AnomalyDetectorClient.GetMultivariateBatchDetectionResultAsync Method
Definition
Important
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Overloads
GetMultivariateBatchDetectionResultAsync(String, RequestContext) |
[Protocol Method] Get Multivariate Anomaly Detection Result
|
GetMultivariateBatchDetectionResultAsync(String, CancellationToken) |
Get Multivariate Anomaly Detection Result. |
GetMultivariateBatchDetectionResultAsync(String, RequestContext)
- Source:
- AnomalyDetectorClient.cs
[Protocol Method] Get Multivariate Anomaly Detection Result
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler GetMultivariateBatchDetectionResultAsync(String, CancellationToken) convenience overload with strongly typed models first.
public virtual System.Threading.Tasks.Task<Azure.Response> GetMultivariateBatchDetectionResultAsync (string resultId, Azure.RequestContext context);
abstract member GetMultivariateBatchDetectionResultAsync : string * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>
override this.GetMultivariateBatchDetectionResultAsync : string * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>
Public Overridable Function GetMultivariateBatchDetectionResultAsync (resultId As String, context As RequestContext) As Task(Of Response)
Parameters
- resultId
- String
ID of a batch detection result.
- context
- RequestContext
The request context, which can override default behaviors of the client pipeline on a per-call basis.
Returns
The response returned from the service.
Exceptions
resultId
is null.
resultId
is an empty string, and was expected to be non-empty.
Service returned a non-success status code.
Examples
This sample shows how to call GetMultivariateBatchDetectionResultAsync with required parameters and parse the result.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new AnomalyDetectorClient(endpoint, credential);
Response response = await client.GetMultivariateBatchDetectionResultAsync("<resultId>", new RequestContext());
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("resultId").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("status").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("errors")[0].GetProperty("code").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("errors")[0].GetProperty("message").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("variableStates")[0].GetProperty("variable").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("variableStates")[0].GetProperty("filledNARatio").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("variableStates")[0].GetProperty("effectiveCount").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("variableStates")[0].GetProperty("firstTimestamp").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("variableStates")[0].GetProperty("lastTimestamp").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("setupInfo").GetProperty("dataSource").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("setupInfo").GetProperty("topContributorCount").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("setupInfo").GetProperty("startTime").ToString());
Console.WriteLine(result.GetProperty("summary").GetProperty("setupInfo").GetProperty("endTime").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("timestamp").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("value").GetProperty("isAnomaly").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("value").GetProperty("severity").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("value").GetProperty("score").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("value").GetProperty("interpretation")[0].GetProperty("variable").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("value").GetProperty("interpretation")[0].GetProperty("contributionScore").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("value").GetProperty("interpretation")[0].GetProperty("correlationChanges").GetProperty("changedVariables")[0].ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("errors")[0].GetProperty("code").ToString());
Console.WriteLine(result.GetProperty("results")[0].GetProperty("errors")[0].GetProperty("message").ToString());
Remarks
For asynchronous inference, get multivariate anomaly detection result based on resultId returned by the BatchDetectAnomaly api.
Below is the JSON schema for the response payload.
Response Body:
Schema for MultivariateDetectionResult
:
{
resultId: string, # Required.
summary: {
status: "CREATED" | "RUNNING" | "READY" | "FAILED", # Required.
errors: [ErrorResponse], # Optional.
variableStates: [VariableState], # Optional.
setupInfo: {
dataSource: string, # Required.
topContributorCount: number, # Required.
startTime: string (date & time), # Required.
endTime: string (date & time), # Required.
}, # Required.
}, # Required.
results: [
{
timestamp: string (date & time), # Required.
value: {
isAnomaly: boolean, # Required.
severity: number, # Required.
score: number, # Required.
interpretation: [AnomalyInterpretation], # Optional.
}, # Optional.
errors: [ErrorResponse], # Optional.
}
], # Required.
}
Applies to
GetMultivariateBatchDetectionResultAsync(String, CancellationToken)
- Source:
- AnomalyDetectorClient.cs
Get Multivariate Anomaly Detection Result.
public virtual System.Threading.Tasks.Task<Azure.Response<Azure.AI.AnomalyDetector.MultivariateDetectionResult>> GetMultivariateBatchDetectionResultAsync (string resultId, System.Threading.CancellationToken cancellationToken = default);
abstract member GetMultivariateBatchDetectionResultAsync : string * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.Response<Azure.AI.AnomalyDetector.MultivariateDetectionResult>>
override this.GetMultivariateBatchDetectionResultAsync : string * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.Response<Azure.AI.AnomalyDetector.MultivariateDetectionResult>>
Public Overridable Function GetMultivariateBatchDetectionResultAsync (resultId As String, Optional cancellationToken As CancellationToken = Nothing) As Task(Of Response(Of MultivariateDetectionResult))
Parameters
- resultId
- String
ID of a batch detection result.
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Exceptions
resultId
is null.
resultId
is an empty string, and was expected to be non-empty.
Examples
This sample shows how to call GetMultivariateBatchDetectionResultAsync with required parameters.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new AnomalyDetectorClient(endpoint, credential);
var result = await client.GetMultivariateBatchDetectionResultAsync("<resultId>");
Remarks
For asynchronous inference, get a multivariate anomaly detection result based on the resultId value that the BatchDetectAnomaly API returns.
Applies to
Azure SDK for .NET