def detect_anomalies(self, data, **params):
envelope = EllipticEnvelope()
envelope.set_params(**params)
envelope.fit(data)
# TODO: decision function has other range than that of IsolationForest
return envelope.decision_function(
data) # The anomaly score. The lower, the more abnormal.
