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detect_univariate_entire_series

Creates, updates, deletes, gets or lists a detect_univariate_entire_series resource.

Overview

Namedetect_univariate_entire_series
TypeResource
Idazure.ai_anomaly_detector.detect_univariate_entire_series

Fields

The following fields are returned by SELECT queries:

SELECT not supported for this resource, use SHOW METHODS to view available operations for the resource.

Methods

The following methods are available for this resource:

NameAccessible byRequired ParamsOptional ParamsDescription
detect_univariate_entire_seriesexecendpoint, api_version, seriesDetect anomalies for the entire series in batch. This operation generates a model with an entire series, each point is detected with the same model. With this method, points before and after a certain point are used to determine whether it is an anomaly. The entire detection can give user an overall status of the time series.

Parameters

Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.

NameDatatypeDescription
api_versionstringThe service endpoint host (no scheme), e.g. myaccount.table.cosmos.azure.com:443 - value of the client ApiVersion parameter. (default: )
endpointstringThe service endpoint host (no scheme), e.g. myaccount.table.cosmos.azure.com:443 - value of the client Endpoint parameter. (default: )

Lifecycle Methods

Detect anomalies for the entire series in batch. This operation generates a model with an entire series, each point is detected with the same model. With this method, points before and after a certain point are used to determine whether it is an anomaly. The entire detection can give user an overall status of the time series.

EXEC azure.ai_anomaly_detector.detect_univariate_entire_series.detect_univariate_entire_series 
@endpoint='{{ endpoint }}' --required,
@api_version='{{ api_version }}' --required
@@json=
'{
"series": "{{ series }}",
"granularity": "{{ granularity }}",
"customInterval": {{ customInterval }},
"period": {{ period }},
"maxAnomalyRatio": {{ maxAnomalyRatio }},
"sensitivity": {{ sensitivity }},
"imputeMode": "{{ imputeMode }}",
"imputeFixedValue": {{ imputeFixedValue }}
}'
;