aws sagemaker create-model-quality-job-definition

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

Options

NameDescription
--job-definition-name <string>The name of the monitoring job definition
--model-quality-baseline-config <structure>Specifies the constraints and baselines for the monitoring job
--model-quality-app-specification <structure>The container that runs the monitoring job
--model-quality-job-input <structure>A list of the inputs that are monitored. Currently endpoints are supported
--model-quality-job-output-config <structure>The output configuration for monitoring jobs
--job-resources <structure>Identifies the resources to deploy for a monitoring job
--network-config <structure>Specifies the network configuration for the monitoring job
--role-arn <string>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf
--stopping-condition <structure>A time limit for how long the monitoring job is allowed to run before stopping
--tags <list>(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide
--cli-input-json <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally
--generate-cli-skeleton <string>Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command