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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Class Summary Class Description AlignPolicy The AlignPolicy model.AnomalyDetectorError Error information returned by the API.AnomalyDetectorErrorCodes Defines values for AnomalyDetectorErrorCodes.AnomalyInterpretation The AnomalyInterpretation model.AnomalyState The AnomalyState model.AnomalyValue The AnomalyValue model.ChangePointDetectRequest The request of change point detection.ChangePointDetectResponse The response of change point detection.CorrelationChanges The CorrelationChanges model.DetectAnomalyHeaders The DetectAnomalyHeaders model.DetectAnomalyResponse Contains all response data for the detectAnomaly operation.DetectionRequest Detection request.DetectionResult Response of the given resultId.DetectionResultSummary The DetectionResultSummary model.DetectRequest The request of entire or last anomaly detection.DiagnosticsInfo The DiagnosticsInfo model.EntireDetectResponse The response of entire anomaly detection.ErrorResponse The ErrorResponse model.FillNaMethod Defines values for FillNaMethod.ImputeMode Defines values for ImputeMode.LastDetectionRequest The LastDetectionRequest model.LastDetectionResult The LastDetectionResult model.LastDetectResponse The response of last anomaly detection.Model Response of getting a model.ModelInfo Train result of a model including status, errors and diagnose info for model and variables.ModelList Response of listing models.ModelSnapshot The ModelSnapshot model.ModelState The ModelState model.TimeSeriesPoint The definition of input timeseries points.TrainMultivariateModelHeaders The TrainMultivariateModelHeaders model.TrainMultivariateModelResponse Contains all response data for the trainMultivariateModel operation.VariableState The VariableState model.VariableValues The VariableValues model. -
Enum Summary Enum Description AlignMode Defines values for AlignMode.DetectionStatus Defines values for DetectionStatus.ModelStatus Defines values for ModelStatus.TimeGranularity Defines values for TimeGranularity. -
Exception Summary Exception Description AnomalyDetectorErrorException Exception thrown for an invalid response with AnomalyDetectorError information.ErrorResponseException Exception thrown for an invalid response with ErrorResponse information.