class Aws::SageMaker::Types::JupyterServerAppSettings
The JupyterServer app settings.
@note When making an API call, you may pass JupyterServerAppSettings
data as a hash: { default_resource_spec: { sage_maker_image_arn: "ImageArn", sage_maker_image_version_arn: "ImageVersionArn", instance_type: "system", # accepts 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.m5d.large, ml.m5d.xlarge, ml.m5d.2xlarge, ml.m5d.4xlarge, ml.m5d.8xlarge, ml.m5d.12xlarge, ml.m5d.16xlarge, ml.m5d.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.p3dn.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge lifecycle_config_arn: "StudioLifecycleConfigArn", }, lifecycle_config_arns: ["StudioLifecycleConfigArn"], }
@!attribute [rw] default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. @return [Types::ResourceSpec]
@!attribute [rw] lifecycle_config_arns
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. @return [Array<String>]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/JupyterServerAppSettings AWS API Documentation
Constants
- SENSITIVE