{
    "info": {
        "author": "Evan Dempsey",
        "author_email": "me@evandempsey.io",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: ISC License (ISCL)",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
        ],
        "description": "===============================\r\nFP-Growth\r\n===============================\r\n\r\n.. image:: https://img.shields.io/pypi/v/pyfpgrowth.svg\r\n        :target: https://pypi.python.org/pypi/pyfpgrowth\r\n\r\n.. image:: https://img.shields.io/travis/evandempsey/fp-growth.svg\r\n        :target: https://travis-ci.org/evandempsey/fp-growth\r\n\r\n.. image:: https://readthedocs.org/projects/fp-growth/badge/?version=latest\r\n        :target: https://readthedocs.org/projects/fp-growth/?badge=latest\r\n        :alt: Documentation Status\r\n\r\n\r\nA Python implementation of the Frequent Pattern Growth algorithm.\r\n\r\n* Free software: ISC license\r\n* Documentation: https://fp-growth.readthedocs.org.\r\n\r\nGetting Started\r\n---------------\r\n\r\nYou can install the package with pip::\r\n\r\n    pip install pyfpgrowth\r\n\r\nThen, to use it in a project, inport it and use the find_frequent_patterns and generate_association_rules functions::\r\n\r\n    import pyfpgrowth\r\n\r\nIt is assumed that your transactions are a sequence of sequences representing items in baskets. The item IDs are integers::\r\n\r\n    transactions = [[1, 2, 5],\r\n                    [2, 4],\r\n                    [2, 3],\r\n                    [1, 2, 4],\r\n                    [1, 3],\r\n                    [2, 3],\r\n                    [1, 3],\r\n                    [1, 2, 3, 5],\r\n                    [1, 2, 3]]\r\n\r\nUse find_frequent_patterns to find patterns in baskets that occur over the support threshold::\r\n\r\n    patterns = pyfpgrowth.find_frequent_patterns(transactions, 2)\r\n\r\nUse generate_association_rules to find patterns that are associated with another with a certain minimum probability::\r\n\r\n    rules = pyfpgrowth.generate_association_rules(patterns, 0.7)\r\n\r\nCredits\r\n---------\r\n\r\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\r\n\r\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\r\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\r\n\r\n\r\n=======\r\nHistory\r\n=======\r\n\r\n1.0 (2016-04-25)\r\n------------------\r\n\r\n* First release on PyPI.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/evandempsey/fp-growth",
        "keywords": "pyfpgrowth",
        "license": "ISCL",
        "maintainer": "",
        "maintainer_email": "",
        "name": "pyfpgrowth",
        "package_url": "https://pypi.org/project/pyfpgrowth/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/pyfpgrowth/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "https://github.com/evandempsey/fp-growth"
        },
        "release_url": "https://pypi.org/project/pyfpgrowth/1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "A Python implementation of the Frequent Pattern Growth algorithm.",
        "version": "1.0"
    },
    "last_serial": 2086906,
    "releases": {
        "1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "44ceef99e55f3d8e4dd3b695b004c9bf",
                    "sha256": "a3e5780385241d90d3ae5cabcca767eb65427b0a908014d42164b3ea8899f1d0"
                },
                "downloads": -1,
                "filename": "pyfpgrowth-1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "44ceef99e55f3d8e4dd3b695b004c9bf",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1641375,
                "upload_time": "2016-04-27T13:41:13",
                "url": "https://files.pythonhosted.org/packages/d2/4c/8b7cd90b4118ff0286d6584909b99e1ca5642bdc9072fa5a8dd361c864a0/pyfpgrowth-1.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "44ceef99e55f3d8e4dd3b695b004c9bf",
                "sha256": "a3e5780385241d90d3ae5cabcca767eb65427b0a908014d42164b3ea8899f1d0"
            },
            "downloads": -1,
            "filename": "pyfpgrowth-1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "44ceef99e55f3d8e4dd3b695b004c9bf",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1641375,
            "upload_time": "2016-04-27T13:41:13",
            "url": "https://files.pythonhosted.org/packages/d2/4c/8b7cd90b4118ff0286d6584909b99e1ca5642bdc9072fa5a8dd361c864a0/pyfpgrowth-1.0.tar.gz"
        }
    ]
}