sagemaker_create_monitoring_schedule: Creates a schedule that regularly starts Amazon SageMaker...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint

Description

Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint.

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

Usage

sagemaker_create_monitoring_schedule(
  MonitoringScheduleName,
  MonitoringScheduleConfig,
  Tags = NULL
)

Arguments

MonitoringScheduleName	[required] The name of the monitoring schedule. The name must be unique within an Amazon Web Services Region within an Amazon Web Services account.
MonitoringScheduleConfig	[required] The configuration object that specifies the monitoring schedule and defines the monitoring job.
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.