Home
Storia in 1 fonti
Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1 | Amazon Web Services
Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry, with lifecycle stage promotion. Part 1 shows how to govern candidate models in a single account using IAM guardrails.
Raccontata da
aws.amazon.com
aws.amazon.comTimeline cronologica
- ·
Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1 | Amazon Web Services
Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry,…
- ·
Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2 | Amazon Web Services
Governing models across accounts is the next step after automatic model registration. This post extends managed MLflow and Amazon SageMaker AI Model Registry sync to two…