cur_training_u_movies variable not found in YelpProcessor.ipynb

[joey-wang123]

Hello,

       Thank you for your awesome work, I am using your scripts of YelpProcessor.ipynb to preprocess data. But it indicates that "cur_training_u_movies" not defined. Could you help me with it? Thank you!

[linhongxiang]

Hello,

       Thank you for your awesome work, I am using your scripts of YelpProcessor.ipynb to preprocess data. But it indicates that "cur_training_u_movies" not defined. Could you help me with it? Thank you!

Have you solved the problem yet？I have the same problem.

[rootlu]

Hi, the last two code blocks are copied from elsewhere for referenc and can be commented out.

[DavideBuffelli]

Hi, I have the same problem outlined above. I have tried commenting out the last two block as suggested by @rootlu but then when I try to launch main.py on Yelp it fails with this message:

{'dataset': 'yelp', 'mp': ['ub', 'ubcb', 'ubtb', 'ubub'], 'use_cuda': True, 'file_num': 12, 'num_stars': 9, 'num_postalcode': 6127, 'num_fea_item': 2, 'item_fea_len': 2, 'num_fans': 412, 'num_avgrating': 359, 'num_fea_user': 2, 'embedding_dim': 32, 'user_embedding_dim': 64, 'item_embedding_dim': 64, 'first_fc_hidden_dim': 64, 'second_fc_hidden_dim': 64, 'mp_update': 1, 'local_update': 1, 'lr': 0.0005, 'mp_lr': 0.001, 'local_lr': 0.001, 'batch_size': 32, 'num_epoch': 50, 'neigh_agg': 'mean', 'mp_agg': 'mean'}
--------------- mp_update ---------------
loading train data...
0it [00:00, ?it/s]
#support set: 0, #query set: 0
training model...
Traceback (most recent call last):
  File "main.py", line 152, in <module>
    training(hml, model_save=True, model_file=model_filename,device=cuda_or_cpu)
  File "main.py", line 36, in training
    supp_xs_s, supp_ys_s, supp_mps_s, query_xs_s, query_ys_s, query_mps_s = zip(*train_data)  # supp_um_s:(list,list,...,2553)
ValueError: not enough values to unpack (expected 6, got 0)

So it seems that the processing script isn't producing any training or testing data. Do you have any suggestions?

Thank you in advance for your help.