Package com.azure.ai.anomalydetector
package com.azure.ai.anomalydetector
Package containing the classes 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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ClassDescriptionInitializes a new instance of the asynchronous AnomalyDetectorClient type.Initializes a new instance of the synchronous AnomalyDetectorClient type.A builder for creating a new instance of the AnomalyDetectorClient type.Service version of AnomalyDetectorClient.