parameters: (self)
return_statement: return 0.5 * (rank * (_LOG_2PI + 1) + log_pdet)
docstring: Computes the differential entropy of the multivariate normal.
  
          Returns
          -------
          h : scalar
              Entropy of the multivariate normal distribution
docstring_summary: Computes the differential entropy of the multivariate normal.
docstring_tokens: Computes the differential entropy of the multivariate normal .
function: def entropy(self):
          """
          Computes the differential entropy of the multivariate normal.
  
          Returns
          -------
          h : scalar
              Entropy of the multivariate normal distribution
  
          """
          log_pdet = self.cov_info.log_pdet
          rank = self.cov_info.rank
          return 0.5 * (rank * (_LOG_2PI + 1) + log_pdet)
function_tokens: def entropy ( self ) : log_pdet = self . cov_info . log_pdet rank = self . cov_info . rank return 0.5 * ( rank * ( _LOG_2PI + 1 ) + log_pdet )