Metadata-Version: 1.1
Name: django-ai
Version: 0.0.2
Summary: Artificial Intelligence for Django
Home-page: https://github.com/math-a3k/django-ai
Author: Rodrigo Gadea
Author-email: matematica.a3k@gmail.com
License: LGPLv3
Description: =========
        django-ai
        =========
        
        .. image:: https://badge.fury.io/py/django-ai.svg
            :target: https://badge.fury.io/py/django-ai
        
        .. image:: https://travis-ci.org/math-a3k/django-ai.svg?branch=master
            :target: https://travis-ci.org/math-a3k/django-ai
        
        .. image:: https://codecov.io/gh/math-a3k/django-ai/branch/master/graph/badge.svg
            :target: https://codecov.io/gh/math-a3k/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. 
        
        .. image:: http://django-ai.readthedocs.io/en/latest/_images/django_ai.jpg
            :target: https://django-ai.readthedocs.io/en/latest/introduction.html
        
        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
        
Keywords: django-ai
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: Django
Classifier: Framework :: Django :: 1.11
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
