AnomalyDetectorClient.DetectUnivariateChangePoint Method
Definition
Important
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Overloads
DetectUnivariateChangePoint(UnivariateChangePointDetectionOptions, CancellationToken) |
Detect change point for the entire series. |
DetectUnivariateChangePoint(RequestContent, RequestContext) |
[Protocol Method] Detect change point for the entire series
|
DetectUnivariateChangePoint(UnivariateChangePointDetectionOptions, CancellationToken)
- Source:
- AnomalyDetectorClient.cs
Detect change point for the entire series.
public virtual Azure.Response<Azure.AI.AnomalyDetector.UnivariateChangePointDetectionResult> DetectUnivariateChangePoint (Azure.AI.AnomalyDetector.UnivariateChangePointDetectionOptions options, System.Threading.CancellationToken cancellationToken = default);
abstract member DetectUnivariateChangePoint : Azure.AI.AnomalyDetector.UnivariateChangePointDetectionOptions * System.Threading.CancellationToken -> Azure.Response<Azure.AI.AnomalyDetector.UnivariateChangePointDetectionResult>
override this.DetectUnivariateChangePoint : Azure.AI.AnomalyDetector.UnivariateChangePointDetectionOptions * System.Threading.CancellationToken -> Azure.Response<Azure.AI.AnomalyDetector.UnivariateChangePointDetectionResult>
Public Overridable Function DetectUnivariateChangePoint (options As UnivariateChangePointDetectionOptions, Optional cancellationToken As CancellationToken = Nothing) As Response(Of UnivariateChangePointDetectionResult)
Parameters
Method of univariate anomaly detection.
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Exceptions
options
is null.
Examples
This sample shows how to call DetectUnivariateChangePoint with required parameters.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new AnomalyDetectorClient(endpoint, credential);
var options = new UnivariateChangePointDetectionOptions(new TimeSeriesPoint[]
{
new TimeSeriesPoint(3.14f)
{
Timestamp = DateTimeOffset.UtcNow,
}
}, TimeGranularity.Yearly)
{
CustomInterval = 1234,
Period = 1234,
StableTrendWindow = 1234,
Threshold = 3.14f,
};
var result = client.DetectUnivariateChangePoint(options);
Remarks
Evaluate the change point score of every series point.
Applies to
DetectUnivariateChangePoint(RequestContent, RequestContext)
- Source:
- AnomalyDetectorClient.cs
[Protocol Method] Detect change point for the entire series
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler DetectUnivariateChangePoint(UnivariateChangePointDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
public virtual Azure.Response DetectUnivariateChangePoint (Azure.Core.RequestContent content, Azure.RequestContext context = default);
abstract member DetectUnivariateChangePoint : Azure.Core.RequestContent * Azure.RequestContext -> Azure.Response
override this.DetectUnivariateChangePoint : Azure.Core.RequestContent * Azure.RequestContext -> Azure.Response
Public Overridable Function DetectUnivariateChangePoint (content As RequestContent, Optional context As RequestContext = Nothing) As Response
Parameters
- content
- RequestContent
The content to send as the body of the request.
- 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
content
is null.
Service returned a non-success status code.
Examples
This sample shows how to call DetectUnivariateChangePoint with required request content, and how to parse the result.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new AnomalyDetectorClient(endpoint, credential);
var data = new {
series = new[] {
new {
value = 123.45f,
}
},
granularity = "yearly",
};
Response response = client.DetectUnivariateChangePoint(RequestContent.Create(data));
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.ToString());
This sample shows how to call DetectUnivariateChangePoint with all request content, and how to parse the result.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new AnomalyDetectorClient(endpoint, credential);
var data = new {
series = new[] {
new {
timestamp = "2022-05-10T14:57:31.2311892-04:00",
value = 123.45f,
}
},
granularity = "yearly",
customInterval = 1234,
period = 1234,
stableTrendWindow = 1234,
threshold = 123.45f,
};
Response response = client.DetectUnivariateChangePoint(RequestContent.Create(data), new RequestContext());
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("period").ToString());
Console.WriteLine(result.GetProperty("isChangePoint")[0].ToString());
Console.WriteLine(result.GetProperty("confidenceScores")[0].ToString());
Remarks
Evaluate change point score of every series point
Below is the JSON schema for the request and response payloads.
Request Body:
Schema for UnivariateChangePointDetectionOptions
:
{
series: [
{
timestamp: string (date & time), # Optional.
value: number, # Required.
}
], # Required.
granularity: "yearly" | "monthly" | "weekly" | "daily" | "hourly" | "minutely" | "secondly" | "microsecond" | "none", # Required.
customInterval: number, # Optional.
period: number, # Optional.
stableTrendWindow: number, # Optional.
threshold: number, # Optional.
}
Response Body:
Schema for UnivariateChangePointDetectionResult
:
{
period: number, # Optional.
isChangePoint: [boolean], # Optional.
confidenceScores: [number], # Optional.
}
Applies to
Azure SDK for .NET