Amazon Web Services Posted January 24, 2023 Share Posted January 24, 2023 SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. Previously, you could only specify environment variables for your algorithm runtime in your SageMaker Training jobs, but not in your tuning jobs. Starting today, you have the flexibility to specify runtime environment variables for your scripts in your CreateTuningJob API. View the full article Quote Link to comment Share on other sites More sharing options...
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