Description Usage Arguments Value Request syntax
View source: R/comprehend_operations.R
Creates a model-specific endpoint for synchronous inference for a previously trained custom model
1 2 | comprehend_create_endpoint(EndpointName, ModelArn,
DesiredInferenceUnits, ClientRequestToken, Tags)
|
EndpointName |
[required] This is the descriptive suffix that becomes part of the |
ModelArn |
[required] 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 associated with the endpoint being created. 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. |
A list with the following syntax:
1 2 3 | list(
EndpointArn = "string"
)
|
1 2 3 4 5 6 7 8 9 10 11 12 |
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