Create Studio Lifecycle Config

sagemaker_create_studio_lifecycle_config

R Documentation

Creates a new Amazon SageMaker AI Studio Lifecycle Configuration¶

Description¶

Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.

Usage¶

sagemaker_create_studio_lifecycle_config(StudioLifecycleConfigName,
  StudioLifecycleConfigContent, StudioLifecycleConfigAppType, Tags)

Arguments¶

StudioLifecycleConfigName

[required] The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.

StudioLifecycleConfigContent

[required] The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.

StudioLifecycleConfigAppType

[required] The App type that the Lifecycle Configuration is attached to.

Tags

Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.

Value¶

A list with the following syntax:

list(
  StudioLifecycleConfigArn = "string"
)

Request syntax¶

svc$create_studio_lifecycle_config(
  StudioLifecycleConfigName = "string",
  StudioLifecycleConfigContent = "string",
  StudioLifecycleConfigAppType = "JupyterServer"|"KernelGateway"|"CodeEditor"|"JupyterLab",
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  )
)