Package com.azure.ai.anomalydetector.models
package com.azure.ai.anomalydetector.models
Package containing the data models for AnomalyDetectorClient. The Anomaly Detector API detects anomalies
automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful
using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model
trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint
Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time
series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by
only giving a time range without preparing time series in client side. Besides the above three functionalities,
stateful model also provide group based detection and labeling service. By leveraging labeling service user can
provide labels for each detection result, these labels will be used for retuning or regenerating detection models.
Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of
time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow
for root cause analysis.
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ClassDescriptionDefines values for AlignMode.The AlignPolicy model.Error information returned by the API.Defines values for AnomalyDetectorErrorCodes.Exception thrown for an invalid response with AnomalyDetectorError information.The AnomalyInterpretation model.The AnomalyState model.The AnomalyValue model.The request of change point detection.The response of change point detection.The CorrelationChanges model.The DetectAnomalyHeaders model.Contains all response data for the detectAnomaly operation.Detection request.Response of the given resultId.The DetectionResultSummary model.Defines values for DetectionStatus.The request of entire or last anomaly detection.The DiagnosticsInfo model.The response of entire anomaly detection.The ErrorResponse model.Exception thrown for an invalid response with ErrorResponse information.Defines values for FillNaMethod.Defines values for ImputeMode.The LastDetectionRequest model.The LastDetectionResult model.The response of last anomaly detection.Response of getting a model.Train result of a model including status, errors and diagnose info for model and variables.Response of listing models.The ModelSnapshot model.The ModelState model.Defines values for ModelStatus.Defines values for TimeGranularity.The definition of input timeseries points.The TrainMultivariateModelHeaders model.Contains all response data for the trainMultivariateModel operation.The VariableState model.The VariableValues model.