Metadata-Version: 2.1
Name: embedded_voting
Version: 0.1.0
Summary: This contains the code for the work on embedded voting done during my internship at Nokia
Home-page: https://github.com/TheoDlmz/embedded_voting
Author: Théo Delemazure
Author-email: theo.delemazure@ens.fr
License: GNU General Public License v3
Description: ===============
        Embedded Voting
        ===============
        
        
        .. image:: https://img.shields.io/pypi/v/embedded_voting.svg
                :target: https://pypi.python.org/pypi/embedded_voting
        
        .. image:: https://img.shields.io/travis/TheoDlmz/embedded_voting.svg
                :target: https://travis-ci.org/TheoDlmz/embedded_voting
        
        .. image:: https://readthedocs.org/projects/embedded-voting/badge/?version=latest
                :target: https://embedded-voting.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
        .. image:: https://codecov.io/gh/TheoDlmz/embedded_voting/branch/master/graphs/badge.svg
                :target: https://codecov.io/gh/TheoDlmz/embedded_voting/branch/master/graphs/badge
                :alt: Code Coverage
        
        
        
        
        
        This contains the code for the work on embedded voting done during my internship at Nokia
        
        
        * Free software: GNU General Public License v3
        * Documentation: https://embedded-voting.readthedocs.io.
        
        
        Features
        --------
        
        * Create a voting profile in which voters are associated to embeddings.
        * Run elections on these profiles with different rules, using the geometrical aspects of the embeddings.
        * The rules are defined for cardinal preferences, but some of them are adapted for the case of ordinal preferences.
        * There are rules for single-winner elections and multi-winner elections.
        * Classes to analyse the evolution of the score when the embeddings of one voter are changing.
        * Classes to analyse the manipulability of the rules.
        * Classes for algorithm aggregation.
        * A lot of tutorials.
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `francois-durand/package_helper`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`francois-durand/package_helper`: https://github.com/francois-durand/package_helper
        
        
        =======
        History
        =======
        
        0.1.0 (2021-03-31)
        ------------------
        
        * End of the internship, first release on PyPI.
        * TODO : Clean the doc.
        * TODO : finish the "algorithm aggregation" part (notebook 8).
        
Keywords: embedded_voting
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
