joeybordon

for curr in range(max_anomalies): test_idx, test_val = calculate_test_statistic(ts, hybrid=hybrid) critical_val = calculate_critical_value(len(ts) - curr, alpha) if test_val > critical_val: num_outliers = curr test_statistics.append(test_idx) ts[test_idx] = np.ma.masked # Mask this index...