createMonitoringSchedule method
Future<CreateMonitoringScheduleResponse>
createMonitoringSchedule({
- required MonitoringScheduleConfig monitoringScheduleConfig,
- required String monitoringScheduleName,
- List<
Tag> ? tags,
Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint.
May throw ResourceLimitExceeded. May throw ResourceInUse.
Parameter monitoringScheduleConfig
:
The configuration object that specifies the monitoring schedule and
defines the monitoring job.
Parameter monitoringScheduleName
:
The name of the monitoring schedule. The name must be unique within an AWS
Region within an AWS account.
Parameter tags
:
(Optional) An array of key-value pairs. For more information, see Using
Cost Allocation Tags in the AWS Billing and Cost Management User
Guide.
Implementation
Future<CreateMonitoringScheduleResponse> createMonitoringSchedule({
required MonitoringScheduleConfig monitoringScheduleConfig,
required String monitoringScheduleName,
List<Tag>? tags,
}) async {
ArgumentError.checkNotNull(
monitoringScheduleConfig, 'monitoringScheduleConfig');
ArgumentError.checkNotNull(
monitoringScheduleName, 'monitoringScheduleName');
_s.validateStringLength(
'monitoringScheduleName',
monitoringScheduleName,
1,
63,
isRequired: true,
);
final headers = <String, String>{
'Content-Type': 'application/x-amz-json-1.1',
'X-Amz-Target': 'SageMaker.CreateMonitoringSchedule'
};
final jsonResponse = await _protocol.send(
method: 'POST',
requestUri: '/',
exceptionFnMap: _exceptionFns,
// TODO queryParams
headers: headers,
payload: {
'MonitoringScheduleConfig': monitoringScheduleConfig,
'MonitoringScheduleName': monitoringScheduleName,
if (tags != null) 'Tags': tags,
},
);
return CreateMonitoringScheduleResponse.fromJson(jsonResponse.body);
}