[CLOSED] User story - make ML model deployable

ERNI-CoP-IoT / dust-measurement-network

Dust Measurement Network - air pollution data measurement

https://dmn.azurewebsites.net/

MIT License

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[CLOSED] User story - make ML model deployable #38

Closed dniklaus closed 3 years ago

dniklaus commented 3 years ago

Issue by mareklinka Thu Aug 30 12:50:05 2018 Originally opened as https://github.com/ERNICommunity/dust-measurement-network/issues/34

Once we have a pre-trained predictive model, we need to make it deployable. For this we will make use of Flask (a python web app framework) and Docker. The docker image will then be deployed to Azure, into our Kubernetes cluster.

dniklaus commented 3 years ago

Comment by mareklinka Fri Aug 31 15:17:53 2018

Dockerfile created and tested. I just need to push it into a hub and deploy. Will contact @dorny to help with this.