SageMaker Studio Model Pipelines
GPTKB entity
Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
machine learning workflow tool
|
| gptkbp:API |
gptkb:SageMaker_Python_SDK
|
| gptkbp:developedBy |
gptkb:Amazon
|
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/pipelines.html
|
| gptkbp:enables |
end-to-end machine learning workflows
|
| gptkbp:feature |
automation
reproducibility versioning CI/CD integration visual interface conditional steps pipeline parameters step caching |
| https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Studio Model Pipelines
|
| gptkbp:integratesWith |
gptkb:AWS_Step_Functions
gptkb:Amazon_S3 gptkb:AWS_Lambda gptkb:Amazon_SageMaker_Experiments gptkb:Amazon_SageMaker_Model_Registry gptkb:Amazon_SageMaker_Processing gptkb:Amazon_SageMaker_Training Amazon SageMaker Endpoint Amazon SageMaker Transform |
| gptkbp:language |
gptkb:Python
|
| gptkbp:launched |
2020
|
| gptkbp:partOf |
gptkb:Amazon_SageMaker_Studio
|
| gptkbp:supports |
model deployment
model monitoring model training model tuning model building |
| gptkbp:bfsParent |
gptkb:SageMaker
|
| gptkbp:bfsLayer |
6
|