Which AWS feature records details about ML instance data for governance and reporting?
Amazon SageMaker Model Cards provide a centralized and standardized repository for documenting machine learning models. They capture key details such as the model's intended use, training and evaluation datasets, performance metrics, ethical considerations, and other relevant information. This documentation facilitates governance and reporting by ensuring that all stakeholders have access to consistent and comprehensive information about each model. While Amazon SageMaker Debugger is used for real-time debugging and monitoring during training, and Amazon SageMaker Model Monitor tracks deployed models for data and prediction quality, neither offers the comprehensive documentation capabilities of Model Cards. Amazon SageMaker JumpStart provides pre-built models and solutions but does not focus on governance documentation.
Caprice
3 months agoEttie
3 months agoPilar
2 months agoAnabel
2 months agoKenneth
2 months agoTula
2 months agoCarri
3 months agoLucina
2 months agoJoesph
2 months agoStephania
2 months agoSelma
2 months agoMarya
4 months agoJennifer
4 months agoVerdell
4 months agoDonte
4 months agoLaticia
4 months agoMee
3 months agoShawnda
3 months agoRosalind
3 months agoTammy
3 months agoBrittney
4 months agoClaudio
4 months agoNu
4 months ago