{ "info": { "author": "Henry Cook, Katya Gonina, Shoaib Kamil", "author_email": "egonina@cs.berkeley.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "Intended Audience :: Other Audience", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Software Development :: Libraries", "Topic :: Utilities" ], "description": "See http://www.armandofox.com/geek/home/sejits/ for more about SEJITS, including links to\n publications. See http://github.com/hcook/gmm/wiki for more about the GMM specializer.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/hcook/gmm/wiki/", "keywords": null, "license": "BSD", "maintainer": null, "maintainer_email": null, "name": "gmm_specializer", "package_url": "https://pypi.org/project/gmm_specializer/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/gmm_specializer/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://github.com/hcook/gmm/wiki/" }, "release_url": "https://pypi.org/project/gmm_specializer/0.1/", "requires_dist": null, "requires_python": null, "summary": "This is a SEJITS (selective embedded just-in-time specializer) for Gaussian Mixture Models, built on the ASP framework.", "version": "0.1" }, "last_serial": 792524, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "2d09de8b3c220f6d303414e09c4085af", "sha256": "895ec7ec85afb2ddc7fa3f38e227155274a70f572fde2a9caf2339a61037c995" }, "downloads": -1, "filename": "gmm_specializer-0.1.tar.gz", "has_sig": false, "md5_digest": "2d09de8b3c220f6d303414e09c4085af", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 17280, "upload_time": "2011-12-16T00:45:40", "url": "https://files.pythonhosted.org/packages/ab/02/d5b178765bb0812479bd94a251b4e7e881478d0b9b708d2925e3b2abb4c7/gmm_specializer-0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "2d09de8b3c220f6d303414e09c4085af", "sha256": "895ec7ec85afb2ddc7fa3f38e227155274a70f572fde2a9caf2339a61037c995" }, "downloads": -1, "filename": "gmm_specializer-0.1.tar.gz", "has_sig": false, "md5_digest": "2d09de8b3c220f6d303414e09c4085af", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 17280, "upload_time": "2011-12-16T00:45:40", "url": "https://files.pythonhosted.org/packages/ab/02/d5b178765bb0812479bd94a251b4e7e881478d0b9b708d2925e3b2abb4c7/gmm_specializer-0.1.tar.gz" } ] }