'Initializes sufficient statistics required for M-step.
The method is *pure*, meaning that it doesn\'t change the state of
the instance.  For extensibility computed statistics are stored
in a dictionary.
Returns
nobs : int
Number of samples in the data.
start : array, shape (n_components, )
An array where the i-th element corresponds to the posterior
probability of the first sample being generated by the i-th
state.
trans : array, shape (n_components, n_components)
An array where the (i, j)-th element corresponds to the
posterior probability of transitioning between the i-th to j-th
states.'

def _initialize_sufficient_statistics(self):

    stats = {'nobs': 0, 'start': np.zeros(self.n_components), 'trans': np.zeros((self.n_components, self.n_components))}
    return stats
