/AWS1/CL_SGM=>CREATEAPPIMAGECONFIG()¶
About CreateAppImageConfig¶
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.
Method Signature¶
IMPORTING¶
Required arguments:¶
IV_APPIMAGECONFIGNAME TYPE /AWS1/SGMAPPIMAGECONFIGNAME /AWS1/SGMAPPIMAGECONFIGNAME¶
The name of the AppImageConfig. Must be unique to your account.
Optional arguments:¶
IT_TAGS TYPE /AWS1/CL_SGMTAG=>TT_TAGLIST TT_TAGLIST¶
A list of tags to apply to the AppImageConfig.
IO_KERNELGATEWAYIMAGECONFIG TYPE REF TO /AWS1/CL_SGMKERNELGWIMAGECFG /AWS1/CL_SGMKERNELGWIMAGECFG¶
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.
IO_JUPYTERLABAPPIMAGECONFIG TYPE REF TO /AWS1/CL_SGMJUPYTERLABAPPIMA00 /AWS1/CL_SGMJUPYTERLABAPPIMA00¶
The
JupyterLabAppImageConfig. You can only specify one image kernel in theAppImageConfigAPI. This kernel is shown to users before the image starts. After the image runs, all kernels are visible in JupyterLab.
IO_CODEEDITORAPPIMAGECONFIG TYPE REF TO /AWS1/CL_SGMCODEEDITORAPPIMA00 /AWS1/CL_SGMCODEEDITORAPPIMA00¶
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.