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.

The full documentation is at https://django-ai.readthedocs.io or the /docs directory for offline reading.

• Bayesian Networks: Integrate Bayesian Networks through your models using the BayesPy framework.
• Spam Filtering: Integrate Spam Filters to your Django project using the scikit-learn framework.

See the Introduction section in the documentation for more information.

• 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

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.

Does the code actually work?

source <YOURVIRTUALENV>/bin/activate
(myenv) $ pip install -r requirements_test.txt
(myenv) $ PYTHONHASHSEED=0 python runtests.py