forked from LOVE-DOCTOR/MultiTrain
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
76 lines (74 loc) · 2.59 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
from setuptools import setup, find_packages
with open("README.md", "r") as f:
desc = f.read()
setup(
name='MultiTrain', # name of package
version="0.13.11",
author='Shittu Samson',
author_email='tunexo885@gmail.com',
maintainer='Shittu Samson',
maintainer_email='tunex885@gmail.com',
description="MultiTrain allows you to train multiple machine learning algorithms on a dataset all at once to "
"determine the best for that particular use case",
long_description=desc,
long_description_content_type="text/markdown",
keywords=[
"multitrain",
"multi",
"train",
"MultiTrain",
"multiclass",
"classifier",
"automl",
"AutoML",
"train multiple models",
],
url="https://github.com/LOVE-DOCTOR/train-with-models",
packages=find_packages(
include=[
"MultiTrain",
"MultiTrain.tests",
"MultiTrain.methods",
"MultiTrain.errors",
"MultiTrain.regression",
"MultiTrain.classification",
]
),
classifiers=[
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Natural Language :: English",
"Development Status :: 3 - Alpha",
"Framework :: Jupyter",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Intended Audience :: Developers",
"Topic :: Software Development :: Libraries :: Python Modules",
],
py_modules=["MultiTrain"],
zip_safe=False,
python_requires='>=3.8',
install_requires=["matplotlib==3.5.3",
"pandas==1.4.4",
"scikit-learn==1.1.1",
"numpy==1.23.3",
"plotly==5.10.0",
"ipython==8.4.0",
"xgboost==1.6.2",
"catboost",
"imbalanced-learn==0.9.1",
"seaborn==0.12.0",
"scikit-optimize==0.9.0",
"lightgbm==3.3.2",
"kaleido==0.2.1",
"threadpoolctl==3.1.0",
"tqdm==4.64.0",
"jinja2==3.1.2",
"openpyxl==3.0.10",
"ipywidgets==8.0.2"]
)