I am having the problem with the following python code which uses the library keras, and I have not been able to find a solution online:
def model_build(): model_mag=Sequential() model_mag.add(Dense(64, activation='relu', input_dim=5)) model_mag.add(Dropout(0.5)) model_mag.add(Dense(64, activation='relu')) model_mag.add(Dropout(0.5)) model_mag.add(Dense(64, activation='relu')) model_mag.add(Dense(1)) model_mag.compile(loss=losses.mean_squared_error,optimizer='sgd') return model_mag clf = KerasRegressor(build_fn=model_build(),nb_epoch=100) # here is the error clf.fit(X_train,y_train, nb_epoch=20)
I know that X_train and y_train are well defined above and I can run other classifier methods just fine with them so they are not the problem. It keeps throwing me the following error in the fit line and I can't figure out why:
TypeError: call() takes exactly 2 arguments (1 given)
I am giving two arguments though.