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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.

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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) $ pip install -r requirements_test.txt
(myenv) $ PYTHONHASHSEED=0 python runtests.py