我正在尝试创建一个Plotly图表，用于绘制每个epoch的F1分数。我有一个计算F1分数的函数，但有时我的模型在随机的epoch上会导致召回率和精确率变为零。这意味着整个F1分数会变成零。我该如何解决这个问题？有没有一个占位值我可以使用，或者那部分图表是否会直接显示为零？我该如何在Python中编写这个？

代码：

precision_nums = [0.5146262049674988,                  0.6140350699424744, 0.0, 0.6796116232872009, 0.5716332197189331, 0.7028985619544983,                  0.7329059839248657, 0.7030965685844421, 0.709796667098999, 0.6807432174682617, 0.708791196346283,                  0.7094972133636475, 0.7105262875556946, 0.7118958830833435, 0.7184466123580933, 0.7184466123580933,                  0.7025089859962463]recall_nums = [0.5146262049674988,               0.6140350699424744, 0.0, 0.6796116232872009, 0.5716332197189331, 0.7028985619544983,               0.7329059839248657, 0.7030965685844421, 0.709796667098999, 0.6807432174682617, 0.708791196346283,               0.7094972133636475, 0.7105262875556946, 0.7118958830833435, 0.7184466123580933, 0.7184466123580933,               0.7025089859962463]def f1_score_computation(precision, recall):    f1_score_list = []    for (precision_score, recall_score) in zip(precision, recall):        f1_score_list.append(2 * ((precision_score * recall_score) / (precision_score + recall_score)))    return f1_score_listf1_score_computation(precision_nums, recall_nums)

回答：

你可以自己处理这个异常。

def f1_score_computation(precision, recall):    f1_score_list = []    for (precision_score, recall_score) in zip(precision, recall):        try:            f1_score_list.append(2 * ((precision_score * recall_score) / (precision_score + recall_score)))        except ZeroDivisionError:            f1_score_list.append(np.nan)    return f1_score_list

当遇到除以零的情况时，这将返回np.nan。绘图库可以很好地处理nan。