403b8569ce3c27485252db5ed102bc346c467be9,PyMC2/tests/test_norm_approx.py,test_norm_approx,check_draws,#test_norm_approx#,35

Before Change

            draws.append(hstack((N.A.value, N.B.value)))
        draws = array(draws)

        empirical_cov = cov(draws.T)
        empirical_mean = mean(draws,axis=0)
        
        assert((abs(empirical_mean)<.25).all())
        assert((abs(empirical_cov - N._C)<.25).all())

After Change

            N.draw()
            draws.append(hstack((N.alpha.value, N.beta.value)))
        draws = array(draws)
        plot(draws[:,0],draws[:,1],"k.")
        xlabel(r"$\alpha$")
        ylabel(r"$\beta$")
        

Instances