Smaws_Client_SageMaker.CreateMlflowAppCreates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
val error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `ResourceLimitExceeded of Types.resource_limit_exceeded ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.create_mlflow_app_request ->
(Types.create_mlflow_app_response,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceLimitExceeded of Types.resource_limit_exceeded ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.create_mlflow_app_request ->
(Types.create_mlflow_app_response Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceLimitExceeded of Types.resource_limit_exceeded ]
* Smaws_Lib.Response.metadata)
Stdlib.result