IAnomalyDetectorClient.EntireDetectWithHttpMessagesAsync Method
Definition
Important
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Detect anomalies for the entire series in batch.
public System.Threading.Tasks.Task<Microsoft.Rest.HttpOperationResponse<Microsoft.Azure.CognitiveServices.AnomalyDetector.Models.EntireDetectResponse>> EntireDetectWithHttpMessagesAsync (Microsoft.Azure.CognitiveServices.AnomalyDetector.Models.Request body, System.Collections.Generic.Dictionary<string,System.Collections.Generic.List<string>> customHeaders = default, System.Threading.CancellationToken cancellationToken = default);abstract member EntireDetectWithHttpMessagesAsync : Microsoft.Azure.CognitiveServices.AnomalyDetector.Models.Request * System.Collections.Generic.Dictionary<string, System.Collections.Generic.List<string>> * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Microsoft.Rest.HttpOperationResponse<Microsoft.Azure.CognitiveServices.AnomalyDetector.Models.EntireDetectResponse>>Public Function EntireDetectWithHttpMessagesAsync (body As Request, Optional customHeaders As Dictionary(Of String, List(Of String)) = Nothing, Optional cancellationToken As CancellationToken = Nothing) As Task(Of HttpOperationResponse(Of EntireDetectResponse))Parameters
- body
- Request
Time series points and period if needed. Advanced model parameters can also be set in the request.
- customHeaders
- Dictionary<String,List<String>>
The headers that will be added to request.
- cancellationToken
- CancellationToken
The cancellation token.
Returns
Remarks
This operation generates a model using 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.
Applies to
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