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def printing_Kfold_scores(x_train_data,y_train_data): fold = KFold(5,shuffle=False) print(fold) #C——正则化强度 c_param_range = [0.01,0.1,1,10,100] results_table = pd.DataFrame(index = range(len(c_param_range),2), columns = ['C_parameter','Mean recall score']) results_table['C_parameter'] = c_param_range j = 0 for c_param in c_param_range: print('-----------------------------------') print('C parameter: ', c_param) print('-----------------------------------') print('') recall_accs = [] for iteration, indices in enumerate(fold,start=1): 提示报错： in printing_Kfold_scores(x_train_data, y_train_data) 16 17 recall_accs = [] ---> 18 for iteration, indices in enumerate(fold,start=1): 19 20 #逻辑回归模型TypeError: 'KFold' object is not iterable |
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