deploy-ml

This open source library is esentually a wrapper for popular machine learning libraries. It streamlines, and simplifies the training and deployment of algrithms. Right now the library is in its infancy. We are working to get the core functionality up and running in order to be tested at Imperial College London.

Setup

We are going to register with pip but to use it right now, clone the repo onto your machine. Access the repo via your terminal and type the following:

python3 setup.py install

You should be good to go from there.

Examples

You can find a simple example for each module under the folder examples/[MODULE-NAME]

Documentation

You can find documentation for each module on how to train, test and package machine learning in the README file.

Getting Involved

As this is still a very new project, we have enabled bug reporting and feature requesting. Also if you're good at python or doing research please let us know and get involved in the development.

Dependancies

Modules are activated seperately meaning that you don't have to have everything. However, you will have to have the sk-learn library as this is used a lot for the data processing in pretty much all the models. Keras and Tensorflow are only needed if you activate