tensorflow_probability/python/distributions/wishart.py
def mean_log_det(self, name="mean_log_det"):
    """Computes E[log(det(X))] under this Wishart distribution."""
    with self._name_scope(name):
      return (self._multi_digamma(0.5 * self.df, self.dimension) +
              self.dimension * math.log(2.) +
              2 * self.scale_operator.log_abs_determinant())
def mean_log_det(self, name="mean_log_det"):
    """Computes E[log(det(X))] under this Wishart distribution."""
    with self._name_scope(name):
      return (self._multi_digamma(0.5 * self.df, self.dimension) +
              self.dimension * math.log(2.) +
              2 * self.scale_operator.log_abs_determinant())
def mean_log_det ( self , name = "mean_log_det" ) : with self . _name_scope ( name ) : return ( self . _multi_digamma ( 0.5 * self . df , self . dimension ) + self . dimension * math . log ( 2. ) + 2 * self . scale_operator . log_abs_determinant ( ) )
Computes E[log(det(X))] under this Wishart distribution.
Computes E [ log ( det ( X )) ] under this Wishart distribution .