django-ai 0.0.2.1

=========
django-ai
=========

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Artificial Intelligence for Django
==================================

``django-ai`` is a collection of apps for integrating statistical models into your
Django project so you can implement machine learning conveniently.

It integrates several libraries and engines providing your Django app with a set of
tools 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.html

Documentation
-------------

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-ai

Quickstart
----------

The easiest way of trying `django-ai` is inside its package:

1. Create a virtual environment and activate it::

python3 -m venv django-ai_env
source django-ai_env/bin/activate

2. Upgrade ``pip`` and install ``django-ai``::

(django-ai_env) pip install --upgrade pip
(django-ai_env) pip install django-ai

3. Change into the `django-ai` directory, i.e.::

(django-ai_env) cd django-ai_env/lib/python3.5/site-packages/django_ai

4. Create the migrations for the dependencies and apply them::

python manage.py makemigrations
python manage.py migrate

5. Create a superuser::

python manage.py createsuperuser

6. 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 runserver

You can also clone it from the repository and install the requirements in a virtualenv::

git clone git@github.com:math-a3k/django-ai.git

and 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) $pipinstall-rrequirement{s}_{t}est.txt(myenv)$ PYTHONHASHSEED=0 python runtests.py