sagemaker_create_model_quality_job_definition: Creates a definition for a job that monitors model quality and drift

Description

Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.

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

Usage

sagemaker_create_model_quality_job_definition(
  JobDefinitionName,
  ModelQualityBaselineConfig = NULL,
  ModelQualityAppSpecification,
  ModelQualityJobInput,
  ModelQualityJobOutputConfig,
  JobResources,
  NetworkConfig = NULL,
  RoleArn,
  StoppingCondition = NULL,
  Tags = NULL
)

Arguments

JobDefinitionName: [required] The name of the monitoring job definition.
ModelQualityBaselineConfig: Specifies the constraints and baselines for the monitoring job.
ModelQualityAppSpecification: [required] The container that runs the monitoring job.
ModelQualityJobInput: [required] A list of the inputs that are monitored. Currently endpoints are supported.
ModelQualityJobOutputConfig: [required]
JobResources: [required]
NetworkConfig: Specifies the network configuration for the monitoring job.
RoleArn: [required] The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
StoppingCondition
Tags: (Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.