model.fit return is incorrect

[Howard Su]

    history = model.fit(X_train, y_train, nb_epoch=12, batch_size=16,
                        validation_data=(X_test, y_test), verbose=2)
    config = optimizer.get_config()                                                                                                   assert type(config) == dict

  assert history.history['val_acc'][-1] >= target

[Hu Shiwen]

this because not test_function .i am fixed.