StartNotebookInstance
Launches 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.
Request Syntax
{
"NotebookInstanceName": "string"
}Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- NotebookInstanceName
-
The name of the notebook instance to start.
Type: String
Length Constraints: Maximum length of 63.
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9])*Required: Yes
Response Elements
If the action is successful, the service sends back an HTTP 200 response with an empty HTTP body.
Errors
For information about the errors that are common to all actions, see Common Errors.
- ResourceLimitExceeded
-
You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
