Metadata-Version: 2.1
Name: embedded-voting
Version: 0.1.2
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
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
License-File: LICENSE
License-File: AUTHORS.rst

===============
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.

0.1.1 (2021-04-02)
------------------

* Minor bugs.

0.1.2 (2021-07-05)
------------------

* New version with handy way to use the library for algorithm aggregation and epistemic social choice



