how to export trained azure ml model to production environment

Dhineshkumar 1 Reputation point
2022-06-26T13:25:28.277+00:00

How we can copying trained azure ml model from dev environment to production. Its possible to use trained model from one resource group to another resource group with same trained data.

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. romungi-MSFT 48,541 Reputation points Microsoft Employee
    2022-06-27T11:04:35.717+00:00

    @Dhineshkumar Currently, Azure ML supports mlflow for model management which can be used to register and query models using the mlflow client. Stages are assigned to a model's version (instead of models) which means that a given model can have multiple versions on different stages. You can use this documentation to refer the capabilities of the mlflow client. However, the following is also a current limitation.

    Stages can only be accessed using the MLflow SDK. They don't show up in the Azure ML Studio portal and can't be retrieved using neither Azure ML SDK, Azure ML CLI, or Azure ML REST API. Creating deployment from a given model's stage is not supported by the moment.

    Moving of Azure ML workspace from one resource group to another is currently not supported.

    If an answer is helpful, please click on 130616-image.png or upvote 130671-image.png which might help other community members reading this thread.

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