Smaws_Client_MachineLearning.CreateRealtimeEndpointCreates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.
val error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `InternalServerException of Types.internal_server_exception
| `InvalidInputException of Types.invalid_input_exception
| `ResourceNotFoundException of Types.resource_not_found_exception ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.create_realtime_endpoint_input ->
(Types.create_realtime_endpoint_output,
[> Smaws_Lib.Protocols.AwsJson.error
| `InternalServerException of Types.internal_server_exception
| `InvalidInputException of Types.invalid_input_exception
| `ResourceNotFoundException of Types.resource_not_found_exception ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.create_realtime_endpoint_input ->
(Types.create_realtime_endpoint_output Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `InternalServerException of Types.internal_server_exception
| `InvalidInputException of Types.invalid_input_exception
| `ResourceNotFoundException of Types.resource_not_found_exception ]
* Smaws_Lib.Response.metadata)
Stdlib.result