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If I create a pipeline wit the decorator and deeply it to a batch endpoint azure ml will create a pipeline component in the registry automatically. 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
The text was updated successfully, but these errors were encountered:
Operating System
Linux
Version Information
latest azure python sdk for python 3.7
Steps to reproduce
If I create a pipeline wit the decorator and deeply it to a batch endpoint azure ml will create a pipeline component in the registry automatically. 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
The text was updated successfully, but these errors were encountered: