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I am trying to use the executable to conduct experiments. However, for the same parameters, the results seem to differ from the R wrapper Recosystem.
If I want to use row-oriented logistic loss for my prediction, can I check if mf-train -l1 0 -l2 0 -f 10 -k 20 -t 20 -r 0.1 train_positive.txt bpr_model.txt mf-predict -e 10 testset.txt bpr_model.txt bpr_output.txt
are the correct commands to enter?
Thank you very much!
The text was updated successfully, but these errors were encountered:
Do you mean row-oriented MPR? We minimize row-oriented pair-wise logistic loss in training but the evaluation module mf-predict only supports MPR and AUC. If you meant MPR, then you commands look good to me. Btw, here is a example similar to your case.
Hi,
I am trying to use the executable to conduct experiments. However, for the same parameters, the results seem to differ from the R wrapper Recosystem.
If I want to use row-oriented logistic loss for my prediction, can I check if
mf-train -l1 0 -l2 0 -f 10 -k 20 -t 20 -r 0.1 train_positive.txt bpr_model.txt
mf-predict -e 10 testset.txt bpr_model.txt bpr_output.txt
are the correct commands to enter?
Thank you very much!
The text was updated successfully, but these errors were encountered: