{ "info": { "author": "MARL", "author_email": "brian.mcfee@nyu.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: ISC License (ISCL)", "Programming Language :: Python", "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", "Topic :: Multimedia :: Sound/Audio :: Analysis" ], "description": "# autopool\nAdaptive pooling operators for Multiple Instance Learning ([documentation](http://autopool.readthedocs.io/)).\n\n[![PyPI](https://img.shields.io/pypi/v/autopool.svg)](https://pypi.python.org/pypi/autopool)\n[![License](https://img.shields.io/github/license/mashape/apistatus.svg)](https://opensource.org/licenses/MIT)\n[![Build Status](https://travis-ci.org/marl/autopool.svg?branch=master)](https://travis-ci.org/marl/autopool)\n[![Coverage Status](https://coveralls.io/repos/github/marl/autopool/badge.svg?branch=master)](https://coveralls.io/github/marl/autopool?branch=master)\n[![Documentation Status](https://readthedocs.org/projects/autopool/badge/?version=latest)](http://scaper.readthedocs.io/en/latest/?badge=latest)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/autopool.svg)]()\n\n\nAutoPool is an adaptive (trainable) pooling operator which smoothly interpolates between common pooling operators, such\nas min-, max-, or average-pooling, automatically adapting to the characteristics of the data.\n\nAutoPool can be readily applied to any differentiable model for time-series label prediction. AutoPool is presented in the following paper, where it is evaluated in conjunction with convolutional neural networks for Sound Event Detection:\n\n[Adaptive pooling operators for weakly labeled sound event detection](http://www.justinsalamon.com/uploads/4/3/9/4/4394963/mcfee_autopool_taslp_2018.pdf)
\nBrian Mcfee, Justin Salamon, and Juan Pablo Bello
\nIEEE Transactions on Audio, Speech and Language Processing, In press, 2018.\n\n\n\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "http://github.com/marl/autopool/releases", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/marl/autopool", "keywords": "deep learning,multiple instance learning,machine learning", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "autopool", "package_url": "https://pypi.org/project/autopool/", "platform": "", "project_url": "https://pypi.org/project/autopool/", "project_urls": { "Download": "http://github.com/marl/autopool/releases", "Homepage": "http://github.com/marl/autopool" }, "release_url": "https://pypi.org/project/autopool/0.1.0/", "requires_dist": [ "keras (>=2.0)", "numpydoc; extra == 'docs'", "sphinx-gallery; extra == 'docs'" ], "requires_python": "", "summary": "Adaptive pooling operators for multiple instance learning", "version": "0.1.0" }, "last_serial": 4110465, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "77e18fac2f5e7dac05fa54dc5e29089a", "sha256": "bd6771b4eaa6fc444361a749c883c2e3c372e360fc053f5e841d7146a12936ef" }, "downloads": -1, "filename": "autopool-0.1.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "77e18fac2f5e7dac05fa54dc5e29089a", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 3844, "upload_time": "2018-07-27T21:36:57", "url": "https://files.pythonhosted.org/packages/80/15/d749324bc19edc4ed2ff45e424d4e2722c75b35e9c5efae46fc246da8923/autopool-0.1.0-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "4e70368c9a117e84e6b1b384839a81d9", "sha256": "cb9545092aba5fb4f386d669813c5fb3f18ee363e175394a872b18510e2ce5b2" }, "downloads": -1, "filename": "autopool-0.1.0.tar.gz", "has_sig": false, "md5_digest": "4e70368c9a117e84e6b1b384839a81d9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3273, "upload_time": "2018-07-27T21:36:58", "url": "https://files.pythonhosted.org/packages/02/e8/96fad1700e09193353886fc65436c14366653021d0d74f23a4423ab83c87/autopool-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "77e18fac2f5e7dac05fa54dc5e29089a", "sha256": "bd6771b4eaa6fc444361a749c883c2e3c372e360fc053f5e841d7146a12936ef" }, "downloads": -1, "filename": "autopool-0.1.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "77e18fac2f5e7dac05fa54dc5e29089a", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 3844, "upload_time": "2018-07-27T21:36:57", "url": "https://files.pythonhosted.org/packages/80/15/d749324bc19edc4ed2ff45e424d4e2722c75b35e9c5efae46fc246da8923/autopool-0.1.0-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "4e70368c9a117e84e6b1b384839a81d9", "sha256": "cb9545092aba5fb4f386d669813c5fb3f18ee363e175394a872b18510e2ce5b2" }, "downloads": -1, "filename": "autopool-0.1.0.tar.gz", "has_sig": false, "md5_digest": "4e70368c9a117e84e6b1b384839a81d9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3273, "upload_time": "2018-07-27T21:36:58", "url": "https://files.pythonhosted.org/packages/02/e8/96fad1700e09193353886fc65436c14366653021d0d74f23a4423ab83c87/autopool-0.1.0.tar.gz" } ] }