Azure ML Deploy Model Component Fails due to unexpected model directory

Chris Lotton 0 Reputation points


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?


Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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