def pdf(self, mu):
        """
        PDF for Exponential prior

        Parameters
        ----------
        mu : float
            Latent variable for which the prior is being formed over

        Returns
        ----------
        - p(mu)
        """
        if self.transform is not None:
            mu = self.transform(mu)                
        return ss.expon.pdf(mu, self.lmd0)
def pdf ( self , mu ) : if self . transform is not None : mu = self . transform ( mu ) return ss . expon . pdf ( mu , self . lmd0 )
PDF for Exponential prior

        Parameters
        ----------
        mu : float
            Latent variable for which the prior is being formed over

        Returns
        ----------
        - p(mu)