Centralize model governance with SageMaker Model Registry Resource Access Manager sharing
AWS Machine Learning
NOVEMBER 14, 2024
The DS uses SageMaker Training jobs to generate metrics captured by , selects a candidate model, and registers the model version inside the shared model group in their local model registry. You can use the method mlflow.autolog() to log metrics, parameters, and models without the need for explicit log statements.
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