AWS – Amazon SageMaker Automatic Model Tuning now supports increased limits to improve the accuracy of your models

Amazon SageMaker Automatic Model Tuning enables you to find the most accurate version of a machine learning (ML) model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning now supports increased limits for two service quotas, with up to 50% higher number of total training jobs that can be run per tuning job and maximum number of hyperparameters that can be searched per tuning job.

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