Hi again,
I've been fooling around the Anomaly detection sample code by Subutai using
TemporalAnomaly, which seems absolutely awesome! I just wanted to know how it
compared with standard models for anomaly detection like Holt Winters, other
variations of Moving Average and the lot. Does it score higher on accuracy? Or
is it more computationally efficient? Or maybe it can learn more than one
pattern?
Thanks!
Regards,
Omair S
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