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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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No deploy-model-training-pipeline.yml or other examples for Python SDK v2 #100

Open corticalstack opened 1 year ago

corticalstack commented 1 year ago

Describe the bug or the issue that you are facing

Hi,

Given Microst Azure is pushing for Python SDK v2 over Python SDK v1 for greenfield AML landscapes, or where teams are looking to migrate from SDK v1 to v2 to take advantage of new features like managed endpoints, there really should be a complete set of pipeline examples for Python SDK v2.

Is this coming? Thank-you very much

Steps/Code to Reproduce

As described

Expected Output

As described

Versions

As described

Which platform are you using for deploying your infrastrucutre?

Azure DevOps (ADO)

If you mentioned Others, please mention which platformm are you using?

No response

What are you using for deploying your infrastrucutre?

Terraform

Are you using Azure ML CLI v2 or Azure ML Python SDK v2

Azure ML CLI v2

Describe the example that you are trying to run?

As described

corticalstack commented 1 year ago

Just adding the cause for missing Python SDK v2 solutions in the test mlopsv2demo repo that gets created is because the default branch is not main for the existing repos imported into ADO. Despite main being the default in Github repo, main is not set as default when imported.

WiktorMadejski commented 10 months ago

Thanks a bunch @corticalstack, weird dependency on "default"'s but... instant resolution! ;)