sagemaker_add_association: Creates an association between the source and the destination

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

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.

See https://www.paws-r-sdk.com/docs/sagemaker_add_association/ for full documentation.

Usage

sagemaker_add_association(SourceArn, DestinationArn, AssociationType = NULL)

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.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.