original_docstring:  Calculate assignment entropy term of the ELBO objective.
  
          Returns
          -------
          Hvec : 1D array, size K
              Hvec[k] = \sum_{n=1}^N H[q(z_n)]
          
docstring: Calculate assignment entropy term of the ELBO objective.
  Returns
  
  
docstring_tokens: Calculate assignment entropy term of the ELBO objective . Returns
code: def L_entropy(self, Data, LP, returnVector=1):
          ''' Calculate assignment entropy term of the ELBO objective.
  
          Returns
          -------
          Hvec : 1D array, size K
              Hvec[k] = \sum_{n=1}^N H[q(z_n)]
          '''
          return L_entropy(Data, LP, returnVector=returnVector)
code_tokens: def L_entropy ( self , Data , LP , returnVector = 1 ) : return L_entropy ( Data , LP , returnVector = returnVector )
short_docstring: Calculate assignment entropy term of the ELBO objective.
short_docstring_tokens: Calculate assignment entropy term of the ELBO objective .
comment: ''' Calculate assignment entropy term of the ELBO objective.
  
          Returns
          -------
          Hvec : 1D array, size K
              Hvec[k] = \sum_{n=1}^N H[q(z_n)]
          '''