JupyterLabAppSettings - Amazon SageMaker (original) (raw)
The settings for the JupyterLab application.
Contents
AppLifecycleManagement
Indicates whether idle shutdown is activated for JupyterLab applications.
Type: AppLifecycleManagement object
Required: No
BuiltInLifecycleConfigArn
The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 256.
Pattern: (arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:studio-lifecycle-config/.*|None)
Required: No
CodeRepositories
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
Type: Array of CodeRepository objects
Array Members: Minimum number of 0 items. Maximum number of 10 items.
Required: No
CustomImages
A list of custom SageMaker images that are configured to run as a JupyterLab app.
Type: Array of CustomImage objects
Array Members: Minimum number of 0 items. Maximum number of 200 items.
Required: No
DefaultResourceSpec
Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.
Note
When both SageMakerImageVersionArn
and SageMakerImageArn
are passed, SageMakerImageVersionArn
is used. Any updates to SageMakerImageArn
will not take effect if SageMakerImageVersionArn
already exists in the ResourceSpec
because SageMakerImageVersionArn
always takes precedence. To clear the value set for SageMakerImageVersionArn
, pass None
as the value.
Type: ResourceSpec object
Required: No
EmrSettings
The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.
Type: EmrSettings object
Required: No
LifecycleConfigArns
The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns
to an empty list.
Type: Array of strings
Length Constraints: Minimum length of 0. Maximum length of 256.
Pattern: (arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:studio-lifecycle-config/.*|None)
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
JupyterLabAppImageConfig
JupyterServerAppSettings
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