def read(fname):
    return open(os.path.join(os.path.dirname(__file__), fname)).read()
def _cost_gp(self,x):
        """
        Predicts the time cost of evaluating the function at x.
        """
        m, _, _, _ = self.cost_model.predict_withGradients(x)
        return np.exp(m)