Resource Type: AWS > SageMaker
The SageMaker service provides a fully managed machine learning platform in the AWS cloud. It allows users to build, train, and deploy machine learning models, known as instances, that can run complex predictive and analytical applications and services.
Resource Types
The SageMaker service includes these resource types:
- Code Repository
- Domain
- Endpoint
- Endpoint Configuration
- Lifecycle Configuration
- Model
- Notebook Instance
- Training Job
Category
In Your Workspace
- Controls by Resource Type report
- Policy Settings by Resource Type report
- Resources by Resource Type report
Developers
- tmod:@turbot/aws-sagemaker#/resource/types/sageMaker
- tmod:@turbot/turbot#/resource/categories/cloudService
- turbot graphql resource --id "tmod:@turbot/aws-sagemaker#/resource/types/sageMaker"
Get Resource- select * from guardrails_resource where resource_type_uri = 'tmod:@turbot/aws-sagemaker#/resource/types/sageMaker';
- select * from guardrails_policy_setting where filter = 'resourceTypeId:"tmod:@turbot/aws-sagemaker#/resource/types/sageMaker"';
- select * from guardrails_notification where resource_type_uri = 'tmod:@turbot/aws-sagemaker#/resource/types/sageMaker' and notification_type in ('resource_updated', 'resource_created');
Get ResourceGet Policy Settings (By Resource ID)Get Resource Notification
Resource Type URI
Category URI
GraphQL
CLI
Steampipe Query