(self, theta)
return sps.lognorm.logpdf(theta, self.sigma, loc=self.mean)
Returns the log probability of theta. Note: theta should
        be on a log scale.

        Parameters
        ----------
        theta : (D,) numpy array
            A hyperparameter configuration in log space.

        Returns
        -------
        float
            The log probability of theta
Returns the log probability of theta. Note: theta should
        be on a log scale.
Returns the log probability of theta . Note : theta should be on a log scale .
def lnprob(self, theta):
        """
        Returns the log probability of theta. Note: theta should
        be on a log scale.

        Parameters
        ----------
        theta : (D,) numpy array
            A hyperparameter configuration in log space.

        Returns
        -------
        float
            The log probability of theta
        """

        return sps.lognorm.logpdf(theta, self.sigma, loc=self.mean)
def lnprob ( self , theta ) : return sps . lognorm . logpdf ( theta , self . sigma , loc = self . mean )