sagemaker_create_partner_app: Creates an Amazon SageMaker Partner AI App
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_partner_app

R Documentation

Creates an Amazon SageMaker Partner AI App

Description

Creates an Amazon SageMaker Partner AI App.

See https://www.paws-r-sdk.com/docs/sagemaker_create_partner_app/ for full documentation.

Usage

sagemaker_create_partner_app(
  Name,
  Type,
  ExecutionRoleArn,
  MaintenanceConfig = NULL,
  Tier,
  ApplicationConfig = NULL,
  AuthType,
  EnableIamSessionBasedIdentity = NULL,
  ClientToken = NULL,
  Tags = NULL
)

Arguments

`Name`	[required] The name to give the SageMaker Partner AI App.
`Type`	[required] The type of SageMaker Partner AI App to create. Must be one of the following: `lakera-guard`, `comet`, `deepchecks-llm-evaluation`, or `fiddler`.
`ExecutionRoleArn`	[required] The ARN of the IAM role that the partner application uses.
`MaintenanceConfig`	Maintenance configuration settings for the SageMaker Partner AI App.
`Tier`	[required] Indicates the instance type and size of the cluster attached to the SageMaker Partner AI App.
`ApplicationConfig`	Configuration settings for the SageMaker Partner AI App.
`AuthType`	[required] The authorization type that users use to access the SageMaker Partner AI App.
`EnableIamSessionBasedIdentity`	When set to `TRUE`, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
`ClientToken`	A unique token that guarantees that the call to this API is idempotent.
`Tags`	Each tag consists of a key and an optional value. Tag keys must be unique per resource.