Class: Aws::SageMaker::Types::JupyterLabAppSettings
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::JupyterLabAppSettings
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
The settings for the JupyterLab application.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#app_lifecycle_management ⇒ Types::AppLifecycleManagement
Indicates whether idle shutdown is activated for JupyterLab applications.
-
#built_in_lifecycle_config_arn ⇒ String
The lifecycle configuration that runs before the default lifecycle configuration.
-
#code_repositories ⇒ Array<Types::CodeRepository>
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
-
#custom_images ⇒ Array<Types::CustomImage>
A list of custom SageMaker images that are configured to run as a JupyterLab app.
-
#default_resource_spec ⇒ Types::ResourceSpec
Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
-
#emr_settings ⇒ Types::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.
-
#lifecycle_config_arns ⇒ Array<String>
The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain.
Instance Attribute Details
#app_lifecycle_management ⇒ Types::AppLifecycleManagement
Indicates whether idle shutdown is activated for JupyterLab applications.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25351 class JupyterLabAppSettings < Struct.new( :default_resource_spec, :custom_images, :lifecycle_config_arns, :code_repositories, :app_lifecycle_management, :emr_settings, :built_in_lifecycle_config_arn) SENSITIVE = [] include Aws::Structure end |
#built_in_lifecycle_config_arn ⇒ String
The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25351 class JupyterLabAppSettings < Struct.new( :default_resource_spec, :custom_images, :lifecycle_config_arns, :code_repositories, :app_lifecycle_management, :emr_settings, :built_in_lifecycle_config_arn) SENSITIVE = [] include Aws::Structure end |
#code_repositories ⇒ Array<Types::CodeRepository>
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25351 class JupyterLabAppSettings < Struct.new( :default_resource_spec, :custom_images, :lifecycle_config_arns, :code_repositories, :app_lifecycle_management, :emr_settings, :built_in_lifecycle_config_arn) SENSITIVE = [] include Aws::Structure end |
#custom_images ⇒ Array<Types::CustomImage>
A list of custom SageMaker images that are configured to run as a JupyterLab app.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25351 class JupyterLabAppSettings < Struct.new( :default_resource_spec, :custom_images, :lifecycle_config_arns, :code_repositories, :app_lifecycle_management, :emr_settings, :built_in_lifecycle_config_arn) SENSITIVE = [] include Aws::Structure end |
#default_resource_spec ⇒ Types::ResourceSpec
Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25351 class JupyterLabAppSettings < Struct.new( :default_resource_spec, :custom_images, :lifecycle_config_arns, :code_repositories, :app_lifecycle_management, :emr_settings, :built_in_lifecycle_config_arn) SENSITIVE = [] include Aws::Structure end |
#emr_settings ⇒ Types::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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25351 class JupyterLabAppSettings < Struct.new( :default_resource_spec, :custom_images, :lifecycle_config_arns, :code_repositories, :app_lifecycle_management, :emr_settings, :built_in_lifecycle_config_arn) SENSITIVE = [] include Aws::Structure end |
#lifecycle_config_arns ⇒ Array<String>
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 25351 class JupyterLabAppSettings < Struct.new( :default_resource_spec, :custom_images, :lifecycle_config_arns, :code_repositories, :app_lifecycle_management, :emr_settings, :built_in_lifecycle_config_arn) SENSITIVE = [] include Aws::Structure end |