Searched refs:anomaly_locations (Results 1 – 2 of 2) sorted by relevance
137 anomaly_locations = []142 anomaly_locations.append(int(row["time"]))143 anomaly_locations.append(predictions["times"][49])145 anomaly_locations)149 upper_limit, lower_limit, anomaly_locations): argument154 pyplot.axvline(anomaly_locations[0], linestyle="dotted", label="changepoints")155 for anomaly_location in anomaly_locations[1:]:
30 anomaly_locations) = known_anomaly.train_and_evaluate_exogenous(33 anomaly_locations,42 anomaly_locations) = known_anomaly.train_and_evaluate_exogenous(45 anomaly_locations,