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Row-oriented logistic loss for prediction #26

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sharonwoo opened this issue Mar 25, 2019 · 1 comment
Open

Row-oriented logistic loss for prediction #26

sharonwoo opened this issue Mar 25, 2019 · 1 comment

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@sharonwoo
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sharonwoo commented Mar 25, 2019

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!

@wschin
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wschin commented Mar 26, 2019

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.

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