.. github repository.. RapidML documentation master file, created by
   sphinx-quickstart on Thu Jun 21 17:36:50 2018.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

Welcome to RapidML's documentation!
===================================

.. figure:: logo.png
    :align: center

Getting started is as easy as ``pip install RapidML``

GitHub Repository: https://github.com/ritabratamaiti/RapidML

.. figure:: demovid.gif

What is **RapidML**?

Well, RapidML is your Smart Machine Learning assistant that not only automates the creation of machine learning models but also enables you to easily deploy the models to the cloud.

.. figure:: RapidMLChart1.png
    :scale: 12%

    (Click to enlarge)


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RapidML is perfect for Python programmers at all levels, ranging from beginners who want to get into Data Science and Machine Learning to intermediate and advanced programmers who want to bring Machine Learning to consumer and industry usage applications.

Apart from making predictions in Python, RapidML models can be exported as Web APIs to develop Machine Learning applications in a wide variety of platforms, such as Javascript, Android, iOS.... **and almost everything else which can make and receive web requests**!


.. toctree::
   :maxdepth: 5
   :caption: Contents:
	
   install
   Using RapidML
   RapidML API
   Examples
   support
   Contributing

Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`