sagemaker_create_flow_definition: Creates a flow definition
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_flow_definition

R Documentation

Creates a flow definition

Description

Creates a flow definition.

See https://www.paws-r-sdk.com/docs/sagemaker_create_flow_definition/ for full documentation.

Usage

sagemaker_create_flow_definition(
  FlowDefinitionName,
  HumanLoopRequestSource = NULL,
  HumanLoopActivationConfig = NULL,
  HumanLoopConfig,
  OutputConfig,
  RoleArn,
  Tags = NULL
)

Arguments

`FlowDefinitionName`	[required] The name of your flow definition.
`HumanLoopRequestSource`	Container for configuring the source of human task requests. Use to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
`HumanLoopActivationConfig`	An object containing information about the events that trigger a human workflow.
`HumanLoopConfig`	[required] An object containing information about the tasks the human reviewers will perform.
`OutputConfig`	[required] An object containing information about where the human review results will be uploaded.
`RoleArn`	[required] The Amazon Resource Name (ARN) of the role needed to call other services on your behalf. For example, `⁠arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298⁠`.
`Tags`	An array of key-value pairs that contain metadata to help you categorize and organize a flow definition. Each tag consists of a key and a value, both of which you define.