Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see Managing endpoints — comprehend_create

Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see Managing endpoints.

See https://www.paws-r-sdk.com/docs/comprehend_create_endpoint/ for full documentation.

Usage

comprehend_create_endpoint(
  EndpointName,
  ModelArn = NULL,
  DesiredInferenceUnits,
  ClientRequestToken = NULL,
  Tags = NULL,
  DataAccessRoleArn = NULL,
  FlywheelArn = NULL
)

Arguments

EndpointName: [required] This is the descriptive suffix that becomes part of the EndpointArn used for all subsequent requests to this resource.
ModelArn: The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.
DesiredInferenceUnits: [required] The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.
ClientRequestToken: An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a ResourceInUseException.
Tags: Tags to associate with the endpoint. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department.
DataAccessRoleArn: The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
FlywheelArn: The Amazon Resource Number (ARN) of the flywheel to which the endpoint will be attached.