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AttributeError:“历史记录”对象没有属性“预测”-拟合火车和测试数据列表

我正在尝试使用此示例的NN模型。我正在为神经网络模型拟合值列表。但是,我得到一个AttributeError。这已经被问过并且已经得到回答。不幸的是,它对我不起作用。如示例所示,我创建了以下内容,

from keras.models import Sequential
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.model_selection import KFold
from sklearn.model_selection import cross_val_score
from keras.layers import Dense

def neuralnetmodel():
    #Crete model
    model = Sequential()
    model.add(Dense(13, input_dim = 13, kernel_initializer = 'normal', activation = 'relu'))

model.add(Dense(1, kernel_initializer = 'normal', activation = 'relu'))
model.add(Dense(1, kernel_initializer = 'normal', activation = 'relu'))
## Output layer
model.add(Dense(1, kernel_initializer = 'normal'))

#Compile model
model.compile(loss = 'mean_squared_error', optimizer = 'adam')
return model
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fit 训练数据

NNmodelList = []

for i,j …
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python list machine-learning neural-network keras

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