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embedded-voting-0.1.6
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مشاهده بیشترتوضیحات
This contains the code for the work on embedded voting done during my internship at Nokia
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | embedded-voting-0.1.6 |
| نام | embedded-voting |
| نسخه کتابخانه | 0.1.6 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Théo Delemazure |
| ایمیل نویسنده | theo.delemazure@ens.fr |
| آدرس صفحه اصلی | https://github.com/TheoDlmz/embedded_voting |
| آدرس اینترنتی | https://pypi.org/project/embedded-voting/ |
| مجوز | GNU General Public License v3 |
===============
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
=======
0.1.6 (2023-01-23)
-------------------------------
* `Aggregators`:
* Possibility to add or not the current ratings to the training set.
* `Embeddings`:
* The parameter `norm` has no default value (instead of `True`).
* Fix a bug: when `norm=False`, the values of the attributes `n_voter` and `n_dim` were swapped by mistake.
* Rename method `scored` to `times_ratings_candidate`.
* Rename method `_get_center` to `get_center`, so that it is now part of the API.
* Rename method `normalize` to `normalized`, `recenter` to `recentered`, `dilate` to `dilated` because they
return a new `Embeddings` object (not modify the object in place).
* Fix a bug in method `get_center`.
* Methods `get_center`, `recentered` and `dilated` now also work with non-normalized embeddings.
* Document that `dilated` can output embeddings that are not in the positive orthant.
* Add `dilated_new`: new dilatation method whose output is in the positive orthant.
* Add `recentered_and_dilated`: recenter and dilate the embeddings (using `dilated_new`).
* Add `mixed_with`: mix the given `Embeddings` object with another one.
* Rename `plot_scores` to `plot_ratings_candidate`.
* Embeddings generators:
* Rename `EmbeddingsGeneratorRandom` to `EmbeddingsGeneratorUniform`.
* Add `EmbeddingsGeneratorFullyPolarized`: create embeddings that are random vectors of the canonical basis.
* `EmbeddingsGeneratorPolarized` now relies on `EmbeddingsGeneratorUniform`, `EmbeddingsGeneratorFullyPolarized`
and the method `Embeddings.mixed_with`.
* Move `EmbeddingCorrelation` and renamed it.
* Rewrote the `EmbeddingsFromRatingsCorrelation` and how it compute the number of singular values to take.
* Epistemic ratings generators:
* Add `TruthGenerator`: a generator for the ground truth ("true value") of each candidate.
* Add `TruthGeneratorUniform`: a uniform generator for the ground truth ("true value") of each candidate.
* `RatingsGeneratorEpistemic` and its subclasses now take a `TruthGenerator` as parameter.
* Add `RatingsGeneratorEpistemicGroups` as an intermediate class between the parent class `RatingsGeneratorEpistemic`
and the child classes using groups of voters.
* `RatingsGeneratorEpistemic` now do not take groups sizes as parameter: only `RatingsGeneratorEpistemicGroups`
and its subclasses do.
* Rename `RatingsGeneratorEpistemicGroupedMean` to `RatingsGeneratorEpistemicGroupsMean`,
`RatingsGeneratorEpistemicGroupedMix` to `RatingsGeneratorEpistemicGroupsMix`
`RatingsGeneratorEpistemicGroupedNoise` to `RatingsGeneratorEpistemicGroupsNoise`.
* Remove method `RatingsGeneratorEpistemic.generate_true_values`: the same result can be obtained with
`RatingsGeneratorEpistemic.truth_generator`.
* Add `RatingsGeneratorEpistemicGroupedMixFree` and `RatingsGeneratorEpistemicGroupsMixScale`.
* Ratings generators:
* `RatingsGenerator` and subclasses: remove `*args` in call because it was not used.
* `RatingsGeneratorUniform`: add optional parameters `minimum_rating` and `maximum_rating`.
* Possibility to save scores in a csv file
* `RatingsFromEmbeddingsCorrelated`:
* Move parameter `coherence` from `__call__` to `__init__`.
* Rename parameter `scores_matrix` to `ratings_dim_candidate`.
* Parameters `n_dim` and `n_candidates` are optional if `ratings_dim_candidate` is specified.
* Add optional parameters `minimum_random_rating`, `maximum_random_rating` and `clip`.
* Parameter `clip` now defaults to `False` (the former version behaved as if `clip` was always True).
* Single-winner rules:
* Rename `ScoringRule` to `Rule`.
* Rename all subclasses accordingly. For example, rename `FastNash` to `RuleFastNash`.
* Rename `SumScores` to `RuleSumRatings` and `ProductScores` to `RuleProductRatings`.
* Rename `RulePositionalExtension` to `RulePositional` and rename subclasses accordingly.
* Rename `RuleInstantRunoffExtension` to `RuleInstantRunoff`.
* Add `RuleApprovalSum`, `RuleApprovalProduct`, `RuleApprovalRandom`.
* Changed the default renormalization function in `RuleFast`.
* Change the method in `RuleMLEGaussian`.
* Add `RuleModelAware`.
* Add `RuleRatingsHistory`.
* Add `RuleShiftProduct` which replace `RuleProductRatings`.
* Multiwinner rules: rename all rules with prefix `MultiwinnerRule`. For example, rename `IterFeatures` to
`MultiwinnerRuleIterFeatures`.
* Manipulation:
* Rename `SingleVoterManipulation` to `Manipulation` and rename subclasses accordingly.
* Rename `SingleVoterManipulationExtension` to `ManipulationOrdinal` and rename subclasses accordingly.
* Rename `ManipulationCoalitionExtension` to `ManipulationCoalitionOrdinal` and rename subclasses accordingly.
* Rename `AggregatorSum` to `AggregatorSumRatings` and `AggregatorProduct` to `AggregatorProductRatings`.
* Add `max_angular_dilatation_factor`: maximum angular dilatation factor to stay in the positive orthant.
* Rename `create_3D_plot` to `create_3d_plot`.
* Moved function to the utils module.
* Reorganize the file structure of the project.
0.1.5 (2022-01-04)
------------------
* Aggregator functions.
* Online learning.
* Refactoring Truth epistemic generators.
* Rule taking history into account.
0.1.4 (2021-12-06)
------------------
* New version with new structure for Ratings and Embeddings
0.1.3 (2021-10-27)
------------------
* New version with new internal structure for the library
0.1.2 (2021-07-05)
------------------
* New version with handy way to use the library for algorithm aggregation and epistemic social choice
0.1.1 (2021-04-02)
------------------
* Minor bugs.
0.1.0 (2021-03-31)
------------------
* End of the internship, first release on PyPI.
نیازمندی
| مقدار | نام |
|---|---|
| - | numpy |
| - | matplotlib |
| - | python-ternary |
| - | scikit-learn |
| - | tqdm |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8 | Python |
نحوه نصب
نصب پکیج whl embedded-voting-0.1.6:
pip install embedded-voting-0.1.6.whl
نصب پکیج tar.gz embedded-voting-0.1.6:
pip install embedded-voting-0.1.6.tar.gz