CfnAppProps
- class aws_cdk.aws_sagemaker.CfnAppProps(*, app_name, app_type, domain_id, user_profile_name, resource_spec=None, tags=None)
Bases:
object
Properties for defining a
CfnApp
.- Parameters:
app_name (
str
) – The name of the app.app_type (
str
) – The type of app. Allowed Values :JupyterServer | KernelGateway | RSessionGateway | RStudioServerPro | TensorBoard | Canvas
domain_id (
str
) – The domain ID.user_profile_name (
str
) – The user profile name.resource_spec (
Union
[ResourceSpecProperty
,Dict
[str
,Any
],IResolvable
,None
]) – Specifies the ARNs of a SageMaker image and SageMaker image version, and the instance type that the version runs on.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – An array of key-value pairs to apply to this resource. For more information, see Tag .
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker cfn_app_props = sagemaker.CfnAppProps( app_name="appName", app_type="appType", domain_id="domainId", user_profile_name="userProfileName", # the properties below are optional resource_spec=sagemaker.CfnApp.ResourceSpecProperty( instance_type="instanceType", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), tags=[CfnTag( key="key", value="value" )] )
Attributes
- app_name
The name of the app.
- app_type
The type of app.
Allowed Values :
JupyterServer | KernelGateway | RSessionGateway | RStudioServerPro | TensorBoard | Canvas
- domain_id
The domain ID.
- resource_spec
Specifies the ARNs of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
- user_profile_name
The user profile name.