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SageMaker Studio Model Pipelines
URI:
https://gptkb.org/entity/SageMaker_Studio_Model_Pipelines
GPTKB entity
Statements (33)
Predicate
Object
gptkbp:instanceOf
gptkb: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
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
7
https://www.w3.org/2000/01/rdf-schema#label
SageMaker Studio Model Pipelines