paws (version 0.1.12)

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.

Service syntax

svc <- sagemakerruntime(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string"
    ),
    endpoint = "string",
    region = "string"
  )
)

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

Examples

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