Versions (relevant - OpenSearch/Dashboard/Server OS/Browser): 2.17.1
Hi all,
Looking for clarification on the anomaly detection implementation. My logs are retained for 30 days, so I am unsure if the model is still ‘trained’ on these data points after they are purged. I was unable to find a clear answer in the docs - any help is appreciated. Thanks!
HI @jddelg ,
No this will be fine. It will train on new data and keep it’s state, so when old data is purged it will not cause it to stop working.
More can be read here - Anomaly detection - OpenSearch Documentation but in short it will work of incoming data rather than historical data.
Leeroy.
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