 | Run 15468 |
| Creator | internal |
| Program | MML-BMF |
| Dataset | DocumentClassification |
| Task type | CollaborativeFiltering |
| Created | 1y304d ago |
| Download | Login required! |
Done! 
| 9s | |
| 423M | |
| CollaborativeFiltering | |
| 0.833 | |
| 0.759 | |
| 1.14 | |
| 1.10 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train WARNING: rating value out of range [1, 5]: 0.0353580518676481 for user 0, item 0 loading_time 0.11 ratings range: [1, 5] training data: 4 users, 6 items, 13 ratings, sparsity 45.83333 BiasedMatrixFactorization num_factors=20 bias_reg=0.001 reg_u=0.055 reg_i=0.055 learn_rate=0.01 num_iter=100 bold_driver=False init_mean=0 init_stdev=0.1 optimize_mae=False training_time 00:00:00.1178110 memory 0 Save model to model.txt === END program1: ./run learn ../dataset2/train --- OK [1s] ===== MAIN: predict/evaluate on train data ===== === START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in === END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out WARNING: rating value out of range [1, 5]: 0.0353580518676481 for user 0, item 0 WARNING: rating value out of range [1, 5]: 0 for user 0, item 0 loading_time 0.11 ratings range: [1, 5] training data: 4 users, 6 items, 13 ratings, sparsity 45.83333 test data: 4 users, 6 items, 13 ratings, sparsity 45.83333 Load model from model.txt Set num_factors to 4 BiasedMatrixFactorization num_factors=20 bias_reg=0.0001 reg_u=0.015 reg_i=0.015 learn_rate=0.01 num_iter=30 bold_driver=False init_mean=0 init_stdev=0.1 optimize_mae=False RMSE 1.18518 MAE 1.18348 NMAE 0.29587 testing_time 00:00:00.0028680 predicting_time 00:00:00.0033910 memory 0 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [2s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [1s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out WARNING: rating value out of range [1, 5]: 0.0353580518676481 for user 0, item 0 WARNING: rating value out of range [1, 5]: 0 for user 2, item 2 loading_time 0.14 ratings range: [1, 5] training data: 4 users, 6 items, 13 ratings, sparsity 45.83333 test data: 4 users, 4 items, 5 ratings, sparsity 68.75 Load model from model.txt Set num_factors to 4 BiasedMatrixFactorization num_factors=20 bias_reg=0.0001 reg_u=0.015 reg_i=0.015 learn_rate=0.01 num_iter=30 bold_driver=False init_mean=0 init_stdev=0.1 optimize_mae=False RMSE 1.38788 MAE 1.36972 NMAE 0.34243 testing_time 00:00:00.0026890 predicting_time 00:00:00.0031810 memory 0 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s] real 0m9.537s user 0m7.168s sys 0m1.968s
Run specification 
Results
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