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Version: 4.2.0

aws_sagemaker_hyper_parameter_tuning_job

Description​

AWS SageMaker Hyperparameter Tuning Job automates the process of finding optimal hyperparameters for machine learning models. It runs multiple training jobs with different hyperparameter combinations, evaluates model performance, and selects the best-performing configuration. This service helps data scientists and developers improve model accuracy and efficiency without manually testing numerous parameter sets.

Base Hierarchy​

Hierarchy of SageMaker Hyper Parameter Tuning Job

Relationship to other Resources​

Diagram of SageMaker Hyper Parameter Tuning Job resource relationships

Properties​

Diagram of SageMaker Hyper Parameter Tuning Job data model