Metadata-Version: 2.4
Name: QIDLearningLib
Version: 0.0.5
Summary: QIDLearningLib is the first comprehensive Python library designed for automated quasi-identifier (QID) recognition and evaluation in tabular datasets. It integrates metrics from causality, data privacy, and data utility to provide a holistic assessment of potential QIDs, enabling systematic identification and mitigation of privacy risks in data sharing and analysis.
Project-URL: Homepage, https://github.com/smartlord7/QIDLearningLib
Project-URL: Issues, https://github.com/smartlord7/QIDLearningLib/issues
Author-email: Sancho Amaral Simões <sanchoamaralsimoes@gmail.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# QIDLearningLib
A Python library that provides various metrics that may be used in the quasi-identification recognition process. These metrics measure data privacy, data utility, performance of the QID recognition and others.