SageMaker Model Registry now supports model lineage to improve model governance
News
The article discusses a new feature added to Amazon SageMaker Model Registry: model lineage tracking. This feature enables users to automatically capture and retain information about the different steps involved in a machine learning workflow, from data preparation and training to model registration and deployment.
Specifically, the article covers:
- Amazon SageMaker Model Registry as a metadata store for managing the lifecycle of ML models
- The new model lineage tracking feature captures details such as datasets, training jobs, and deployment endpoints
- Model lineage creates an audit trail for traceability and reproducibility, improving model governance
- This capability is available in all AWS regions where Amazon SageMaker Model Registry is available, except GovCloud regions
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Nov 13
2024
2024
Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry
Nov 14
2024
2024
Centralize model governance with SageMaker Model Registry Resource Access Manager sharing
Nov 12
2024
2024
Amazon SageMaker Model Registry now supports defining machine learning model lifecycle stages
Jun 6
2024
2024
Amazon SageMaker Model Registry now supports machine learning (ML) governance information
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.