class Aws::SageMaker::Types::HumanLoopActivationConditionsConfig
Defines under what conditions SageMaker
creates a human loop. Used within . See for the required format of activation conditions.
@note When making an API call, you may pass HumanLoopActivationConditionsConfig
data as a hash: { human_loop_activation_conditions: "HumanLoopActivationConditions", # required }
@!attribute [rw] human_loop_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][1] in the *Amazon SageMaker Developer Guide*. [1]: https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-human-fallback-conditions-json-schema.html @return [String]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/HumanLoopActivationConditionsConfig AWS API Documentation
Constants
- SENSITIVE