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sagemaker_start_notebook_instance

Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume


Description

Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook.

Usage

sagemaker_start_notebook_instance(NotebookInstanceName)

Arguments

NotebookInstanceName

[required] The name of the notebook instance to start.

Value

An empty list.

Request syntax

svc$start_notebook_instance(
  NotebookInstanceName = "string"
)

paws.machine.learning

Amazon Web Services Machine Learning Services

v0.1.11
Apache License (>= 2.0)
Authors
David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Initial release

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