Is it possible to run a ML analytic job on an index that has static data or streaming data?
Anomaly Detection jobs run on both static or streaming data, but require the element of time (data needs to be time-series).
DFA is supervised ML, you train a model on static, marked-up data and then can use it on live ingested data using inference.
Thank you, this was the answer I was looking for.
This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.