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gnnfairviz

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0.0.1.post1 gnnfairviz-0.0.1.post1-py3-none-any.whl

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Project: gnnfairviz
Version: 0.0.1.post1
Filename: gnnfairviz-0.0.1.post1-py3-none-any.whl
Download: [link]
Size: 34780
MD5: 490e5f6406570d93a4e8058b21d181b4
SHA256: 0e983bffc27f5ad615448faafb5bb3932a4144d5a137d768210d45f028983dd7
Uploaded: 2024-07-07 10:28:24 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: gnnfairviz
Version: 0.0.1.post1
Summary: Official implementation of GNNFairViz
Author-Email: Xinwu Ye <yexw0403[at]foxmail.com>
License: MIT License Copyright (c) 2024 Xinwu Ye Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: fairness,visual analysis,graph neural networks,Jupyter notebook
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Requires-Python: <=3.11,>=3.8
Requires-Dist: numpy (>=1.26.2)
Requires-Dist: holoviews (>=1.16.2)
Requires-Dist: torch (>=2.0.1)
Requires-Dist: dgl (>=1.1.1)
Requires-Dist: pandas (>=1.5.3)
Requires-Dist: panel (>=1.2.0)
Requires-Dist: shapely
Requires-Dist: scikit-learn (>=1.3.0)
Requires-Dist: umap-learn (>=0.5.5)
Requires-Dist: scipy (>=1.11.4)
Requires-Dist: tqdm (>=4.65.0)
Requires-Dist: bokeh (>=3.1.1)
Requires-Dist: matplotlib (>=3.7.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1768 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.2.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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gnnfairviz/metrics/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gnnfairviz/metrics/node_classification.py sha256=G3WDy3cC_yY0oih_DF_msRBKyIuuiLryXYkSSb2qGqQ 15920
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gnnfairviz-0.0.1.post1.dist-info/RECORD — —

top_level.txt

gnnfairviz