allenjack / gate Goto Github PK

Great work and implement，can you share the processed movilen dataset or process script?
Thanks!

Hi allenjack! I just tried to run your code in the exact way you showed in readme file. But I got error information as following:

DEBUG:main:epoch:0
Traceback (most recent call last):
File "run.py", line 251, in
main()
File "run.py", line 247, in main
train_model(train_matrix, item_content_matrix, item_relation_matrix, word_seq, test_set, args)
File "run.py", line 204, in train_model
batch_x_weight = Variable(torch.from_numpy(batch_x_weight).type(dtype), requires_grad=False)
TypeError: can't convert np.ndarray of type numpy.int32. The only supported types are: double, float, float16, int64, int32, and uint8.

Thank you for your attention!

My problem may be too simple, but it confuses me very much. Please pay attention to it~~

In auto encoder, I know, it's trained x to x~, so it can learn more accurate hidden layer. My question is: when we make predictions, test data is items which users don't rate. So, what's the input? where's input in the network architecture? is gating layer's input? or Encoder_r's input? or other?

Thanks for your attention!