ML_repository

Creating a Repository template for ML applications fulfilling SQA requirements

Overview

Creating a Repository template for ML applications fulfilling SQA requirements

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software

• Python 3.5.2+

Installing

To run the server, please execute the following from the root directory:

pip3 install -r requirements.txt
python3 -m models

and open your browser to here:

http://localhost:8080/api/v1/ui/

Your OpenAPI definition lives here:

http://localhost:8080/api/v1/openapi.json

Running the tests

To launch the integration tests, use pytest:

sudo pip install -r test-requirements.txt

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

For the versions available, see the tags on this repository.

Authors

• Pablo Calatayud

License

This project is licensed under the MIT License - see the LICENSE.md file for details