Amazon SageMaker Automatic Model Tuning now allows you to specify environment variables for your tuning jobs

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. 

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