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            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7"
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        "description": "=================\nUser Voting Rocks\n=================\n\n\n.. image:: https://img.shields.io/pypi/v/user_voting_rocks.svg\n        :target: https://pypi.python.org/pypi/user_voting_rocks\n\n.. image:: https://img.shields.io/travis/luphord/user_voting_rocks.svg\n        :target: https://travis-ci.org/luphord/user_voting_rocks\n\n.. image:: https://readthedocs.org/projects/user-voting-rocks/badge/?version=latest\n        :target: https://user-voting-rocks.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n\n\nUse your personal talk voting for PyConDE 2019 to predict your interest in a talk.\n\n\nInstallation\n------------\n\nIn order to install the released version, use pip install:\n\n.. code-block:: console\n\n        pip install user_voting_rocks\n\nIn order to work with the current master, clone this respository, create + activate a virtual environment and then use pip install like this:\n\n.. code-block:: console\n\n        pip install -e .\n\nUsage\n-----\n\nVote for talks you are interested in using the PyConDE 2019 community voting link you have received.\nThen reload the page (using your secret link) and save as `Pycon\\ Voting.html` using your browser's *Save As* dialog.\n\nTo receive recommendations, please try\n\n.. code-block:: console\n\n        user_voting_rocks recommend -i ./Pycon\\ Voting.html\n\nThis command will output the list of talks (that you have not yet voted on) by *decreasing* order of your predicted preference.\n\nFull command line interface:\n\n.. code-block:: console\n\n        Usage: user_voting_rocks [OPTIONS] COMMAND [ARGS]...\n\n        Commandline interface for user_voting_rocks.\n\n        Options:\n        --help  Show this message and exit.\n\n        Commands:\n        evaluate   Evaluate the talk voting classifier.\n        parse      Parse talk voting html file.\n        predict    Predict your interest in a single or multiple talks.\n        recommend  Parse html, train model and predict unvoted talks.\n        train      Train a model user your talk voting.\n\n\n* Free software: MIT license\n* Documentation: https://user-voting-rocks.readthedocs.io.\n\n\nFeatures\n--------\n\n* Parse PyConDE 2019 community voting HTML page to JSON\n* Train a Naive Bayes classifier on word frequencies of abstracts\n* Custom stop word list\n* Predict interest in a talk using the trained Naive Bayes classifier\n* CLI for parsing, training and predicting with persistence for parsed content and model\n\nCredits\n-------\n\nMain author and project maintainer is luphord_.\n\nThis package was prepared with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _luphord: https://github.com/luphord\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.3.2 (2019-07-02)\n------------------\n\n* Use print instead of click.echo to circumvent encoding issues on Windows\n\n0.3.1 (2019-07-02)\n------------------\n\n* Fix encoding issue\n\n0.3.0 (2019-07-02)\n------------------\n\n* Refactor module structure\n\n0.2.0 (2019-07-01)\n------------------\n\n* *recommend* subcommand to perform parsing, training and prediction in a single step\n* *evaluate* subcommand to perform cross validation\n* Basic usage documentation\n\n0.1.0 (2019-06-28)\n------------------\n\n* First release on PyPI.\n\n\n",
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