docstr: Whhether the sufficient statistics needed to update the covariances are
  updated during calls to `fit`.
code: def _needs_sufficient_statistics_for_covars(self):
      """
      Whhether the sufficient statistics needed to update the covariances are
      updated during calls to `fit`.
      """
      raise NotImplementedError("Must be overriden in subclass")
  
imports: import functools
  import inspect
  import warnings
  import numpy
  from scipy import special
  from scipy.stats import multinomial, poisson
  from sklearn.utils import check_random_state
  from .base import BaseHMM, _AbstractHMM
  from .stats import log_multivariate_normal_density
  from .utils import fill_covars, log_normalize
label_desc: Use image node_id 6 for calling the BaseGaussianHMM obj's underlying member method code with example usage: obj._needs_sufficient_statistics_for_covars() without return types