Tagging now Available with the Amazon Machine Learning API
You now have the ability to add, modify, remove, and list tags on an object through the Amazon Machine Learning (Amazon ML) API. You can also grant and revoke permissions for these operations through Identity and Access Management (IAM) on the API.
You now have the ability to add, modify, remove, and list tags on an object through the Amazon Machine Learning (Amazon ML) API. You can also grant and revoke permissions for these operations through Identity and Access Management (IAM) on the API.
Tags are often used to organize resources, such as allocating costs to projects and related budgets while still using AWS offerings from a single account. Using a standardized process for cost allocation through tags can save many administrative hours of your time per month. In addition to cost allocation, tagging can be used for organization and lifecycle management. By example, tags can be used to identify data provenance and model classification, compliance requirements and retention, and change control.
To learn more about tagging with Amazon Machine Learning, visit the Amazon ML API documentation.