{ "info": { "author": "Ruben Martinez-Cantin", "author_email": "rmcantin@unizar.es", "bugtrack_url": null, "classifiers": [], "description": "UNKNOWN\r\n\r\n\r\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/rmcantin/bayesopt", "keywords": "", "license": "AGPL>=3.0", "maintainer": "", "maintainer_email": "", "name": "bayesopt", "package_url": "https://pypi.org/project/bayesopt/", "platform": "", "project_url": "https://pypi.org/project/bayesopt/", "project_urls": { "Homepage": "https://github.com/rmcantin/bayesopt" }, "release_url": "https://pypi.org/project/bayesopt/0.3/", "requires_dist": null, "requires_python": "", "summary": "BayesOpt is an efficient implementation of the Bayesian optimization methodology for nonlinear optimization, experimental design and hyperparameter tuning", "version": "0.3" }, "last_serial": 2990868, "releases": { "0.2": [ { "comment_text": "", "digests": { "md5": "abfa0a2f2e323d2bec29b941b2fb6d5c", "sha256": "d778c443fd0c1093d77af71fed49fe9db2a87b8a81f55be09f7dd028c70e1b03" }, "downloads": -1, "filename": "bayesopt-0.2-cp27-cp27m-win32.whl", "has_sig": false, "md5_digest": "abfa0a2f2e323d2bec29b941b2fb6d5c", "packagetype": "bdist_wheel", "python_version": "cp27", "requires_python": null, "size": 508432, "upload_time": "2017-03-20T21:06:53", "url": "https://files.pythonhosted.org/packages/9f/aa/e49ea1ce58e38c73dd9fb3a5108bf6e56a8e31335a26f31384908065d49c/bayesopt-0.2-cp27-cp27m-win32.whl" } ], "0.3": [ { "comment_text": "", "digests": { "md5": "01cf4e67c4eef8390beff309360c935c", "sha256": "9d35e341d7145a29590a51c895ee889399fd8c9d62b39acebdf73b8df6caea9f" }, "downloads": -1, "filename": "bayesopt-0.3-cp27-cp27m-win32.whl", "has_sig": false, "md5_digest": "01cf4e67c4eef8390beff309360c935c", "packagetype": "bdist_wheel", "python_version": "cp27", "requires_python": null, "size": 421278, "upload_time": "2017-06-30T20:51:16", "url": "https://files.pythonhosted.org/packages/bd/a3/ea10c30e4b8276a0c0e11e6ef6fb9f42b72d974f2938ddd91e2dd40ea0a4/bayesopt-0.3-cp27-cp27m-win32.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "01cf4e67c4eef8390beff309360c935c", "sha256": "9d35e341d7145a29590a51c895ee889399fd8c9d62b39acebdf73b8df6caea9f" }, "downloads": -1, "filename": "bayesopt-0.3-cp27-cp27m-win32.whl", "has_sig": false, "md5_digest": "01cf4e67c4eef8390beff309360c935c", "packagetype": "bdist_wheel", "python_version": "cp27", "requires_python": null, "size": 421278, "upload_time": "2017-06-30T20:51:16", "url": "https://files.pythonhosted.org/packages/bd/a3/ea10c30e4b8276a0c0e11e6ef6fb9f42b72d974f2938ddd91e2dd40ea0a4/bayesopt-0.3-cp27-cp27m-win32.whl" } ] }