sagemaker_create_app: Creates a running app for the specified UserProfile
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_app

R Documentation

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 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 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.