Thunderstorm nowcast based on radar data (for agrometeorology)


Published by DEEP-Hybrid-DataCloud Consortium
Created: - Updated:

Model Description

Build Status

ai4eosc_thunder_nowcast_ml is an application using the DEEPaaS API.

Write additional information for your users (how to predict, how to retrain, dataset description, training description, etc).

Test this module

You can test and execute this module in various ways.

Excecute locally on your computer using Docker

You can run this module directly on your computer, assuming that you have Docker installed, by following these steps:

$ docker pull microstep/deep-oc-ai4eosc_thunder_nowcast_ml
$ docker run -ti -p 5000:5000 microstep/deep-oc-ai4eosc_thunder_nowcast_ml

Execute on your computer using udocker

If you do not have Docker available or you do not want to install it, you can use udocker within a Python virtualenv:

$ virtualenv udocker
$ source udocker/bin/activate
(udocker) $ pip install udocker
(udocker) $ udocker pull microstep/deep-oc-ai4eosc_thunder_nowcast_ml
(udocker) $ udocker create microstep/deep-oc-ai4eosc_thunder_nowcast_ml
(udocker) $ udocker run -p 5000:5000  microstep/deep-oc-ai4eosc_thunder_nowcast_ml

In either case, once the module is running, point your browser to and you will see the API documentation, where you can test the module functionality, as well as perform other actions (such as training).

For more information, refer to the user documentation.


docker, api-v2


License: MIT

Get the code

Github Docker Hub