小编Sat*_*mar的帖子

我试图根据“ input_data”中存在的功能预测收盘价（1或0）。但是，当我尝试运行代码时，出现以下错误，我不确定如何解决此问题。任何帮助都非常感谢，谢谢

Traceback (most recent call last):
  File "F:/Machine Learning/SK_Learn/SVM_Stock.py", line 71, in <module>
    estimator.fit(x,y)
  File "C:\Python35\lib\site-packages\keras\wrappers\scikit_learn.py", line 210, in fit
    return super(KerasClassifier, self).fit(x, y, **kwargs)
  File "C:\Python35\lib\site-packages\keras\wrappers\scikit_learn.py", line 139, in fit
    **self.filter_sk_params(self.build_fn.__call__))
TypeError: __call__() missing 1 required positional argument: 'inputs'

这是代码：

class SVM_Stock:

    def __init__(self):
        pass

    def create_model(self):

        model = Sequential()
        model.add(Dense(14, input_dim=16, kernel_initializer='normal', activation='relu'))
        model.add(Dense(7, kernel_initializer='normal', activation='relu'))
        model.add(Dense(1, kernel_initializer='normal', activation='sigmoid'))
        model.compile(loss='binary_crossentropy',optimizer='rmsprop', metrics=['accuracy'])
        return model


if __name__ == "__main__":

    desired_width = 450
    pd.set_option('display.width', desired_width)
    pd.set_option('display.max_columns', 17)

    ds = pd.read_csv('F:\\Machine …