> Is anomaly detection not a timeseries classification, which they do implement
It can be a time series classification if and only if you have labels that say a given sample is an anomaly. But then what if it runs for a while and a new kind of anomaly starts happening that it’s never seen before and isn’t in the training set: will it detect it based on your labels?
Ideally anomaly detection should be a more unsupervised learning scenario where it can automatically determine what’s normal and what’s not.
It can be a time series classification if and only if you have labels that say a given sample is an anomaly. But then what if it runs for a while and a new kind of anomaly starts happening that it’s never seen before and isn’t in the training set: will it detect it based on your labels?
Ideally anomaly detection should be a more unsupervised learning scenario where it can automatically determine what’s normal and what’s not.