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Azure / mlops-v2

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
MIT License
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How to achieve Continuous Integration #36

Closed MurugeswariMuthurajan closed 1 year ago

MurugeswariMuthurajan commented 2 years ago

Hi,

As per the process, we are training the and registering the model in DEV Workspace. But how to bring/ deploy that model in Stage.

It would be better if we have the steps between registering the model in dev workspace and deploy in Stage Workspace

setuc commented 1 year ago

Hi @MurugeswariMuthurajan Are you referring to the moving the models across different workspaces?

MurugeswariMuthurajan commented 1 year ago

Hi @setuc

Yes, Regarding moving the models across workspaces

Currently we have achieved that using release pipeline in Azure Devops [ Steps In Release Pipeline : Downloaded the model from dev, registered in test and deployed in test]

But we need to confirm whether it is a right approach or have to do something with training pipeline

Thanks

setuc commented 1 year ago

Yes. The approach that you have taken is absolutely correct. You can use download/upload/register the model for now.

As Azure ML evolves, we will continue to update the approaches. So keep a watch out for new updates.

Setu

MurugeswariMuthurajan commented 1 year ago

Yes. The approach that you have taken is absolutely correct. You can use download/upload/register the model for now.

As Azure ML evolves, we will continue to update the approaches. So keep a watch out for new updates.

Setu

Thanks for the confirmation