89916ad724ae88ebb4c1af3d65919b87b318f180,pymc3/distributions/continuous.py,Lognormal,logcdf,#Lognormal#Any#,1895

Before Change

        sigma = self.sigma
        z = zvalue(tt.log(value), mu=mu, sigma=sigma)

        return tt.switch(
            tt.le(value, 0),
            -np.inf,
            tt.switch(
                tt.lt(z, -1.0),
                tt.log(tt.erfcx(-z / tt.sqrt(2.0)) / 2.0) - tt.sqr(z) / 2,
                tt.log1p(-tt.erfc(z / tt.sqrt(2.0)) / 2.0),
            ),
        )


class StudentT(Continuous):
    r

After Change

        sigma = self.sigma
        tau = self.tau

        return bound(
            normal_lcdf(mu, sigma, tt.log(value)),
            0 < value,
            0 < tau,
        )


class StudentT(Continuous):
    r

Instances