django-ai

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.

The full documentation is at https://django-ai.readthedocs.io or the [/docs]{.title-ref} 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.

The easiest way of trying [django-ai]{.title-ref} is inside its package:

Create a virtual environment and activate it:

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

Upgrade pip and install django-ai:

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

Change into the [django-ai]{.title-ref} directory, i.e.:

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

Create the migrations for the dependencies and apply them:

python manage.py makemigrations
python manage.py migrate

Create a superuser:
```
python manage.py createsuperuser
```
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