Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.
This repository contains code to manage the following SageMaker resource providers:
- AWS::SageMaker::Pipeline
- AWS::SageMaker::FeatureGroup
- AWS::SageMaker::Project
- AWS::SageMaker::ModelPackageGroup
- AWS::SageMaker::ModelExplainabilityJobDefinition
- AWS::SageMaker::ModelBiasJobDefinition
- AWS::SageMaker::DataQualityJobDefinition
- AWS::SageMaker::ModelQualityJobDefinition
- AWS::SageMaker::MonitoringSchedule
- AWS::SageMaker::Image
- AWS::SageMaker::ImageVersion
- AWS::SageMaker::Domain
- AWS::SageMaker::UserProfile
- AWS::SageMaker::App
- AWS::SageMaker::AppImageConfig
- AWS::SageMaker::Space
- AWS::SageMaker::InferenceExperiment
- AWS::SageMaker::MlflowTrackingServer
See CONTRIBUTING for more information.
This project is licensed under the Apache-2.0 License.