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sagemaker_add_association

Creates an association between the source and the destination


Description

Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.

Usage

sagemaker_add_association(SourceArn, DestinationArn, AssociationType)

Arguments

SourceArn

[required] The ARN of the source.

DestinationArn

[required] The Amazon Resource Name (ARN) of the destination.

AssociationType

The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions on their use.

  • ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, the training data contributed to the training job.

  • AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with a model deployment.

  • DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input for a processing job is derived from the original inputs.

  • Produced - The source generated the destination. For example, a training job produced a model artifact.

Value

A list with the following syntax:

list(
  SourceArn = "string",
  DestinationArn = "string"
)

Request syntax

svc$add_association(
  SourceArn = "string",
  DestinationArn = "string",
  AssociationType = "ContributedTo"|"AssociatedWith"|"DerivedFrom"|"Produced"
)

paws.machine.learning

Amazon Web Services Machine Learning Services

v0.1.11
Apache License (>= 2.0)
Authors
David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Initial release

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