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

Description¶

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

Usage¶

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

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.

Value¶

A list with the following syntax:

list(
  EndpointArn = "string",
  ModelArn = "string"
)

Request syntax¶

svc$create_endpoint(
  EndpointName = "string",
  ModelArn = "string",
  DesiredInferenceUnits = 123,
  ClientRequestToken = "string",
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  ),
  DataAccessRoleArn = "string",
  FlywheelArn = "string"
)