ayo/ipex-llm
1
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 1
ipex-llm/docs/readthedocs/source/doc/Chronos/Overview/anomaly_detection.md
Junwei Deng ada7b4b978 Chronos: document regular update (#4241) 
* add information changes

* update typos

* add typo changes

* update documents

* update chronos.md

* add updates

* fix rst

* add speed-up md

* fix broken links and typos, add tutorials
2022-04-24 15:55:23 +08:00

2 KiB
Raw Blame History

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.

.. note:: 
     Users may install `scikit-learn-intelex` to accelerate this detector. Chronos will detect if `scikit-learn-intelex` is installed to decide if using it. More details please refer to: https://intel.github.io/scikit-learn-intelex/installation.html

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