AnomalyDetectorClient Class

Reference

Definition

Namespace:: Azure.AI.AnomalyDetector

Assembly:: Azure.AI.AnomalyDetector.dll

Package:: Azure.AI.AnomalyDetector v3.0.0-preview.7

Source:: AnomalyDetectorClient.cs

Important

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The AnomalyDetector service client.

public class AnomalyDetectorClient

type AnomalyDetectorClient = class

Public Class AnomalyDetectorClient

Inheritance: Object
AnomalyDetectorClient

Constructors

AnomalyDetectorClient()	Initializes a new instance of AnomalyDetectorClient for mocking.
AnomalyDetectorClient(Uri, AzureKeyCredential, AnomalyDetectorClientOptions)	Initializes a new instance of AnomalyDetectorClient.
AnomalyDetectorClient(Uri, AzureKeyCredential)	Initializes a new instance of AnomalyDetectorClient.

Properties

Pipeline

The HTTP pipeline for sending and receiving REST requests and responses.

Methods

DeleteMultivariateModel(String, RequestContext)	[Protocol Method] Delete Multivariate Model This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
DeleteMultivariateModelAsync(String, RequestContext)	[Protocol Method] Delete Multivariate Model This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
DetectMultivariateBatchAnomaly(String, MultivariateBatchDetectionOptions, CancellationToken)	Detect Multivariate Anomaly.
DetectMultivariateBatchAnomaly(String, RequestContent, RequestContext)	[Protocol Method] Detect Multivariate Anomaly This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectMultivariateBatchAnomaly(String, MultivariateBatchDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectMultivariateBatchAnomalyAsync(String, MultivariateBatchDetectionOptions, CancellationToken)	Detect Multivariate Anomaly.
DetectMultivariateBatchAnomalyAsync(String, RequestContent, RequestContext)	[Protocol Method] Detect Multivariate Anomaly This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectMultivariateBatchAnomalyAsync(String, MultivariateBatchDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectMultivariateLastAnomaly(String, MultivariateLastDetectionOptions, CancellationToken)	Detect anomalies in the last point of the request body.
DetectMultivariateLastAnomaly(String, RequestContent, RequestContext)	[Protocol Method] Detect anomalies in the last point of the request body This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectMultivariateLastAnomaly(String, MultivariateLastDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectMultivariateLastAnomalyAsync(String, MultivariateLastDetectionOptions, CancellationToken)	Detect anomalies in the last point of the request body.
DetectMultivariateLastAnomalyAsync(String, RequestContent, RequestContext)	[Protocol Method] Detect anomalies in the last point of the request body This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectMultivariateLastAnomalyAsync(String, MultivariateLastDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectUnivariateChangePoint(RequestContent, RequestContext)	[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.
DetectUnivariateChangePoint(UnivariateChangePointDetectionOptions, CancellationToken)	Detect change point for the entire series.
DetectUnivariateChangePointAsync(RequestContent, RequestContext)	[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 DetectUnivariateChangePointAsync(UnivariateChangePointDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectUnivariateChangePointAsync(UnivariateChangePointDetectionOptions, CancellationToken)	Detect change point for the entire series.
DetectUnivariateEntireSeries(RequestContent, RequestContext)	[Protocol Method] Detect anomalies for the entire series in batch. This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectUnivariateEntireSeries(UnivariateDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectUnivariateEntireSeries(UnivariateDetectionOptions, CancellationToken)	Detect anomalies for the entire series in batch.
DetectUnivariateEntireSeriesAsync(RequestContent, RequestContext)	[Protocol Method] Detect anomalies for the entire series in batch. This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectUnivariateEntireSeriesAsync(UnivariateDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectUnivariateEntireSeriesAsync(UnivariateDetectionOptions, CancellationToken)	Detect anomalies for the entire series in batch.
DetectUnivariateLastPoint(RequestContent, RequestContext)	[Protocol Method] Detect anomaly status of the latest point in time series. This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectUnivariateLastPoint(UnivariateDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectUnivariateLastPoint(UnivariateDetectionOptions, CancellationToken)	Detect anomaly status of the latest point in time series.
DetectUnivariateLastPointAsync(RequestContent, RequestContext)	[Protocol Method] Detect anomaly status of the latest point in time series. This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler DetectUnivariateLastPointAsync(UnivariateDetectionOptions, CancellationToken) convenience overload with strongly typed models first.
DetectUnivariateLastPointAsync(UnivariateDetectionOptions, CancellationToken)	Detect anomaly status of the latest point in time series.
GetMultivariateBatchDetectionResult(String, CancellationToken)	Get Multivariate Anomaly Detection Result.
GetMultivariateBatchDetectionResult(String, RequestContext)	[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 GetMultivariateBatchDetectionResult(String, CancellationToken) convenience overload with strongly typed models first.
GetMultivariateBatchDetectionResultAsync(String, CancellationToken)	Get Multivariate Anomaly Detection Result.
GetMultivariateBatchDetectionResultAsync(String, RequestContext)	[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.
GetMultivariateModel(String, CancellationToken)	Get Multivariate Model.
GetMultivariateModel(String, RequestContext)	[Protocol Method] Get Multivariate Model This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler GetMultivariateModel(String, CancellationToken) convenience overload with strongly typed models first.
GetMultivariateModelAsync(String, CancellationToken)	Get Multivariate Model.
GetMultivariateModelAsync(String, RequestContext)	[Protocol Method] Get Multivariate Model This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler GetMultivariateModelAsync(String, CancellationToken) convenience overload with strongly typed models first.
GetMultivariateModels(Nullable<Int32>, Nullable<Int32>, CancellationToken)	List Multivariate Models.
GetMultivariateModels(Nullable<Int32>, Nullable<Int32>, RequestContext)	[Protocol Method] List Multivariate Models This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler GetMultivariateModels(Nullable<Int32>, Nullable<Int32>, CancellationToken) convenience overload with strongly typed models first.
GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, CancellationToken)	List Multivariate Models.
GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, RequestContext)	[Protocol Method] List Multivariate Models This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, CancellationToken) convenience overload with strongly typed models first.
TrainMultivariateModel(ModelInfo, CancellationToken)	Train a Multivariate Anomaly Detection Model.
TrainMultivariateModel(RequestContent, RequestContext)	[Protocol Method] Train a Multivariate Anomaly Detection Model This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler TrainMultivariateModel(ModelInfo, CancellationToken) convenience overload with strongly typed models first.
TrainMultivariateModelAsync(ModelInfo, CancellationToken)	Train a Multivariate Anomaly Detection Model.
TrainMultivariateModelAsync(RequestContent, RequestContext)	[Protocol Method] Train a Multivariate Anomaly Detection Model This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. Please try the simpler TrainMultivariateModelAsync(ModelInfo, CancellationToken) convenience overload with strongly typed models first.

Applies to

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