django-ai 0.0.1b1

Artificial Intelligence for Django

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.

Documentation

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

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. Install django-ai:

   (django-ai_env) pip install django-ai

3. Change into the django-ai directory:

   (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 django_dag
   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/ to look at the examples and start creating your statistical models:

   python manage.py runserver

Or you can clone it from the repository and install the requirements in a virtualenv:

git clone [e-mail]:math-a3k/django-ai.git

and do the same steps, installing the requirements in a virtual environment from requirements.txt

For installing it in your project, please refer here.

Features

• Bayesian Networks: Integrate Bayesian Networks through your models using the BayesPy framework.

See the Overview section in the documentation for more inforation.

Running Tests

Does the code actually work?

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

Credits

Tools used in rendering this package:

• Cookiecutter

• cookiecutter-djangopackage

History

0.0.1 (2017-08-31)

• First release on PyPI.