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Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
CreateNotebookInstance request, specify the type of ML compute instance
that you want to run. Amazon SageMaker launches the instance, installs common libraries
that you can use to explore datasets for model training, and attaches an ML storage
volume to the notebook instance.
Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.
After receiving the request, Amazon SageMaker does the following:
Creates a network interface in the Amazon SageMaker VPC.
(Option) If you specified
SubnetId, Amazon SageMaker creates a network
interface in your own VPC, which is inferred from the subnet ID that you provide in
the input. When creating this network interface, Amazon SageMaker attaches the security
group that you specified in the request to the network interface that it creates in
Launches an EC2 instance of the type specified in the request in the Amazon SageMaker
VPC. If you specified
SubnetId of your VPC, Amazon SageMaker specifies
both network interfaces when launching this instance. This enables inbound traffic
from your own VPC to the notebook instance, assuming that the security groups allow
After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN).
After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.
For more information, see How It Works.
For .NET Core and PCL this operation is only available in asynchronous form. Please refer to CreateNotebookInstanceAsync.
public virtual CreateNotebookInstanceResponse CreateNotebookInstance( CreateNotebookInstanceRequest request )
Container for the necessary parameters to execute the CreateNotebookInstance service method.
|ResourceLimitExceededException||You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.|
Supported in: 4.5, 4.0, 3.5
Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms