paws (version 0.3.0)

sagemakerruntime: Amazon SageMaker Runtime

Description

The Amazon SageMaker runtime API.

Usage

sagemakerruntime(config = list())

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.

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

• 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.

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"
  )
)

Operations

invoke_endpoint	After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint
invoke_endpoint_async	After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner

Examples

if (FALSE) {
svc <- sagemakerruntime()
svc$invoke_endpoint(
  Foo = 123
)
}