{ "info": { "author": "Ondrej Bajgar", "author_email": "OBajgar@cz.ibm.com", "bugtrack_url": null, "classifiers": [ "Operating System :: OS Independent", "Programming Language :: Python" ], "description": "Functions to estimate the expected best-out-of-n (Boon) result from a set of validation and test results for a machine learning architecture. The measure is fully described in the paperBajgar, O., Kadlec, R., and Kleindienst, J. A Boo(n) for Evaluating Architecture Performance. ICML 2018.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://gitlab.com/obajgar/boon/", "keywords": "", "license": "Apache-2.0", "maintainer": "", "maintainer_email": "", "name": "boon", "package_url": "https://pypi.org/project/boon/", "platform": "", "project_url": "https://pypi.org/project/boon/", "project_urls": { "Homepage": "https://gitlab.com/obajgar/boon/" }, "release_url": "https://pypi.org/project/boon/0.1.0/", "requires_dist": [ "numpy" ], "requires_python": "", "summary": "Functions to estimate the expected best-out-of-n result from a set of validation and test results.", "version": "0.1.0" }, "last_serial": 4006892, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "e445a7bc8bbda55de8b1568831f92d4f", "sha256": "599e72b00729b662e066fc6ecbb4e584c7170d35e725078b702b43bc66ead587" }, "downloads": -1, "filename": "boon-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "e445a7bc8bbda55de8b1568831f92d4f", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 2948, "upload_time": "2018-06-27T11:08:40", "url": "https://files.pythonhosted.org/packages/5e/99/b4c1ba1c6325db0e2f28f9d3116cd405a1e2b9c67918626ce343c9e7c58a/boon-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "59428ff84d4b0414ba3ab505efed880e", "sha256": "cf63777b90a5b54d93c4280da8fdabba9cc5af0b81f08c3a873b4b28f33dc95e" }, "downloads": -1, "filename": "boon-0.1.0.tar.gz", "has_sig": false, "md5_digest": "59428ff84d4b0414ba3ab505efed880e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2914, "upload_time": "2018-06-27T11:08:41", "url": "https://files.pythonhosted.org/packages/01/7f/4ca97d2cfd053fced5543ea2c6cb9da69d89d4476cc92d104d6a5020cfbe/boon-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "e445a7bc8bbda55de8b1568831f92d4f", "sha256": "599e72b00729b662e066fc6ecbb4e584c7170d35e725078b702b43bc66ead587" }, "downloads": -1, "filename": "boon-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "e445a7bc8bbda55de8b1568831f92d4f", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 2948, "upload_time": "2018-06-27T11:08:40", "url": "https://files.pythonhosted.org/packages/5e/99/b4c1ba1c6325db0e2f28f9d3116cd405a1e2b9c67918626ce343c9e7c58a/boon-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "59428ff84d4b0414ba3ab505efed880e", "sha256": "cf63777b90a5b54d93c4280da8fdabba9cc5af0b81f08c3a873b4b28f33dc95e" }, "downloads": -1, "filename": "boon-0.1.0.tar.gz", "has_sig": false, "md5_digest": "59428ff84d4b0414ba3ab505efed880e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2914, "upload_time": "2018-06-27T11:08:41", "url": "https://files.pythonhosted.org/packages/01/7f/4ca97d2cfd053fced5543ea2c6cb9da69d89d4476cc92d104d6a5020cfbe/boon-0.1.0.tar.gz" } ] }