Metadata-Version: 2.1
Name: Blauwal3-Fairness
Version: 1.0.1
Summary: 蓝鲸的的公平性意识机器学习扩展，需要安装tensorflow和pytorch，占用资源较大，无特殊需要，可不安装。
Home-page: https://github.com/biolab/orange3-fairness
Author: Bioinformatics Laboratory, FRI UL
Author-email: info@biolab.si
Maintainer: Zan Mervic
License: GPL3+
Keywords: orange3 add-on,orange3 fairness
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: Blauwal3
Requires-Dist: aif360>=0.6.0
Requires-Dist: aif360[all]
Requires-Dist: torch<=2.2
Requires-Dist: torchvision
Requires-Dist: torchaudio
Provides-Extra: doc
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: sphinx_rtd_theme; extra == "doc"
Requires-Dist: recommonmark; extra == "doc"

Orange3 Fairness
================

Orange3 Fairness is an add-on for the [Orange3](http://orangedatamining.com/) data mining suite. 
It provides extensions for fairness-aware AI, which includes algorithms for detecting and mitigating 
different types of biases in the data and the predictions of machine learning models. 
See [documentation](https://orange3-fairness.readthedocs.io/).

Features
--------
#### Bias detection
* detect bias present in the data
* detect bias present in model predictions

#### Bias mitigation
* pre-processing, in-processing and post-processing methods for bias mitigation

