Creates a model-specific endpoint for synchronous inference for a previously trained custom model
Creates a model-specific endpoint for synchronous inference for a previously trained custom model
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:
list( EndpointArn = "string" )
svc$create_endpoint(
EndpointName = "string",
ModelArn = "string",
DesiredInferenceUnits = 123,
ClientRequestToken = "string",
Tags = list(
list(
Key = "string",
Value = "string"
)
)
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