Register and Deploy Models with Model Registry
With the SageMaker model registry you can do the following:
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Catalog models for production.
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Manage model versions.
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Associate metadata, such as training metrics, with a model.
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Manage the approval status of a model.
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Deploy models to production.
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Automate model deployment with CI/CD.
Catalog models by creating model package groups that contain different versions of a model. You can create a model group that tracks all of the models that you train to solve a particular problem. You can then register each model you train and the model registry adds it to the model group as a new model version. A typical workflow might look like the following:
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Create a model group.
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Create an ML pipeline that trains a model. For information about SageMaker pipelines, see Create and Manage SageMaker Pipelines.
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For each run of the ML pipeline, create a model version that you register in the model group you created in the first step.
The following topics show how to use the model registry.
Topics
