{ "info": { "author": "Stefan Falkner and Christina Hernandez Wunsch. Legacy branch: Tobias Domhan, Aaron Klein and Frank Hutter (FANOVA)", "author_email": "sfalkner@cs.uni-freiburg.de", "bugtrack_url": null, "classifiers": [], "description": "", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://automl.org/fanova", "keywords": "hyperparameter parameter optimization bayesian smac global variance analysis", "license": "FANOVA is free for academic & non-commercial usage. Please contact Frank Hutter(fh@informatik.uni-freiburg.de) to discuss obtaining a license for commercial purposes.", "maintainer": "", "maintainer_email": "", "name": "fanova", "package_url": "https://pypi.org/project/fanova/", "platform": "", "project_url": "https://pypi.org/project/fanova/", "project_urls": { "Homepage": "http://automl.org/fanova" }, "release_url": "https://pypi.org/project/fanova/2.0.13/", "requires_dist": null, "requires_python": "", "summary": "Functional ANOVA: an implementation of the ICML 2014 paper 'An Efficient Approach for Assessing Hyperparameter Importance' by Frank Hutter, Holger Hoos and Kevin Leyton-Brown.", "version": "2.0.13" }, "last_serial": 5033732, "releases": { "2.0.11": [ { "comment_text": "", "digests": { "md5": "ca06646d69d260bf5cade050f2b9a754", "sha256": "79ff361d06a34b5632dfcc50b94d933dd9ecfe8d7e4f4b2ff7db96abc66d859b" }, "downloads": -1, "filename": "fanova-2.0.11.tar.gz", "has_sig": false, "md5_digest": "ca06646d69d260bf5cade050f2b9a754", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9537, "upload_time": "2018-11-07T16:08:13", "url": "https://files.pythonhosted.org/packages/f3/12/f695ea992d4670e32ec96065e764dd733eed0194ed1d6a08aa171da669c5/fanova-2.0.11.tar.gz" } ], "2.0.12": [ { "comment_text": "", "digests": { "md5": "241a7c63167939e22f3c75efa84cacf8", "sha256": "95377d00f7f60b6641a65970ea63cddd22a472ec65ed707f7802abefac1db461" }, "downloads": -1, "filename": "fanova-2.0.12.tar.gz", "has_sig": false, "md5_digest": "241a7c63167939e22f3c75efa84cacf8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10241, "upload_time": "2019-03-26T17:11:10", "url": "https://files.pythonhosted.org/packages/3a/43/e326b36816d5a6f07cff23cc295dc047062a0f529107c10d23f1cf166d26/fanova-2.0.12.tar.gz" } ], "2.0.13": [ { "comment_text": "", "digests": { "md5": "348e1b5014456c7ab363ee8d90d3a84b", "sha256": "088f6c5bc2733fac7e6614846b8be0141891818cb9e288c6337101a28e8835ca" }, "downloads": -1, "filename": "fanova-2.0.13.tar.gz", "has_sig": false, "md5_digest": "348e1b5014456c7ab363ee8d90d3a84b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10319, "upload_time": "2019-04-01T16:43:16", "url": "https://files.pythonhosted.org/packages/53/c0/5403a7957e622bb2da2e240e8c168a984b40412d6fd0d5dbb28beccee343/fanova-2.0.13.tar.gz" } ], "2.0.3": [ { "comment_text": "", "digests": { "md5": "0f8d0cb13192fad0189448935c81e02b", "sha256": "413533bb561230d828bae10c04a511ad1b5f973916f44240c390cd1b3d39a88f" }, "downloads": -1, "filename": "fanova-2.0.3.tar.gz", "has_sig": false, "md5_digest": "0f8d0cb13192fad0189448935c81e02b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9152, "upload_time": "2018-03-29T13:50:04", "url": "https://files.pythonhosted.org/packages/c8/9e/048ad7cb9d499605220b38e5ff9c57d3ec0eb69fcea5e7a32449ca969175/fanova-2.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "348e1b5014456c7ab363ee8d90d3a84b", "sha256": "088f6c5bc2733fac7e6614846b8be0141891818cb9e288c6337101a28e8835ca" }, "downloads": -1, "filename": "fanova-2.0.13.tar.gz", "has_sig": false, "md5_digest": "348e1b5014456c7ab363ee8d90d3a84b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10319, "upload_time": "2019-04-01T16:43:16", "url": "https://files.pythonhosted.org/packages/53/c0/5403a7957e622bb2da2e240e8c168a984b40412d6fd0d5dbb28beccee343/fanova-2.0.13.tar.gz" } ] }