Package com.azure.ai.anomalydetector
Package containing the classes 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 AnomalyDetectorAsyncClient Initializes a new instance of the asynchronous AnomalyDetectorClient type.AnomalyDetectorClient Initializes a new instance of the synchronous AnomalyDetectorClient type.AnomalyDetectorClientBuilder A builder for creating a new instance of the AnomalyDetectorClient type.