mlnext.anomaly

Module for analyzing anomalies.

Functions

apply_point_adjust	Implements the point-adjust approach from https://arxiv.org/abs/1802.03903 and its variation from https://arxiv.org/abs/2109.05257 (parameter k).
apply_point_adjust_score	Implements the point-adjust approach from https://arxiv.org/pdf/1802.03903.pdf and its variation from https://arxiv.org/abs/2109.05257 (parameter k) for prediction scores.
find_anomalies	Finds continuous segments of anomalies and returns a list of tuple with the start end end index of each anomaly.
rank_features	Finds the anomalies in y and calculates the feature-wise error for each anomaly.
recall_anomalies	Calculates the percentage of anomaly segments that are correctly detected.