|
5 | 5 | use_setuptools() |
6 | 6 | from setuptools import setup, find_packages |
7 | 7 |
|
8 | | -# from setuptools.command.install import install |
9 | | -# |
10 | | -# class Modulenstalltio |
11 | | - |
12 | 8 |
|
13 | 9 | __version__ = '2.1.0' |
14 | 10 |
|
| 11 | +with open("README.md", "r", encoding="utf-8") as fh: |
| 12 | + long_description = fh.read() |
| 13 | + |
15 | 14 | setup( |
16 | 15 | name='photonai', |
17 | 16 | packages=find_packages(), |
18 | 17 | include_package_data=True, |
19 | 18 | version=__version__, |
20 | | - description=""" |
21 | | -PHOTONAI |
22 | | -is a rapid prototyping framework enabling (not so experienced) users to build, train, optimize, evaluate, |
23 | | -and share even complex machine learning (ML) pipelines with very high efficiency. |
24 | | -
|
25 | | -By pre-registering state-of-the-art ML implementations, we create a system in which the user can select |
26 | | -and arrange processing steps and learning algorithms in simple or parallel pipeline data streams. |
27 | | -
|
28 | | -Importantly, PHOTONAI is capable to automatize the training and testing procedure including nested cross-validation and |
29 | | -hyperparameter search, calculates performance metrics and conveniently visualizes the analyzed hyperparameter space. |
30 | | -
|
31 | | -It also enables the user persist and load your optimal model, including all preprocessing elements, |
32 | | -with only one line of code. |
33 | | -""", |
| 19 | + description="PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.", |
| 20 | + long_description=long_description, |
| 21 | + long_description_content_type="text/markdown", |
| 22 | + license = "GPLv3", |
34 | 23 | author='PHOTONAI Team', |
35 | 24 | |
36 | | - url='https://github.com/mmll-wwu/photonai.git', |
37 | | - download_url='https://github.com/wwu-mmll/photonai/archive/' + __version__ + '.tar.gz', |
| 25 | + url='https://www.photon-ai.com/', |
| 26 | + project_urls={ |
| 27 | + "Source Code": "https://github.com/wwu-mmll/photonai/", |
| 28 | + "Documentation": "https://wwu-mmll.github.io/photonai/", |
| 29 | + "Bug Tracker": "https://github.com/wwu-mmll/photonai/issues", |
| 30 | + }, |
| 31 | + download_url='https://pypi.org/project/photonai/#files', |
38 | 32 | keywords=['machine learning', 'deep learning', 'neural networks', 'hyperparameter'], |
39 | | - classifiers=[], |
| 33 | + classifiers=[ |
| 34 | + "Programming Language :: Python :: 3", |
| 35 | + "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", |
| 36 | + "Operating System :: OS Independent", |
| 37 | + 'Intended Audience :: Science/Research', |
| 38 | + 'Intended Audience :: Developers', |
| 39 | + ], |
40 | 40 | install_requires=[ |
41 | 41 | 'numpy', |
42 | 42 | 'matplotlib', |
|
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