eval_utils.py 文件源码

def getConfidenceInterval(data, percent=0.95, distribution="t"):
    n, min_max, mean, var, skew, kurt = stats.describe(data)
    std = np.sqrt(var)
    if distribution == "t":
        R = stats.t.interval(percent, len(data) - 1, loc=mean,
                             scale=std / math.sqrt(len(data)))
    else:
        R = stats.norm.interval(
            percent, loc=mean, scale=std / math.sqrt(len(data)))
    error = (R[1] - R[0]) / 2
    return mean, error