-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsetup.py
54 lines (51 loc) · 1.88 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
import setuptools
# read the contents of your README file
from pathlib import Path
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
setuptools.setup(
name="segmentae",
version="0.9.0",
description="SegmentAE: A Python Library for Anomaly Detection Optimization",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/TsLu1s/SegmentAE",
author="Luís Santos",
author_email="[email protected]",
license="MIT",
classifiers=[
# Indicate who your project is intended for
"Intended Audience :: Education",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Customer Service",
"Intended Audience :: Financial and Insurance Industry",
"Intended Audience :: Healthcare Industry",
"Intended Audience :: Telecommunications Industry",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Mathematics",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
py_modules=["segmentae"],
packages=setuptools.find_packages(where="src"),
package_dir={"": "src"},
keywords=[
"python"
"data science",
"machine learning",
"deep learning",
"neural networks",
"autoencoder",
"clustering",
"anomaly detection",
"novelty detection"
"fraud detection",
"data preprocessing",
],
install_requires=open("requirements.txt").readlines(),
)