SageMaker Context in AWS represents metadata that helps track and organize machine learning workflows. It captures information about activities, datasets, models, or other entities involved in an ML project, enabling better lineage tracking and experiment management. This resource is useful for understanding relationships between different components in SageMaker and for maintaining reproducibility in ML pipelines.

aws.sagemaker_context

Fields