sklearn.model_selection 'KFold' オブジェクトは、私は次のコード</p> <p>このコードに問題がある

Question

を反復可能なされていない

# 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])) 

はTypeError： 'KFold' オブジェクトが反復可能ではありません

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 

Answer 1

"cross_validation"クラスのパラメータ "y"（K折りで分割するサンプル）がありました：

clas S sklearn.cross_validation.StratifiedKFold（Y、n_folds = 3、シャッフル= Falseを、random_state =なし）[ソース]

このパラメータは、クラスmodel_selection

# 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]))