Package: django-ai
=========django-ai=========.. image:: https://badge.fury.io/py/django-ai.svg:target: https://badge.fury.io/py/django-ai.. image:: https://travis-ci.org/math-a3k/django-ai.svg?branch=master:target: https://travis-ci.org/math-a3k/django-ai.. image:: https://codecov.io/gh/math-a3k/django-ai/branch/master/graph/badge.svg:target: https://codecov.io/gh/math-a3k/django-aiArtificial Intelligence for Django==================================``django-ai`` is a collection of apps for integrating statistical models into yourDjango project so you can implement machine learning conveniently.It integrates several libraries and engines providing your Django app with a set oftools so you can leverage the data generated in your project... image:: http://django-ai.readthedocs.io/en/latest/_images/django_ai.jpg:target: https://django-ai.readthedocs.io/en/latest/introduction.htmlDocumentation-------------The full documentation is at https://django-ai.readthedocs.io or the `/docs` directory for offline reading.Features--------* `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/>`_.* `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>`_.* Bayesian Networks: Integrate Bayesian Networks through your models using the `BayesPy framework <http://bayespy.org/>`_.See the `Introduction <https://django-ai.readthedocs.io/en/latest/introduction.html>`_ section in the documentation for more information.Communication Channels----------------------* Mailing List: django-ai@googlegroups.com* Chat: https://gitter.im/django-ai/django-ai* GitHub: https://github.com/math-a3k/django-ai/issues* Stack-Overflow: https://stackoverflow.com/questions/tagged/django-ai* AI Stack Exchange: https://ai.stackexchange.com/questions/tagged/django-aiQuickstart----------The easiest way of trying `django-ai` is inside its package:1. Create a virtual environment and activate it::python3 -m venv django-ai_envsource django-ai_env/bin/activate2. Upgrade ``pip`` and install ``django-ai``::(django-ai_env) pip install --upgrade pip(django-ai_env) pip install django-ai3. Change into the `django-ai` directory, i.e.::(django-ai_env) cd django-ai_env/lib/python3.5/site-packages/django_ai4. Create the migrations for the dependencies and apply them::python manage.py makemigrationspython manage.py migrate5. Create a superuser::python manage.py createsuperuser6. Start the development server and visit http://127.0.0.1:8000/admin/, look at the examples and start creating your statistical models::python manage.py runserverYou can also clone it from the repository and install the requirements in a virtualenv::git clone git@github.com:math-a3k/django-ai.gitand following the previous steps, install the requirements - ``pip install -r requirements.txt`` - in a virtual environment instead of the package.For installing it in your project, please refer `here <https://django-ai.readthedocs.io/en/latest/installation.html>`_.Running Tests-------------Does the code actually work?::source <YOURVIRTUALENV>/bin/activate(myenv) $ pip install -r requirements_test.txt(myenv) $ PYTHONHASHSEED=0 python runtests.py