forked from theislab/batchglm
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
67 lines (64 loc) · 1.69 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
from setuptools import setup, find_packages
import versioneer
author = 'Florian R. Hölzlwimmer, David S. Fischer'
author_email='[email protected], [email protected]'
description="Fast and scalable fitting of over-determined generalized-linear models (GLMs)"
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='batchglm',
author=author,
author_email=author_email,
description=description,
long_description=long_description,
long_description_content_type="text/markdown",
packages=find_packages(),
install_requires=[
'tensorflow>=1.10.0',
'tensorflow-probability',
'numpy>=1.14.0',
'scipy',
'pandas',
'xarray',
'dask',
# HDF5 / NetCDF support
'h5netcdf',
'netcdf4', # currently needed for 'xr.open_mfdataset'
'toolz',
# design matrix generation
'patsy',
],
extras_require={
'scanpy_deps': [
"scanpy",
"anndata"
],
# 'plotting_deps': [
# "matplotlib",
# "plotnine",
# "seaborn"
# ],
'tensorflow_gpu': [
"tensorflow-gpu",
"tensorflow-probability-gpu",
],
'benchmarks': [
'PyYAML',
"plotnine",
"matplotlib",
],
'tutorials': [
'sklearn',
'mlxtend',
],
'docs': [
'sphinx',
'sphinx-autodoc-typehints',
'sphinx_rtd_theme',
'jinja2',
'docutils',
],
},
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
)