keras-anomaly-detection
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What happens if the observation of time series is an array
Demo example for credit card has train_data shape: (284807,29) If I am not mistaken, 29 is the timestep here (and not the number of the values in the observation)?
I have my data in shape (samples, timesteps, values) can I still use keras anomaly detection?