Smaws_Client_SageMaker.StartNotebookInstanceLaunches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker AI sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook.
val error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `ResourceLimitExceeded of Types.resource_limit_exceeded ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.start_notebook_instance_input ->
(Smaws_Lib.Smithy_api.Types.unit_,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceLimitExceeded of Types.resource_limit_exceeded ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.start_notebook_instance_input ->
(Smaws_Lib.Smithy_api.Types.unit_ Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceLimitExceeded of Types.resource_limit_exceeded ]
* Smaws_Lib.Response.metadata)
Stdlib.result