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but, there is a local folder that indicates recbole inside this repo.
Which one should be used?
And I refer to your quickstart note for CL4SRec for the AWS Beauty (Auto-download also is not working) for the best performance preset and I try this setting but I encounter the error:
Traceback (most recent call last):
File "run_seq.py", line 15, in<module>
run_recbole(model=args.model, dataset=args.dataset, config_file_list=config_file_list)
File "/root/exp/RecBole-DA/recbole/quick_start/quick_start.py", line 48, in run_recbole
train_data, valid_data, test_data = data_preparation(config, dataset)
File "/root/exp/RecBole-DA/recbole/data/utils.py", line 127, in data_preparation
train_data = dataloader(**train_kwargs)
TypeError: __init__() got an unexpected keyword argument 'phase'
Lastly, as I know original CL4SRec used BPR loss but the best setting was seem to be on cross-entropy.
So I wonder which one can be trusted.
I'll wait for your response :)
Thanks!
The text was updated successfully, but these errors were encountered:
Hi, I'm watching your helpful work!
But I'm encountering some issues as below:
I saw in readme: requirements: recbole >= 1.0.1
but, there is a local folder that indicates recbole inside this repo.
And I refer to your quickstart note for CL4SRec for the AWS Beauty (Auto-download also is not working) for the best performance preset and I try this setting but I encounter the error:
Lastly, as I know original CL4SRec used BPR loss but the best setting was seem to be on cross-entropy.
So I wonder which one can be trusted.
I'll wait for your response :)
Thanks!
The text was updated successfully, but these errors were encountered: