sagemaker_create_studio_lifecycle_config: Creates a new Studio Lifecycle Configuration
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_studio_lifecycle_config

R Documentation

Creates a new Studio Lifecycle Configuration

Description

Creates a new Studio Lifecycle Configuration.

See https://www.paws-r-sdk.com/docs/sagemaker_create_studio_lifecycle_config/ for full documentation.

Usage

sagemaker_create_studio_lifecycle_config(
  StudioLifecycleConfigName,
  StudioLifecycleConfigContent,
  StudioLifecycleConfigAppType,
  Tags = NULL
)

Arguments

`StudioLifecycleConfigName`	[required] The name of the Studio Lifecycle Configuration to create.
`StudioLifecycleConfigContent`	[required] The content of your 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.