Function objective_function

parametric_fit.py:26–28

(params)

        return E + (A * 1e9 / (param_list * (np.log(p_list) * k + 1))) ** alpha

    def objective_function(params):
        pred = pred_loss(params)
        return huber_loss(np.log(loss_list), np.log(pred))

    best_param = None
    best_func = 1000000