SageMaker Studio Model Pipelines Integration
GPTKB entity
Statements (48)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Amazon SageMaker feature
|
| gptkbp:announced |
2021
|
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/pipelines-studio-integration.html
|
| gptkbp:enables |
pipeline versioning
integration with AWS IAM integration with Amazon S3 integration with AWS Lambda integration with AWS Secrets Manager integration with AWS Step Functions integration with Amazon CloudWatch pipeline automation parameterized pipelines pipeline comparison pipeline debugging pipeline scheduling pipeline sharing pipeline visualization integration with AWS CodeBuild integration with AWS CodeDeploy integration with AWS CodePipeline integration with Git repositories end-to-end machine learning workflows integration with AWS KMS integration with Amazon EventBridge reproducible ML workflows CI/CD for ML models collaborative ML development integration with AWS CodeCommit integration with Amazon SNS integration with Amazon SQS pipeline execution tracking visual pipeline authoring |
| https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Studio Model Pipelines Integration
|
| gptkbp:integratesWith |
gptkb:SageMaker_Batch_Transform
gptkb:SageMaker_Experiments gptkb:SageMaker_Model_Registry gptkb:SageMaker_Pipelines gptkb:SageMaker_Processing gptkb:SageMaker_Training SageMaker Endpoints SageMaker Tuning |
| gptkbp:partOf |
gptkb:Amazon_SageMaker_Studio
|
| gptkbp:supports |
model deployment
model monitoring model training model building |
| gptkbp:bfsParent |
gptkb:SageMaker
|
| gptkbp:bfsLayer |
6
|