code: def _compute_likelihood(self, X):
      if X.shape[1] != 1:
          warnings.warn(
              "Inputs of shape other than (n_samples, 1) are "
              "deprecated.",
              DeprecationWarning,
          )
          X = np.concatenate(X)[:, None]
      return self.emissionprob_[:, X.squeeze(1)].T
  
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 4 for calling the BaseCategoricalHMM obj's underlying member method code with example usage: obj._compute_likelihood(X) and returns: self