start_notebook_instance
(**kwargs)¶Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the notebook instance status to InService
. A notebook instance's status must be InService
before you can connect to your Jupyter notebook.
See also: AWS API Documentation
Request Syntax
response = client.start_notebook_instance(
NotebookInstanceName='string'
)
[REQUIRED]
The name of the notebook instance to start.
Exceptions
SageMaker.Client.exceptions.ResourceLimitExceeded