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Artificial Intelligence for Django

Project description

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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.

/django_ai.jpg

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 git@github.com: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 tox
(myenv) $ tox

Credits

Tools used in rendering this package:

History

0.0.1 (2017-08-31)

  • First release on PyPI.

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