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        "author": "Mikhail Korobov",
        "author_email": "kmike84@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
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        "description": "===========\nFormasaurus\n===========\n\n.. image:: https://img.shields.io/pypi/v/Formasaurus.svg\n   :target: https://pypi.python.org/pypi/Formasaurus\n   :alt: PyPI Version\n\n.. image:: https://img.shields.io/travis/TeamHG-Memex/Formasaurus/master.svg\n   :target: http://travis-ci.org/TeamHG-Memex/Formasaurus\n   :alt: Build Status\n\n.. image:: http://codecov.io/github/TeamHG-Memex/Formasaurus/coverage.svg?branch=master\n   :target: http://codecov.io/github/TeamHG-Memex/Formasaurus?branch=master\n   :alt: Code Coverage\n\n.. image:: https://readthedocs.org/projects/formasaurus/badge/?version=latest\n   :target: http://formasaurus.readthedocs.org/en/latest/?badge=latest\n   :alt: Documentation\n\n\nFormasaurus is a Python package that tells you the type of an HTML form\nand its fields using machine learning.\n\nIt can detect if a form is a login, search, registration, password recovery,\n\"join mailing list\", contact, order form or something else, which field\nis a password field and which is a search query, etc.\n\nLicense is MIT.\n\nCheck `docs <http://formasaurus.readthedocs.org/>`_ for more.\n\n----\n\n.. image:: https://hyperiongray.s3.amazonaws.com/define-hg.svg\n\t:target: https://www.hyperiongray.com/?pk_campaign=github&pk_kwd=formasaurus\n\t:alt: define hyperiongray\n\n\nChanges\n=======\n\n0.8.1 (2018-07-02)\n------------------\n\n* Support for scikit-learn < 0.18 is dropped;\n* Formasaurus is no longer tested with Python 3.3;\n* tests are fixed to account for upstream changes; Python 3.6 build is enabled.\n\n0.8 (2016-05-24)\n----------------\n\n* more annotated data for captchas;\n* ``formasaurus init`` command which trains & caches the model.\n\n0.7.2 (2016-04-18)\n------------------\n\n* pip bug with ``pip install formasaurus[with-deps]`` is worked around;\n  it should work now as ``pip install formasaurus[with_deps]``.\n\n0.7.1 (2016-03-03)\n------------------\n\n* fixed API documentation at readthedocs.org\n\n0.7 (2016-03-03)\n----------------\n\n* more annotated data;\n* new ``form_classes`` and ``field_classes`` attributes of FormFieldClassifer;\n* more robust web page encoding detection in ``formasaurus.utils.download``;\n* bug fixes in annotation widgets;\n\n0.6 (2016-01-27)\n----------------\n\n* ``fields=False`` argument is supported in ``formasaurus.extract_forms``,\n  ``formasaurus.classify``, ``formasaurus.classify_proba`` functions and\n  in related ``FormFieldClassifier`` methods. It allows to avoid predicting\n  form field types if they are not needed.\n* ``formasaurus.classifiers.instance()`` is renamed to\n  ``formasaurus.classifiers.get_instance()``.\n* Bias is no longer regularized for form type classifier.\n\n0.5 (2015-12-19)\n----------------\n\nThis is a major backwards-incompatible release.\n\n* Formasaurus now can detect field types, not only form types;\n* API is changed - check the updated documentation;\n* there are more form types detected;\n* evaluation setup is improved;\n* annotation UI is rewritten using IPython widgets;\n* more training data is added.\n\n0.2 (2015-08-10)\n----------------\n\n* Python 3 support;\n* fixed model auto-creation.\n\n0.1 (2015-07-09)\n----------------\n\nInitial release.\n",
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