SupervisedAnomalyDetector¶
A supervised anomaly detector.
Methods¶
learn_one
Update the model.
Parameters
- x —
dict - y —
base.typing.Target
score_one
Return an outlier score.
A high score is indicative of an anomaly. A low score corresponds a normal observation.
Parameters
- x —
dict - y —
base.typing.Target
Returns
float: An anomaly score. A high score is indicative of an anomaly. A low score corresponds a