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Version: 4.2.0

aws_sagemaker_experiment

Description​

AWS SageMaker Experiment is a feature of Amazon SageMaker that helps data scientists and machine learning engineers organize, track, and compare machine learning experiments. It records metadata, parameters, and artifacts for each experiment run, facilitating reproducibility and analysis. Users can visualize results, compare different runs, and share findings with team members to improve collaboration and decision-making in ML projects.

Base Hierarchy​

Hierarchy of SageMaker Experiment

Relationship to other Resources​

Diagram of SageMaker Experiment resource relationships

Properties​

Diagram of SageMaker Experiment data model