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Junwei Deng 49af13e215 Chronos: user guide revision/update (#3220) 
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Time Series Anomaly Detection Overview

Anomaly Detection detects abnormal samples in a given time series. Chronos provides a set of unsupervised anomaly detectors.

View some examples notebooks for Datacenter AIOps.

1. ThresholdDetector

ThresholdDetector detects anomaly based on threshold. It can be used to detect anomaly on a given time series (notebook), or used together with Forecasters to detect anomaly on new coming samples (notebook).

View ThresholdDetector API Doc for more details.

2. AEDetector

AEDetector detects anomaly based on the reconstruction error of an autoencoder network.

View anomaly detection notebook and AEDetector API Doc for more details.

3. DBScanDetector

DBScanDetector uses DBSCAN clustering algortihm for anomaly detection.

View anomaly detection notebook and DBScanDetector API Doc for more details.