7a31475bb139893cd3fd2bd1dbc33d040a0511c8,pymc3/distributions/multivariate.py,MvNormal,_logp_tau,#MvNormal#Any#,114

Before Change

    def _logp_tau(self, value):
        chol_tau = self.chol_tau
        k = chol_tau.shape[0]

        mu = self.mu
        delta = value.reshape((-1, k)) - mu
        delta_trans = tt.dot(chol_tau.T, delta.T)

After Change

        diag = tt.nlinalg.diag(chol_tau)
        delta_trans = tt.dot(chol_tau.T, delta.T)

        result = n * k * tt.log(2 * np.pi)
        result -= 2.0 * n * tt.sum(tt.log(diag))
        result += (delta_trans ** 2).sum()
        result = -0.5 * result
        return bound(result, ok)


class MvStudentT(Continuous):
    R

Instances