995de0f3992eb2bbc2c31b289f8d02149068dcaa,GPy/util/warping_functions.py,TanhWarpingFunction_d,f_inv,#TanhWarpingFunction_d#Any#Any#Any#,204

Before Change

        z = z.copy()
        if y is None:
            y = np.ones_like(z)

        it = 0
        update = np.inf

        while it == 0 or (np.abs(update).sum() > 1e-10 and it < max_iterations):
            update = (self.f(y) - z)/self.fgrad_y(y)
            y -= update
            it += 1
        if it == max_iterations:

After Change

        z = z.copy()
        if y is None:
            y = np.ones_like(z) * 0.1
            //y = np.zeros_like(z)

        it = 0
        update = np.inf
        //import ipdb; ipdb.set_trace()

        while it == 0 or (np.abs(update).sum() > 1e-10 and it < max_iterations):
            fy = self.f(y)
            fgrady = self.fgrad_y(y)
            update = (fy - z)/fgrady
            y -= update
            it += 1
            //print it

Instances