sagemaker_create_app_image_config {paws.machine.learning} | R Documentation |
Creates a configuration for running a SageMaker AI image as a KernelGateway app
Description
Creates a configuration for running a SageMaker AI image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.
See https://www.paws-r-sdk.com/docs/sagemaker_create_app_image_config/ for full documentation.
Usage
sagemaker_create_app_image_config(
AppImageConfigName,
Tags = NULL,
KernelGatewayImageConfig = NULL,
JupyterLabAppImageConfig = NULL,
CodeEditorAppImageConfig = NULL
)
Arguments
AppImageConfigName |
[required] The name of the AppImageConfig. Must be unique to your account. |
Tags |
A list of tags to apply to the AppImageConfig. |
KernelGatewayImageConfig |
The KernelGatewayImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel will be shown to users before the image starts. Once the image runs, all kernels are visible in JupyterLab. |
JupyterLabAppImageConfig |
The |
CodeEditorAppImageConfig |
The |