brier_score.py 文件源码

def __call__(self, y_true_proba, y_proba):
        climo = np.ones(y_true_proba.size) * y_true_proba.mean()
        bs = brier_score_loss(y_true_proba, y_proba)
        bs_c = brier_score_loss(y_true_proba, climo)
        return 1 - bs / bs_c