Azure Machine Learning
An Azure machine learning service for building and deploying models.
3,231 questions
Azure ML Deploy Model Component Fails due to unexpected model directory
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Chris Lotton
0
Reputation points
Hello,
I am using the Azure ML designer studio to create an AutoML training pipeline as shown.
The deploy component is failing. Based on the logs it is expecting model code to be in a "mlflow_model" directory, however, the register component is placing it in a directory called "mlflow_model_folder".
How can I solve this so this pipeline will work end to end?
Thanks
{count} votes
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romungi-MSFT 48,791 Reputation points Microsoft Employee2023-11-24T04:40:46.5+00:00 @Chris Lotton Could you add the details of the document that you are following for setting up this model?
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Chris Lotton 0 Reputation points
2023-11-26T12:46:57.2066667+00:00 The issue is, there really isn't any documentation that I can find for that deploy model component.
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Chris Lotton 0 Reputation points
2023-11-26T12:47:54.1933333+00:00 If you could kindly point me to some official docs for the "Deploy Model" component that would be great @romungi-MSFT I can't seem to find any.
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romungi-MSFT 48,791 Reputation points Microsoft Employee
2023-12-06T11:17:35.6266667+00:00 @Chris Lotton For the automl deploy model scenario I don't think there is a configurable setting for placing the model in a directory. This should be the documentation for this scenario.
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