Azure / Azure/azureml-examples
pipeline component not updating or creating a new version in the registry.
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Description
### Operating System
Linux
### Version Information
latest azure python sdk for python 3.7
### Steps to reproduce
If I create a pipeline with the decorator and deploy it to a batch endpoint, Azure ML will automatically create a pipeline component in the registry. Sounds great right? Not so much if you want to CHANGE such a pipeline. Suppose I change my pipeline but keep the same name. The new pipeline will test ok, but when I attempt to update the batch endpoint the modifications are not being put in place!
Workaround: Create everything new with new names (pipeline, endpoint, and deployment).
Also, there is no way to delete the pipeline component from the ML studio. That feature should exist since we can delete the endpoint and deployments.
Thanks
Arthur
### Expected behavior
It is expected that a new version of the pipeline component will be created in the registry.
### Actual behavior
The pipeline component is not updated.
### Addition information
_No response_
Contributor guide
Research direction
No repository file, test, or entry point is identified in the report. Start by reproducing the decorator-based pipeline deployment to a batch endpoint with the Azure Python SDK, then compare registry behavior after changing the pipeline while keeping its name; done means the changed pipeline is deployed as a new registry version and the deletion behavior is clarified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100