SageMaker Flow Definition

SageMaker Flow Definition in AWS defines the configuration for human-in-the-loop workflows. It specifies how human review tasks are set up, including the workforce, UI template, and output storage. This resource is used with SageMaker Ground Truth and Augmented AI to manage data labeling or model review processes, ensuring human input is integrated into machine learning workflows.

aws.sagemaker_flow_definition

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
creation_timecoretimestampThe timestamp when the flow definition was created.
failure_reasoncorestringThe reason your flow definition failed.
flow_definition_arncorestringThe Amazon Resource Name (ARN) of the flow defintion.
flow_definition_namecorestringThe Amazon Resource Name (ARN) of the flow definition.
flow_definition_statuscorestringThe status of the flow definition. Valid values are listed below.
human_loop_activation_configcorejsonAn object containing information about what triggers a human review workflow.
human_loop_configcorejsonAn object containing information about who works on the task, the workforce task price, and other task details.
human_loop_request_sourcecorejsonContainer for configuring the source of human task requests. Used to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
output_configcorejsonAn object containing information about the output file.
role_arncorestringThe Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) execution role for the flow definition.
tagscorehstore