We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi, all.
First of all, I really appreciate the developers that made the libRec. It is really helpful for various experiments for my work.
I have an issue that LLORMA's performance on MovieLens-1M data is going worse as follows:
[DEBUG] 2016-11-09 22:36:11,789 -- With Specs: {Users, Items, Ratings} = {6040, 3815, 20000}, Scale = {1.0,2.0,3.0,4.0,5.0} [DEBUG] 2016-11-09 22:36:16,645 -- LLORMA: [factors, lRate, maxLRate, regB, regU, regI, iters, boldDriver] = [10, 0.001, -1.0, 0.001, 0.001, 0.001, 100, true] [DEBUG] 2016-11-09 22:36:42,528 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt [DEBUG] 2016-11-09 22:36:42,530 -- LLORMA iter 5:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [1.261908,1.000000,Infinity,0.000000,1.556156,3.535900,3.719341] [DEBUG] 2016-11-09 22:36:56,349 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt [DEBUG] 2016-11-09 22:36:56,350 -- LLORMA iter 10:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [2.524851,2.000000,Infinity,0.000000,2.201272,7.071800,5.259943] [DEBUG] 2016-11-09 22:37:08,754 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt [DEBUG] 2016-11-09 22:37:08,755 -- LLORMA iter 15:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [3.796789,3.000000,Infinity,0.000000,2.702933,10.607700,6.442088] [DEBUG] 2016-11-09 22:37:21,414 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt [DEBUG] 2016-11-09 22:37:21,415 -- LLORMA iter 20:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [5.070666,4.000000,Infinity,0.000000,3.126489,14.143600,7.438683]
Can give me any advice?
Thanks.
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hi, all.
First of all, I really appreciate the developers that made the libRec.
It is really helpful for various experiments for my work.
I have an issue that LLORMA's performance on MovieLens-1M data is going worse as follows:
[DEBUG] 2016-11-09 22:36:11,789 -- With Specs: {Users, Items, Ratings} = {6040, 3815, 20000}, Scale = {1.0,2.0,3.0,4.0,5.0}
[DEBUG] 2016-11-09 22:36:16,645 -- LLORMA: [factors, lRate, maxLRate, regB, regU, regI, iters, boldDriver] = [10, 0.001, -1.0, 0.001, 0.001, 0.001, 100, true]
[DEBUG] 2016-11-09 22:36:42,528 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:36:42,530 -- LLORMA iter 5:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [1.261908,1.000000,Infinity,0.000000,1.556156,3.535900,3.719341]
[DEBUG] 2016-11-09 22:36:56,349 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:36:56,350 -- LLORMA iter 10:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [2.524851,2.000000,Infinity,0.000000,2.201272,7.071800,5.259943]
[DEBUG] 2016-11-09 22:37:08,754 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:37:08,755 -- LLORMA iter 15:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [3.796789,3.000000,Infinity,0.000000,2.702933,10.607700,6.442088]
[DEBUG] 2016-11-09 22:37:21,414 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:37:21,415 -- LLORMA iter 20:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [5.070666,4.000000,Infinity,0.000000,3.126489,14.143600,7.438683]
Can give me any advice?
Thanks.
The text was updated successfully, but these errors were encountered: