How to use an existing machine learning model with Azure Machine Learning?

1
votes

I have a Keras ML model .h5 file that I would like to publish as a web-service. This model was created in databricks. I want to use Azure ML for this purpose. I am following the steps given in this Azure documentation - https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-existing-model

One of the prerequisites is to have "Azure Machine Learning SDK".

My question is how to install "Azure Machine Learning SDK" in my Azure ml workspace? Do I need to type the commands in the Cloud Shell?

Any pointer would be helpful. Thanks.

1
azuremachine-learningazure-machine-learning-service

1 Answers

1
votes

If you are running in your own environment, follow SDK installation instructions. If you are running in Azure Notebooks or another Microsoft managed environment, the SDK is already installed.

An Azure Machine Learning workspace. To create the workspace, see Create an Azure Machine Learning workspace. A workspace is all you need to get started with your own cloud-based notebook server, a DSVM, or Azure Databricks.