Statements (34)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
machine learning workflow service
|
| gptkbp:API |
gptkb:SageMaker_Python_SDK
|
| gptkbp:cloudBased |
gptkb:AWS
|
| gptkbp:developedBy |
gptkb:Amazon
|
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/pipelines.html
|
| gptkbp:enables |
end-to-end ML workflow automation
|
| gptkbp:feature |
parameterization
conditional execution integration with CI/CD visual interface pipeline execution history step caching pipeline steps |
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon SageMaker Pipelines
|
| gptkbp:integratesWith |
gptkb:AWS_Step_Functions
gptkb:Amazon_S3 gptkb:AWS_Lambda gptkb:Amazon_CloudWatch gptkb:Amazon_SageMaker_Studio |
| gptkbp:launchDate |
2020
|
| gptkbp:partOf |
gptkb:Amazon_SageMaker
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:supports |
data preprocessing
model deployment model evaluation model monitoring machine learning model training model registration |
| gptkbp:uses |
gptkb:MLOps
collaborative ML development automated ML workflows reproducible ML pipelines |
| gptkbp:bfsParent |
gptkb:SageMaker_Studio
|
| gptkbp:bfsLayer |
6
|