sagemaker_create_app_image_config: Creates a configuration for running a SageMaker image as a...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates a configuration for running a SageMaker image as a KernelGateway app

Description

Creates a configuration for running a SageMaker 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 JupyterLabAppImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel is shown to users before the image starts. After the image runs, all kernels are visible in JupyterLab.
CodeEditorAppImageConfig	The CodeEditorAppImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel is shown to users before the image starts. After the image runs, all kernels are visible in Code Editor.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.