ValueError: Error when checking input: expected user_input to have shape (1,) but got array with shape (3952,)

[starevelyn]

in the model:
def get_model(self):
user_input = Input(shape=(1,), dtype='int32', name='user_input')
item_input = Input(shape=(1,), dtype='int32', name='item_input')
but in evaluate.py is:
def _evaluate_one_rating(idx, k):
........
predictions = _model.predict([np.array(users_input), np.array(items_input)],
batch_size=100 + 1,
verbose=0)

[starevelyn]

solutions:
change code in evaluate.py:
def _evaluate_one_rating(idx, k):
.......
items_input = []
users_input = []
for item in items:
items_input.append(item) # original: _data_matrix[:, item]
users_input.append(user)