Amazon SageMaker ML Lineage Tracking

Amazon SageMaker ML Lineage Tracking creates and stores information about the steps of a machine learning (ML) workflow from data preparation to model deployment. With the tracking information, you can reproduce the workflow steps, track model and dataset lineage, and establish model governance and audit standards.

With SageMaker Lineage Tracking data scientists and model builders can do the following:

• Keep a running history of model discovery experiments.

• Establish model governance by tracking model lineage artifacts for auditing and compliance verification.

The following diagram shows an example lineage graph that Amazon SageMaker automatically creates in an end-to-end model training and deployment ML workflow.

Topics

• Lineage Tracking Entities
• Amazon SageMaker–Created Tracking Entities
• Manually Create Tracking Entities
• Querying Lineage Entities
• Cross-Account Lineage Tracking