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        "author_email": "ahalfaker@wikimedia.org",
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            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Text Processing :: General",
            "Topic :: Text Processing :: Linguistic",
            "Topic :: Utilities"
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        "description": "# Wikipedia article quality classification\n\nThis library provides a set of utilities for performing automatic detection of\nassessment classes of Wikipedia articles.  For more information, see the full\ndocumentation at http://pythonhosted.org/wikiclass.\n\n**Compatible with Python 3.x only.**  Sorry.\n\n* **Install:** ``pip install wikiclass``\n* **Models:** https://github.com/wikimedia/articlequality/tree/master/models\n* **Documentation:** http://pythonhosted.org/wikiclass\n\n## Basic usage\n\n    >>> import articlequality\n    >>> from revscoring import Model\n    >>>\n    >>> scorer_model = Model.load(open(\"models/enwiki.nettrom_wp10.gradient_boosting.model\", \"rb\"))\n    >>>\n    >>> text = \"I am the text of a page.  I have a <ref>word</ref>\"\n    >>> articlequality.score(scorer_model, text)\n    {'prediction': 'stub',\n     'probability': {'stub': 0.27156163795807853,\n                     'b': 0.14707452309674252,\n                     'fa': 0.16844898943510833,\n                     'c': 0.057668704007171959,\n                     'ga': 0.21617801281707663,\n                     'start': 0.13906813268582238}}\n\n## Authors\n* Aaron Halfaker -- https://github.com/halfak\n* Morten Warncke-Wang -- http://www-users.cs.umn.edu/~morten\n\n\n",
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