Creates a running App for the specified UserProfile
Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
sagemaker_create_app(DomainId, UserProfileName, AppType, AppName, Tags, ResourceSpec)
DomainId |
[required] The domain ID. |
UserProfileName |
[required] The user profile name. |
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. |
A list with the following syntax:
list( AppArn = "string" )
svc$create_app(
DomainId = "string",
UserProfileName = "string",
AppType = "JupyterServer"|"KernelGateway"|"TensorBoard",
AppName = "string",
Tags = list(
list(
Key = "string",
Value = "string"
)
),
ResourceSpec = list(
SageMakerImageArn = "string",
SageMakerImageVersionArn = "string",
InstanceType = "system"|"ml.t3.micro"|"ml.t3.small"|"ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.8xlarge"|"ml.m5.12xlarge"|"ml.m5.16xlarge"|"ml.m5.24xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.12xlarge"|"ml.c5.18xlarge"|"ml.c5.24xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"
)
)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.