350497c72606f188f83b68588140f0058190559b,GPy/examples/dimensionality_reduction.py,,mrd_simulation,#Any#,102

Before Change

    Y2 += .1 * np.random.randn(*Y2.shape)
    Y3 += .1 * np.random.randn(*Y3.shape)

    Y1 -= Y1.mean(0)
    Y2 -= Y2.mean(0)
    Y3 -= Y3.mean(0)
    Y1 /= Y1.std(0)
    Y2 /= Y2.std(0)
    Y3 /= Y3.std(0)

    Slist = [s1, s2, sS]

After Change

    m.ensure_default_constraints()

    for i, Y in enumerate(Ylist):
        m.set("{}_noise".format(i + 1), Y.var() / 100.)

//     import ipdb;ipdb.set_trace()
    cstr = "variance"

Instances