sagemaker_create_endpoint {paws.machine.learning} | R Documentation |
Creates an endpoint using the endpoint configuration specified in the request
Description
Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the create_endpoint_config
API.
See https://www.paws-r-sdk.com/docs/sagemaker_create_endpoint/ for full documentation.
Usage
sagemaker_create_endpoint(
EndpointName,
EndpointConfigName,
DeploymentConfig = NULL,
Tags = NULL
)
Arguments
EndpointName |
[required] The name of the endpoint.The name must be unique within an Amazon Web
Services Region in your Amazon Web Services account. The name is
case-insensitive in |
EndpointConfigName |
[required] The name of an endpoint configuration. For more information, see
|
DeploymentConfig |
|
Tags |
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources. |