def samples(self, gp, Y_metadata=None):
        """
        Returns a set of samples of observations based on a given value of the latent variable.

        :param gp: latent variable
        """
        orig_shape = gp.shape
        gp = gp.flatten()
        #orig_shape = gp.shape
        gp = gp.flatten()
        Ysim = np.array([np.random.normal(self.gp_link.transf(gpj), scale=np.sqrt(self.variance), size=1) for gpj in gp])
        return Ysim.reshape(orig_shape)
Returns a set of samples of observations based on a given value of the latent variable.

        :param gp: latent variable