{ "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": "udbnn\n=========================================================================================\n|travis| |sonar_quality| |sonar_maintainability| |codacy| |code_climate_maintainability| |pip| |downloads|\n\nExperiment to determine whetever a large batch-size can be helpful with extremely umbalanced datasets.\n\nHow do I install this package?\n----------------------------------------------\nAs usual, just download it using pip:\n\n.. code:: shell\n\n pip install udbnn\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\nHow do I run the experiments?\n--------------------------------\nSince the experiments take quite a bit to run, I suggest you to run them while in a TMUX-like environment. If available, you should consider using a computer with a tensorflow-compatible GPU.\n\nThen just run with a python shell:\n\n.. code:: python\n\n from udbnn import run\n run(\"dataset\")\n\n.. |travis| image:: https://travis-ci.org/LucaCappelletti94/udbnn.png\n :target: https://travis-ci.org/LucaCappelletti94/udbnn\n :alt: Travis CI build\n\n.. |sonar_quality| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_udbnn&metric=alert_status\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_udbnn\n :alt: SonarCloud Quality\n\n.. |sonar_maintainability| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_udbnn&metric=sqale_rating\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_udbnn\n :alt: SonarCloud Maintainability\n\n.. |sonar_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_udbnn&metric=coverage\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_udbnn\n :alt: SonarCloud Coverage\n\n.. |coveralls| image:: https://coveralls.io/repos/github/LucaCappelletti94/udbnn/badge.svg?branch=master\n :target: https://coveralls.io/github/LucaCappelletti94/udbnn?branch=master\n :alt: Coveralls Coverage\n\n.. |pip| image:: https://badge.fury.io/py/udbnn.svg\n :target: https://badge.fury.io/py/udbnn\n :alt: Pypi project\n\n.. |downloads| image:: https://pepy.tech/badge/udbnn\n :target: https://pepy.tech/badge/udbnn\n :alt: Pypi total project downloads \n\n.. |codacy| image:: https://api.codacy.com/project/badge/Grade/9768b69bfd1f45968d652d3be1485e61\n :target: https://www.codacy.com/app/LucaCappelletti94/udbnn?utm_source=github.com&utm_medium=referral&utm_content=LucaCappelletti94/udbnn&utm_campaign=Badge_Grade\n :alt: Codacy Maintainability\n\n.. |code_climate_maintainability| image:: https://api.codeclimate.com/v1/badges/109572a7da55a939e097/maintainability\n :target: https://codeclimate.com/github/LucaCappelletti94/udbnn/maintainability\n :alt: Maintainability\n\n.. |code_climate_coverage| image:: https://api.codeclimate.com/v1/badges/109572a7da55a939e097/test_coverage\n :target: https://codeclimate.com/github/LucaCappelletti94/udbnn/test_coverage\n :alt: Code Climate Coverate", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/LucaCappelletti94/udbnn", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "udbnn", "package_url": "https://pypi.org/project/udbnn/", "platform": "", "project_url": "https://pypi.org/project/udbnn/", "project_urls": { "Homepage": "https://github.com/LucaCappelletti94/udbnn" }, "release_url": "https://pypi.org/project/udbnn/0.0.6/", "requires_dist": null, "requires_python": "", "summary": "Experiment to determine whetever a large batch-size can be helpful with extremely umbalanced datasets.", "version": "0.0.6" }, "last_serial": 5349411, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "8cbe4a70983ed21a801adf277dd3e01f", "sha256": "aaa648d9915bfd984486e82e22787cb628b47169d80236d352c68f87ec4b9dea" }, "downloads": -1, "filename": "udbnn-0.0.2.tar.gz", "has_sig": false, "md5_digest": "8cbe4a70983ed21a801adf277dd3e01f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5562, "upload_time": "2019-05-27T09:43:30", "url": "https://files.pythonhosted.org/packages/3f/38/ff96b907f4f24d1d8d3f01f7472aa14cc68a340cc1c994a765e997ab7779/udbnn-0.0.2.tar.gz" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "0d18578ca9011f5ddb5b403e8c7d6080", "sha256": "bcabe23a22012b63f985890bbc2d91e7567aab417ecdbde3516e3c85cce50078" }, "downloads": -1, "filename": "udbnn-0.0.3.tar.gz", "has_sig": false, "md5_digest": "0d18578ca9011f5ddb5b403e8c7d6080", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5566, "upload_time": "2019-05-27T10:42:40", "url": "https://files.pythonhosted.org/packages/04/5b/8ba3a9a15b35cea90cf4242ecd41b9a421332d2ffc14dd0cebb7fa7b594b/udbnn-0.0.3.tar.gz" } ], "0.0.5": [ { "comment_text": "", "digests": { "md5": "49be8287b721eab06e9d5f937e1a7f50", "sha256": "7b7bcb024ad26413065d0d7e000d609a23dd1dcc107abd7f5efd465d5f8b6102" }, "downloads": -1, "filename": "udbnn-0.0.5.tar.gz", "has_sig": false, "md5_digest": "49be8287b721eab06e9d5f937e1a7f50", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5674, "upload_time": "2019-05-30T15:52:06", "url": "https://files.pythonhosted.org/packages/04/7b/02baed6dc4c81c27f19ab9ed9f6b9c0dcebe7e7babd30d160952ab09fe06/udbnn-0.0.5.tar.gz" } ], "0.0.6": [ { "comment_text": "", "digests": { "md5": "9b39ef6a59f91f34e675deaef183d6d5", "sha256": "60b37b8a9268577564d654a324dca1ad999d7f673659ca6ebb61e66f14a039f7" }, "downloads": -1, "filename": "udbnn-0.0.6.tar.gz", "has_sig": false, "md5_digest": "9b39ef6a59f91f34e675deaef183d6d5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6159, "upload_time": "2019-06-02T17:26:33", "url": "https://files.pythonhosted.org/packages/97/5e/98946f57b3e5dbac2a56c7296a9f0a3d8a2d80d08e2b799dd881b12d3be4/udbnn-0.0.6.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9b39ef6a59f91f34e675deaef183d6d5", "sha256": "60b37b8a9268577564d654a324dca1ad999d7f673659ca6ebb61e66f14a039f7" }, "downloads": -1, "filename": "udbnn-0.0.6.tar.gz", "has_sig": false, "md5_digest": "9b39ef6a59f91f34e675deaef183d6d5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6159, "upload_time": "2019-06-02T17:26:33", "url": "https://files.pythonhosted.org/packages/97/5e/98946f57b3e5dbac2a56c7296a9f0a3d8a2d80d08e2b799dd881b12d3be4/udbnn-0.0.6.tar.gz" } ] }