AWS – SageMaker Automatic Model Tuning automatically chooses tuning configurations

Amazon SageMaker Automatic Model Tuning is now able to automatically choose hyperparameter ranges, search strategy, maximum runtime of a tuning job, early stopping type for training jobs, number of times to retry a training job, and model convergence flag to stop a tuning job, based on the objective metric you provide. This minimizes the time required for you to kickstart your tuning process and increases the chances of finding more accurate models with a lower budget.

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