'how to detect anomalies for multiple time series?
I have about 1000 time series each time series is a record of an api latency i want to detect anoamlies for all the time series. Should I create a for loop to train one model(LSTM-Autoencoder) per api(per one time series) ? Or is there a way to fit one model that can detect anomalies for all the time series ?
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