{ "info": { "author": "Luca Cappelletti", "author_email": "cappelletti.luca94@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3" ], "description": "miur_daad_balancing\n=========================================================================================\n|travis| |sonar_quality| |sonar_maintainability| |codacy| |code_climate_maintainability| |pip|\n\nTesting dataset balancing techniques from previous works.\n\nHow do I install this package?\n----------------------------------------------\nAs usual, just download it using pip:\n\n.. code:: shell\n\n pip install miur_daad_balancing\n\nTests Coverage\n----------------------------------------------\nSince some software handling coverages sometime get slightly different results, here's three of them:\n\n|coveralls| |sonar_coverage| |code_climate_coverage|\n\nUsage\n----------------------------------------------\nThree balancing methods are available for the MIUR-DAAD project:\n\nUmbalanced\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nThis method just leaves the data as-is, and is used more as callback usefull to uniform the pipeline:\n\n.. code:: python\n\n from miur_daad_balancing import umbalanced\n \n training, testing = generate_my_data(...)\n balanced_training, balanced_testing = umbalanced(training, testing)\n\nBalanced\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nApplies a maximum threshold to every class in the training set as specified in the default package settings (3000):\n\n.. code:: python\n\n from miur_daad_balancing import balanced\n \n training, testing = generate_my_data(...)\n balanced_training, balanced_testing = balanced(training, testing)\n\nFull Balanced\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nApplies a maximum threshold to every class in the training set and balances to some default proportions the testing set:\n\n.. code:: python\n\n from miur_daad_balancing import full_balanced\n \n training, testing = generate_my_data(...)\n balanced_training, balanced_testing = full_balanced(training, testing)\n\n\n.. |travis| image:: https://travis-ci.org/LucaCappelletti94/miur_daad_balancing.png\n :target: https://travis-ci.org/LucaCappelletti94/miur_daad_balancing\n :alt: Travis CI build\n\n.. |sonar_quality| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_miur_daad_balancing&metric=alert_status\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_miur_daad_balancing\n :alt: SonarCloud Quality\n\n.. |sonar_maintainability| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_miur_daad_balancing&metric=sqale_rating\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_miur_daad_balancing\n :alt: SonarCloud Maintainability\n\n.. |sonar_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_miur_daad_balancing&metric=coverage\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_miur_daad_balancing\n :alt: SonarCloud Coverage\n\n.. |coveralls| image:: https://coveralls.io/repos/github/LucaCappelletti94/miur_daad_balancing/badge.svg?branch=master\n :target: https://coveralls.io/github/LucaCappelletti94/miur_daad_balancing?branch=master\n :alt: Coveralls Coverage\n\n.. |pip| image:: https://badge.fury.io/py/miur_daad_balancing.svg\n :target: https://badge.fury.io/py/miur_daad_balancing\n :alt: Pypi project\n\n.. |codacy| image:: https://api.codacy.com/project/badge/Grade/b4a7c72f058b433597426fa696d71539\n :target: https://www.codacy.com/app/LucaCappelletti94/miur_daad_balancing?utm_source=github.com&utm_medium=referral&utm_content=LucaCappelletti94/miur_daad_balancing&utm_campaign=Badge_Grade\n :alt: Codacy Maintainability\n\n.. |code_climate_maintainability| image:: 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