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5 """The database model for an "Anomaly", which represents a step up or down."""
16 # Possible improvement directions for a change. An Anomaly will always have a
21 class Anomaly(alert.Alert):
24 An Anomaly can be an upward or downward change, and can represent an
27 # The number of points before and after this anomaly that were looked at
28 # when finding this anomaly.
32 # The medians of the segments before and after the anomaly.
36 # The standard deviation of the segments before the anomaly.
43 # In order to estimate how likely it is that this anomaly is due to noise,
50 # Whether this anomaly represents an improvement; if false, this anomaly is
54 # Whether this anomaly recovered (i.e. if this is a step down, whether there
60 """The percent change from before the anomaly to after."""