Amazon SageMaker Runtime¶

Description¶

The Amazon SageMaker AI runtime API.

Usage¶

sagemakerruntime(
  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
  • use_dual_stack: Set this to true to use the dualstack (IPv4 and IPv6) endpoint for a service, where available, falling back to the regular endpoint when it isn't. Defaults to the AWS_USE_DUALSTACK_ENDPOINT environment variable when unset.

• 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.

Value¶

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 <- sagemakerruntime(
  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",
    use_dual_stack = "logical"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations¶

Examples¶

svc <- sagemakerruntime()
svc$invoke_endpoint(
  Foo = 123
)