HumanLoopActivationConditionsConfig - Amazon SageMaker


Defines under what conditions SageMaker creates a human loop. Used within CreateFlowDefinition. See HumanLoopActivationConditionsConfig for the required format of activation conditions.



JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

Type: String

Length Constraints: Maximum length of 10240.

Required: Yes

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: