Create Endpoint
comprehend_create_endpoint | R Documentation |
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 |
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 |
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"
)