Class: Aws::SageMaker::Types::JupyterLabAppSettings

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::JupyterLabAppSettings

Includes:

Aws::Structure

Defined in:

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 'lib/aws-sdk-sagemaker/types.rb', line 32597

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 'lib/aws-sdk-sagemaker/types.rb', line 32597

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 'lib/aws-sdk-sagemaker/types.rb', line 32597

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 'lib/aws-sdk-sagemaker/types.rb', line 32597

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.

<note markdown=“1”> 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.

</note>

Returns:

• (Types::ResourceSpec)

# File 'lib/aws-sdk-sagemaker/types.rb', line 32597

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 'lib/aws-sdk-sagemaker/types.rb', line 32597

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 'lib/aws-sdk-sagemaker/types.rb', line 32597

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