'Find most likely state sequence corresponding to ``X``.
Parameters
X : array-like, shape (n_samples, n_features)
Feature matrix of individual samples.
lengths : array-like of integers, shape (n_sequences, ), optional
Lengths of the individual sequences in ``X``. The sum of
these should be ``n_samples``.
Returns
state_sequence : array, shape (n_samples, )
Labels for each sample from ``X``.'

def predict(self, X, lengths=None):

    (_, state_sequence) = self.decode(X, lengths)
    return state_sequence
