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.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #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 AI image and SageMaker AI 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.

Returns:

• (Types::AppLifecycleManagement)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 28333

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.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 28333

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.

Returns:

• (Array<Types::CodeRepository>)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 28333

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.

Returns:

• (Array<Types::CustomImage>)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 28333

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 AI image and SageMaker AI image version, and the instance type that the version runs on.

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.

Returns:

• (Types::ResourceSpec)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 28333

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.

Returns:

• (Types::EmrSettings)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 28333

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.

Returns:

• (Array<String>)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 28333

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