sagemaker_create_app: Creates a running app for the specified UserProfile

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates a running app for the specified UserProfile

Description

Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.

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

Usage

sagemaker_create_app(
  DomainId,
  UserProfileName = NULL,
  SpaceName = NULL,
  AppType,
  AppName,
  Tags = NULL,
  ResourceSpec = NULL
)

Arguments

DomainId	[required] The domain ID.
UserProfileName	The user profile name. If this value is not set, then SpaceName must be set.
SpaceName	The name of the space. If this value is not set, then UserProfileName must be set.
AppType	[required] The type of app.
AppName	[required] The name of the app.
Tags	Each tag consists of a key and an optional value. Tag keys must be unique per resource.
ResourceSpec	The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance. The value of InstanceType passed as part of the ResourceSpec in the create_app call overrides the value passed as part of the ResourceSpec configured for the user profile or the domain. If InstanceType is not specified in any of those three ResourceSpec values for a KernelGateway app, the create_app call fails with a request validation error.

paws.machine.learning documentation built on April 3, 2025, 8:41 p.m.