code: def _compute_log_likelihood(self, X):
      return log_multivariate_normal_density(
          X, self.means_, self._covars_, self.covariance_type
      )
  
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 2 for calling the BaseGaussianHMM obj's underlying member method code with example usage: obj._compute_log_likelihood(X) and returns: log_multivariate_normal_density