{
    "info": {
        "author": "Christian Thurau",
        "author_email": "cthurau@googlemail.com",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "Matrix Factorization Methods for Python (pymf)\r\n==============================================\r\n\r\nWhat is PyMF?\r\n-------------\r\n\r\nPython Matrix Factorization (PyMF) is a module for several constrained/unconstrained \r\nmatrix factorization (and related) methods. The module is early alpha and not very well \r\ntested.\r\n\r\nPyMF currently includes the following methods:\r\n\r\n    * Non-negative matrix factorization (NMF)\r\n    * Convex non-negative matrix factorization (CNMF)\r\n    * Semi non-negative matrix factorization (SNMF)\r\n    * Archetypal analysis (AA)\r\n    * Simplex volume maximization (SiVM)\r\n    * Convex-hull non-negative matrix factorization (CHNMF)\r\n    * Binary matrix factorization (BNMF)\r\n    * Singular value decomposition (SVD)\r\n    * Principal component analysis (PCA)\r\n    * K-means clustering (Kmeans)\r\n    * CUR decomposition (CUR)\r\n    * Compaxt matrix decomposition (CMD) \r\n\r\nWhere to get it\r\n---------------\r\n\r\n* Main website, documentation:  http://pymf.googlecode.com\r\n* Contact email: cthurau at googlemail.com\r\n\r\n\r\nRequires\r\n--------\r\n\r\n* Linux, Mac OS-X or Windows\r\n* Python 2.5 or 2.6\r\n* NumPy, Cvxopt, Scipy",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://code.google.com/p/pymf/",
        "keywords": null,
        "license": "OSI Approved :: GNU General Public License (GPL)",
        "maintainer": null,
        "maintainer_email": null,
        "name": "PyMF",
        "package_url": "https://pypi.org/project/PyMF/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/PyMF/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "http://code.google.com/p/pymf/"
        },
        "release_url": "https://pypi.org/project/PyMF/0.2/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Python Matrix Factorization Module",
        "version": "0.2"
    },
    "last_serial": 785316,
    "releases": {
        "0.1.9": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "79ba4f90fe2ffc33cc74e1ca1e954496",
                    "sha256": "273b3c75819c4c8e864a9429c178f6c6af4a8e8abaa22caf3c0e65fb16e667c6"
                },
                "downloads": -1,
                "filename": "PyMF-0.1.9.linux-x86_64.exe",
                "has_sig": false,
                "md5_digest": "79ba4f90fe2ffc33cc74e1ca1e954496",
                "packagetype": "bdist_wininst",
                "python_version": "any",
                "requires_python": null,
                "size": 111147,
                "upload_time": "2011-04-28T13:41:21",
                "url": "https://files.pythonhosted.org/packages/8b/a6/9f54079eaab475387db497aa73f154f75f9b67956e6f06d0f7d2ed99c561/PyMF-0.1.9.linux-x86_64.exe"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "b14a54e387259e0c9fe76861ebd3f561",
                    "sha256": "cf3326f16e097ef9c8003cef3be930c47efff6f8381a71533f538b048bc3ff45"
                },
                "downloads": -1,
                "filename": "PyMF-0.1.9-py2.6.egg",
                "has_sig": false,
                "md5_digest": "b14a54e387259e0c9fe76861ebd3f561",
                "packagetype": "bdist_egg",
                "python_version": "2.6",
                "requires_python": null,
                "size": 102536,
                "upload_time": "2011-04-28T13:59:23",
                "url": "https://files.pythonhosted.org/packages/59/50/30f2afcc9ba506396fad9d880883efe2c39e74ef8e98efb892f17f9141d1/PyMF-0.1.9-py2.6.egg"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "98b50af2dc12aab62976416cf4185c2b",
                    "sha256": "0a03f078974042d770aba604e2c899be907f72868c737568326a1eb1af2643d4"
                },
                "downloads": -1,
                "filename": "PyMF-0.1.9.tar.gz",
                "has_sig": false,
                "md5_digest": "98b50af2dc12aab62976416cf4185c2b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 24369,
                "upload_time": "2011-04-28T13:41:21",
                "url": "https://files.pythonhosted.org/packages/c8/03/01bf854a642c06cae0bd6aed955123e2f769878a40ecb85a2eb290756a61/PyMF-0.1.9.tar.gz"
            }
        ],
        "0.2": []
    },
    "urls": []
}