SageMaker / Client / start_notebook_instance

start_notebook_instance#

SageMaker.Client.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 AI 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'
)
Parameters:

NotebookInstanceName (string) –

[REQUIRED]

The name of the notebook instance to start.

Returns:

None

Exceptions

  • SageMaker.Client.exceptions.ResourceLimitExceeded