4.0",
"seaborn>=0.11.0",
"statsmodels>=0.13.0",
],
extras_require={
"full": [
"torch>=1.10.0",
"econml>=0.12.0",
"dowhy>=0.8.0",
"causalnex>=0.11.0",
"graphviz>=0.19.0",
"plotly>=5.3.0",
],
"dev": [
"pytest>=6.2.0",
"pytest-cov>=3.0.0",
"black>=21.0",
"flake8>=4.0.0",
"mypy>=0.910",
],
},
keywords="causal inference, machine learning, statistics, econometrics, data science",
)