class Aws::SageMaker::Types::TensorBoardAppSettings
The TensorBoard app settings.
@note When making an API call, you may pass TensorBoardAppSettings
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", }, }
@!attribute [rw] default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. @return [Types::ResourceSpec]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/TensorBoardAppSettings AWS API Documentation
Constants
- SENSITIVE