{ "info": { "author": "Deyber Arley Valencia Gomez", "author_email": "valencia.arley4@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "===========\nactivations\n===========\n\n\n.. image:: https://img.shields.io/pypi/v/activation.svg\n :target: https://pypi.python.org/pypi/activation\n\n.. image:: https://img.shields.io/travis/deybvagm/activation.svg\n :target: https://travis-ci.org/deybvagm/activation\n\n.. image:: https://readthedocs.org/projects/activation/badge/?version=latest\n :target: https://activation.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n\n\n\nactivation function for machine learning. This package only computes the sigmoid activation function on an scalar or a numpy array\n\n\n* Free software: MIT license\n* Documentation: https://activation.readthedocs.io.\n\n\nFeatures\n--------\n\n* TODO\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2018-03-10)\n------------------\n\n* First release on PyPI.", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/deybvagm/activation", "keywords": "activation", "license": "MIT license", "maintainer": "", "maintainer_email": "", "name": "activation", "package_url": "https://pypi.org/project/activation/", "platform": "", "project_url": "https://pypi.org/project/activation/", "project_urls": { "Homepage": "https://github.com/deybvagm/activation" }, "release_url": "https://pypi.org/project/activation/0.1.0/", "requires_dist": null, "requires_python": "", "summary": "activation function for machine learning", "version": "0.1.0" }, "last_serial": 3657569, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "049bed1b7bb4817c522c57cf201b8060", "sha256": "b6dc48c8428be73d9ab3bd4fd6b66855b1c7c4812772ddf6778f18b09f02afa1" }, "downloads": -1, "filename": "activation-0.1.0.tar.gz", "has_sig": false, "md5_digest": "049bed1b7bb4817c522c57cf201b8060", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 13665, "upload_time": "2018-03-10T18:04:01", "url": "https://files.pythonhosted.org/packages/79/66/580415f07fedd16c9a954546f27fc0714f20419eb107054c03f2dc360ee8/activation-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "049bed1b7bb4817c522c57cf201b8060", "sha256": "b6dc48c8428be73d9ab3bd4fd6b66855b1c7c4812772ddf6778f18b09f02afa1" }, "downloads": -1, "filename": "activation-0.1.0.tar.gz", "has_sig": false, "md5_digest": "049bed1b7bb4817c522c57cf201b8060", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 13665, "upload_time": "2018-03-10T18:04:01", "url": "https://files.pythonhosted.org/packages/79/66/580415f07fedd16c9a954546f27fc0714f20419eb107054c03f2dc360ee8/activation-0.1.0.tar.gz" } ] }