{
    "info": {
        "author": "tulloch@fb.com",
        "author_email": "tulloch@fb.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development"
        ],
        "description": "``fbpca`` - Functions for principal component analysis (PCA)\n============================================================\n\nRequirements\n------------\n\n- `numpy>=1.9`\n- `scipy>=0.14`\n\nInstallation\n------------\n\n::\n\n    pip install fbpca\n\nLicense\n-------\n\nThe license is BSD, with an additional grant of patent rights.\n\nRelated software\n----------------\n\nA closely related Matlab/Octave implementation is available at\nhttp://tygert.com/software.html with benchmarking reported at\nhttp://tygert.com/implement.pdf",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://www.facebook.com",
        "keywords": null,
        "license": "BSD License",
        "maintainer": null,
        "maintainer_email": null,
        "name": "fbpca",
        "package_url": "https://pypi.org/project/fbpca/",
        "platform": "Any",
        "project_url": "https://pypi.org/project/fbpca/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "https://www.facebook.com"
        },
        "release_url": "https://pypi.org/project/fbpca/1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Fast computations of PCA/SVD/eigendecompositions via randomized methods",
        "version": "1.0"
    },
    "last_serial": 1337593,
    "releases": {
        "1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "c9abd9b4168f150c78c525190ea74056",
                    "sha256": "1a06e770fb618a29f0ab57077dffa36e4501e7b339220bed2e7e712f3934b00e"
                },
                "downloads": -1,
                "filename": "fbpca-1.0.macosx-10.9-x86_64.exe",
                "has_sig": false,
                "md5_digest": "c9abd9b4168f150c78c525190ea74056",
                "packagetype": "bdist_wininst",
                "python_version": "any",
                "requires_python": null,
                "size": 73955,
                "upload_time": "2014-12-09T21:25:41",
                "url": "https://files.pythonhosted.org/packages/81/6e/6db5dd4e41f5ef9ae111bcad7825f6c2312df7f6257ecc618df0e26b50d4/fbpca-1.0.macosx-10.9-x86_64.exe"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "8312632180ca9853201400914a75d5e4",
                    "sha256": "150677642479663f317fdbb5e06dab3f98721cf7031bb4a84113d7a631c472d1"
                },
                "downloads": -1,
                "filename": "fbpca-1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "8312632180ca9853201400914a75d5e4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 11758,
                "upload_time": "2014-12-09T21:25:39",
                "url": "https://files.pythonhosted.org/packages/a7/a5/2085d0645a4bb4f0b606251b0b7466c61326e4a471d445c1c3761a2d07bc/fbpca-1.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "c9abd9b4168f150c78c525190ea74056",
                "sha256": "1a06e770fb618a29f0ab57077dffa36e4501e7b339220bed2e7e712f3934b00e"
            },
            "downloads": -1,
            "filename": "fbpca-1.0.macosx-10.9-x86_64.exe",
            "has_sig": false,
            "md5_digest": "c9abd9b4168f150c78c525190ea74056",
            "packagetype": "bdist_wininst",
            "python_version": "any",
            "requires_python": null,
            "size": 73955,
            "upload_time": "2014-12-09T21:25:41",
            "url": "https://files.pythonhosted.org/packages/81/6e/6db5dd4e41f5ef9ae111bcad7825f6c2312df7f6257ecc618df0e26b50d4/fbpca-1.0.macosx-10.9-x86_64.exe"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "8312632180ca9853201400914a75d5e4",
                "sha256": "150677642479663f317fdbb5e06dab3f98721cf7031bb4a84113d7a631c472d1"
            },
            "downloads": -1,
            "filename": "fbpca-1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "8312632180ca9853201400914a75d5e4",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 11758,
            "upload_time": "2014-12-09T21:25:39",
            "url": "https://files.pythonhosted.org/packages/a7/a5/2085d0645a4bb4f0b606251b0b7466c61326e4a471d445c1c3761a2d07bc/fbpca-1.0.tar.gz"
        }
    ]
}