augmentedairuntime function

Amazon Augmented AI Runtime

Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI application can't evaluate data with a high degree of confidence, human reviewers can take over. This human review is called a human review workflow. To create and start a human review workflow, you need three resources: a worker task template, a flow definition, and a human loop.

For information about these resources and prerequisites for using Amazon A2I, see Get Started with Amazon Augmented AI

in the Amazon SageMaker Developer Guide.

This API reference includes information about API actions and data types that you can use to interact with Amazon A2I programmatically. Use this guide to:

• Start a human loop with the start_human_loop operation when using Amazon A2I with a custom task type. To learn more about the difference between custom and built-in task types, see Use Task Types

  . To learn how to start a human loop using this API, see Create and Start a Human Loop for a Custom Task Type

  in the Amazon SageMaker Developer Guide.

• Manage your human loops. You can list all human loops that you have created, describe individual human loops, and stop and delete human loops. To learn more, see Monitor and Manage Your Human Loop

  in the Amazon SageMaker Developer Guide.

Amazon A2I integrates APIs from various AWS services to create and start human review workflows for those services. To learn how Amazon A2I uses these APIs, see Use APIs in Amazon A2I

in the Amazon SageMaker Developer Guide.

augmentedairuntime(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

• config: Optional configuration of credentials, endpoint, and/or region.

  • credentials :

    • creds :

      • access_key_id : AWS access key ID
      • secret_access_key : AWS secret access key
      • session_token : AWS temporary session token

    • profile : The name of a profile to use. If not given, then the default profile is used.

    • anonymous : Set anonymous credentials.

  • endpoint : The complete URL to use for the constructed client.

  • region : The AWS Region used in instantiating the client.

  • close_connection : Immediately close all HTTP connections.

  • timeout : The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style : Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.

  • sts_regional_endpoint : Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

• credentials: Optional credentials shorthand for the config parameter

  • creds :

    • access_key_id : AWS access key ID
    • secret_access_key : AWS secret access key
    • session_token : AWS temporary session token

  • profile : The name of a profile to use. If not given, then the default profile is used.

  • anonymous : Set anonymous credentials.

• endpoint: Optional shorthand for complete URL to use for the constructed client.

• region: Optional shorthand for AWS Region used in instantiating the client.

Returns

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- augmentedairuntime(
  config = list(
    credentials = list(
 creds = list(
   access_key_id = "string",
   secret_access_key = "string",
   session_token = "string"
 ),
 profile = "string",
 anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
 access_key_id = "string",
 secret_access_key = "string",
 session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

delete_human_loop	Deletes the specified human loop for a flow definition
describe_human_loop	Returns information about the specified human loop
list_human_loops	Returns information about human loops, given the specified parameters
start_human_loop	Starts a human loop, provided that at least one activation condition is met
stop_human_loop	Stops the specified human loop

Examples

## Not run:

svc <- augmentedairuntime()
svc$delete_human_loop(
  Foo = 123
)
## End(Not run)