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            "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
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            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Mathematics",
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        "description": "=========\ndjango-ai\n=========\n\n.. image:: https://badge.fury.io/py/django-ai.svg\n    :target: https://badge.fury.io/py/django-ai\n\n.. image:: https://travis-ci.org/math-a3k/django-ai.svg?branch=master\n    :target: https://travis-ci.org/math-a3k/django-ai\n\n.. image:: https://codecov.io/gh/math-a3k/django-ai/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/math-a3k/django-ai\n\nArtificial Intelligence for Django\n==================================\n\n``django-ai`` is a collection of apps for integrating statistical models into your\nDjango project so you can implement machine learning conveniently.\n\nIt integrates several libraries and engines providing your Django app with a set of \ntools so you can leverage the data generated in your project. \n\n.. image:: http://django-ai.readthedocs.io/en/latest/_images/django_ai.jpg\n    :target: https://django-ai.readthedocs.io/en/latest/introduction.html\n\nDocumentation\n-------------\n\nThe full documentation is at https://django-ai.readthedocs.io or the `/docs` directory for offline reading.\n\nFeatures\n--------\n\n* `Bayesian Networks <https://django-ai.readthedocs.io/en/latest/apps/bayesian_networks.html    >`_: Integrate Bayesian Networks through your models using the `BayesPy framework <http://bayespy.org/>`_.\n* `Spam Filtering <https://django-ai.readthedocs.io/en/latest/apps/spam_filtering.html>`_: Integrate Spam Filters to your Django project using the `scikit-learn framework <http://scikit-learn.org>`_.\n\n* Bayesian Networks: Integrate Bayesian Networks through your models using the `BayesPy framework <http://bayespy.org/>`_.\n\nSee the `Introduction <https://django-ai.readthedocs.io/en/latest/introduction.html>`_ section in the documentation for more information.\n\nCommunication Channels\n----------------------\n\n* Mailing List: django-ai@googlegroups.com\n* Chat: https://gitter.im/django-ai/django-ai\n* GitHub: https://github.com/math-a3k/django-ai/issues\n* Stack-Overflow: https://stackoverflow.com/questions/tagged/django-ai\n* AI Stack Exchange: https://ai.stackexchange.com/questions/tagged/django-ai\n\nQuickstart\n----------\n\nThe easiest way of trying `django-ai` is inside its package:\n\n1. Create a virtual environment and activate it::\n\n    python3 -m venv django-ai_env\n    source django-ai_env/bin/activate\n\n2. Upgrade ``pip`` and install ``django-ai``::\n\n    (django-ai_env) pip install --upgrade pip\n    (django-ai_env) pip install django-ai\n\n3. Change into the `django-ai` directory, i.e.::\n\n    (django-ai_env) cd django-ai_env/lib/python3.5/site-packages/django_ai\n\n4. Create the migrations for the dependencies and apply them::\n\n    python manage.py makemigrations\n    python manage.py migrate\n\n5. Create a superuser::\n\n    python manage.py createsuperuser\n\n6. Start the development server and visit http://127.0.0.1:8000/admin/, look at the examples and start creating your statistical models::\n\n    python manage.py runserver\n\nYou can also clone it from the repository and install the requirements in a virtualenv::\n\n    git clone git@github.com:math-a3k/django-ai.git\n\nand following the previous steps, install the requirements - ``pip install -r requirements.txt`` - in a virtual environment instead of the package.\n\nFor installing it in your project, please refer `here <https://django-ai.readthedocs.io/en/latest/installation.html>`_.\n\n\nRunning Tests\n-------------\n\nDoes the code actually work?\n\n::\n\n    source <YOURVIRTUALENV>/bin/activate\n    (myenv) $ pip install -r requirements_test.txt\n    (myenv) $ PYTHONHASHSEED=0 python runtests.py\n\n\n",
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