Package com.azure.ai.anomalydetector.models
package com.azure.ai.anomalydetector.models
Package containing the data models for AnomalyDetector. 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.An optional field, indicating the manner to align multiple variables.Response of getting a model.Interpretation of the anomalous timestamp.Anomaly status and information.Detailed information of the anomalous timestamp.Correlation changes among the anomalous variables.Defines values for DataSchema.Diagnostics information to help inspect the states of model or variable.ErrorResponse contains code and message that shows the error information.Defines values for FillNAMethod.Defines values for ImputeMode.Training result of a model including its status, errors and diagnostics information.Model status.Defines values for ModelStatus.Detection request for batch inference.Multivariate anomaly detection status.Defines values for MultivariateBatchDetectionStatus.Detection results for the given resultId.Request of last detection.Results of last detection.Defines values for TimeGranularity.The definition of input timeseries points.The request of change point detection.The response of change point detection.The request of entire or last anomaly detection.The response of entire anomaly detection.The response of last anomaly detection.Variable Status.Variable values.