tensorflow_probability/python/distributions/wishart.py
def log_normalization(self, name="log_normalization"):
    """Computes the log normalizing constant, log(Z)."""
    with self._name_scope(name):
      return (self.df * self.scale_operator.log_abs_determinant() +
              0.5 * self.df * self.dimension * math.log(2.) +
              self._multi_lgamma(0.5 * self.df, self.dimension))
def log_normalization(self, name="log_normalization"):
    """Computes the log normalizing constant, log(Z)."""
    with self._name_scope(name):
      return (self.df * self.scale_operator.log_abs_determinant() +
              0.5 * self.df * self.dimension * math.log(2.) +
              self._multi_lgamma(0.5 * self.df, self.dimension))
def log_normalization ( self , name = "log_normalization" ) : with self . _name_scope ( name ) : return ( self . df * self . scale_operator . log_abs_determinant ( ) + 0.5 * self . df * self . dimension * math . log ( 2. ) + self . _multi_lgamma ( 0.5 * self . df , self . dimension ) )
Computes the log normalizing constant, log(Z).
Computes the log normalizing constant log ( Z ) .