Amazon SageMaker Model Cards
Learn how to document key details of machine learning models with SageMaker Model Cards, ensuring transparency and responsible AI throughout their life cycle.
Amazon SageMaker Model Cards offer a structured, centralized way to record important details about machine learning models throughout their life cycle for governance and reporting. They help teams keep track of details like the model’s purpose, how it was trained, its performance, and any risks to be aware of—especially helpful in industries that require detailed documentation. Think of it as a “profile” for each model, capturing essential details, performance data, and recommendations to help stakeholders understand its strengths, limitations, and suitability for specific tasks.
What does a SageMaker Model Card store?
Image SageMaker Model Cards as an instruction manual that provides detailed documentation of a machine learning (ML) model. It helps developers and users understand how to operate and maintain the model and provides a clear understanding of the model’s purpose, behavior, and requirements. This information of the model is stored in the Model card JSON scema. Let’s look at the information that is stored in the Model Cards in detail:
Intended use of a model
Sagemaker Model Cards store the intended uses of the model to help users and other developers provide the information needed to deploy and train the model. Generally, the following is stored to provide intended use:
The general ...