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