sagemaker_create_data_quality_job_definition: Creates a definition for a job that monitors data quality and...

View source: R/sagemaker_operations.R

sagemaker_create_data_quality_job_definitionR Documentation

Creates a definition for a job that monitors data quality and drift

Description

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

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

Usage

sagemaker_create_data_quality_job_definition(
  JobDefinitionName,
  DataQualityBaselineConfig = NULL,
  DataQualityAppSpecification,
  DataQualityJobInput,
  DataQualityJobOutputConfig,
  JobResources,
  NetworkConfig = NULL,
  RoleArn,
  StoppingCondition = NULL,
  Tags = NULL
)

Arguments

JobDefinitionName

[required] The name for the monitoring job definition.

DataQualityBaselineConfig

Configures the constraints and baselines for the monitoring job.

DataQualityAppSpecification

[required] Specifies the container that runs the monitoring job.

DataQualityJobInput

[required] A list of inputs for the monitoring job. Currently endpoints are supported as monitoring inputs.

DataQualityJobOutputConfig

[required]

JobResources

[required]

NetworkConfig

Specifies networking configuration for the monitoring job.

RoleArn

[required] The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker 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.


paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.