successfully training. but always fail when running 'model.predict()'

[zHaOshuAnGye]

hello, thx for your code! I am confused with a problem.

here is my code. `import xlearn as xl fm_model = xl.create_fm() fm_model.setTrain("./train.txt") fm_model.setValidate("./test.txt") fm_model.setTest("./test.txt") # Test data

param = {'task':'binary', 'lr':0.1,'epoch':200,'stop_window':5,'metric': 'auc','k':8}

fm_model.setTXTModel("./model.out") fm_model.fit(param, "./model.out") fm_model.setSigmoid() # Convert output to 0-1 fm_model.predict("./model.txt", "output.txt")

` I can run it successfully until the last line:"fm_model.predict("./model.txt", "output.txt")". When it is fitting, it can output validate dataset result. Validate set and test set in my case are the same one, I'm confused why it cann't running this line "fm_model.predict("./model.txt", "output.txt")".

[zHaOshuAnGye]

fm_model.fit(param, "./model.out") should be fm_model.fit(param, "./model.txt")