Python sklearn.model#u选择'；KFold'；对象是不可编辑的

我对以下代码有问题

这就是代码

# simulate splitting a dataset of 25 observations into 5 folds
from sklearn.model_selection import KFold
kf = KFold(n_splits=5, random_state=None, shuffle=False)

# print the contents of each training and testing set
print('{} {:^61} {}'.format('Iteration', 
                            'Training set observations', 
                            'Testing set observations'))
for iteration, data in enumerate(kf, start=1):
    print('{:^9} {} {!s:^25}'.format(iteration, data[0], data[1]))

TypeError:“KFold”对象不可编辑

TypeError                                 Traceback (most recent call last)
<ipython-input-21-13995db0f7c7> in <module>()
        5 # print the contents of each training and testing set
        6 print('{} {:^61} {}'.format('Iteration', 'Training set 
observations', 'Testing set observations'))
  ----> 7 for iteration, data in enumerate(kf, start=1):
        8     print('{:^9} {} {!s:^25}'.format(iteration, data[0], data[1]))

TypeError: 'KFold' object is not iterable

TypeError回溯（最近一次调用）
在（）
5#打印每个培训和测试集的内容
6打印（{}{：^61}{}）。格式（'Iteration'，'Training set
观察值（“测试集观察值”）
---->7对于迭代，枚举中的数据（kf，start=1）：
8打印（{：^9}{}{！s:^25}）。格式（迭代，数据[0]，数据[1]））
TypeError:“KFold”对象不可编辑

类“交叉验证”中有一个参数“y”（样本以K倍分割）：

类sklearn.cross_validation.StratifiedKFold（y，n_fold=3，shuffle=False，random_state=None）[来源]

在类模型_选择中，此参数对我来说不够

# simulate splitting a dataset of 25 observations into 5 folds
from sklearn.model_selection import KFold
kf = KFold(n_splits=5, random_state=None, shuffle=False)
Vec = np.arange(0,26)
# print the contents of each training and testing set
print('{} {:^61} {}'.format('Iteration', 
                            'Training set observations', 
                            'Testing set observations'))
for iteration, data in enumerate(kf.split(Vec), start=1):
   print('{:^9} {} {!s:^25}'.format(iteration, data[0], data[1]))

---

原始代码中唯一需要的更改是

kf.split（X）

，而不仅仅是

kf

。