sdk/python/pulumi_aws/sagemaker/outputs.py
def human_loop_activation_conditions(self) -> str:
        """
        A JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. For more information about how to structure the JSON, see [JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI](https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-human-fallback-conditions-json-schema.html).
        """
        return pulumi.get(self, "human_loop_activation_conditions")

        A JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. For more information about how to structure the JSON, see [JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI](https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-human-fallback-conditions-json-schema.html).
        
A JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. For more information about how to structure the JSON, see [JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI].
A JSON expressing use - case specific conditions declaratively . If any condition is matched atomic tasks are created against the configured work team . For more information about how to structure the JSON see [ JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI ] .
def human_loop_activation_conditions(self) -> str:
        return pulumi.get(self, "human_loop_activation_conditions")
def human_loop_activation_conditions ( self ) -> str : return pulumi . get ( self , "human_loop_activation_conditions" )
A JSON expressing use-case specific conditions declaratively.
A JSON expressing use - case specific conditions declaratively .
"""
        A JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. For more information about how to structure the JSON, see [JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI](https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-human-fallback-conditions-json-schema.html).
        """
self