add_association

add_association(**kwargs)

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 also: AWS API Documentation

Request Syntax

response = client.add_association(
    SourceArn='string',
    DestinationArn='string',
    AssociationType='ContributedTo'|'AssociatedWith'|'DerivedFrom'|'Produced'
)

Parameters

• SourceArn (string) --

  [REQUIRED]

  The ARN of the source.

• DestinationArn (string) --

  [REQUIRED]

  The Amazon Resource Name (ARN) of the destination.

• AssociationType (string) --

  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.

Return type

dict

Returns

Response Syntax

{
    'SourceArn': 'string',
    'DestinationArn': 'string'
}

Response Structure

• (dict) --

  • SourceArn (string) --

    The ARN of the source.

  • DestinationArn (string) --

    The Amazon Resource Name (ARN) of the destination.

Exceptions

• SageMaker.Client.exceptions.ResourceNotFound
• SageMaker.Client.exceptions.ResourceLimitExceeded