searchModelDeploymentMonitoringStatsAnomalies method
- GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequest request,
- String modelDeploymentMonitoringJob, {
- String? $fields,
Searches Model Monitoring Statistics generated within a given time window.
request
- The metadata request object.
Request parameters:
modelDeploymentMonitoringJob
- Required. ModelDeploymentMonitoring Job
resource name. Format:
projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/modelDeploymentMonitoringJobs/\[^/\]+$
.
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client
completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<
GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse>
searchModelDeploymentMonitoringStatsAnomalies(
GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequest
request,
core.String modelDeploymentMonitoringJob, {
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' +
core.Uri.encodeFull('$modelDeploymentMonitoringJob') +
':searchModelDeploymentMonitoringStatsAnomalies';
final response_ = await _requester.request(
url_,
'POST',
body: body_,
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse
.fromJson(response_ as core.Map<core.String, core.dynamic>);
}