 | Run 13966 |
| Creator | zenogantner |
| Program | MML-BMF |
| Dataset | movielens100k |
| Task type | CollaborativeFiltering |
| Created | 28d17h ago |
| Download | Login required! |
Done! 
| 46s | |
| 423M | |
| CollaborativeFiltering | |
| 33s | |
| 0.645 | |
| 0.515 | |
| 2s | |
| 0.961 | |
| 0.757 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train loading_time 0.4 ratings range: [1, 5] training data: 943 users, 1680 items, 90570 ratings, sparsity 94.28306 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 00:00:31.8280500 memory 2 Save model to model.txt === END program1: ./run learn ../dataset2/train --- OK [33s] ===== 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 for user 0, item 0 loading_time 0.79 ratings range: [1, 5] training data: 943 users, 1680 items, 90570 ratings, sparsity 94.28306 test data: 943 users, 1680 items, 90570 ratings, sparsity 94.28306 Load model from model.txt Set num_factors to 943 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 3.58546 MAE 3.50388 NMAE 0.87597 testing_time 00:00:00.0349890 predicting_time 00:00:00.4693670 memory 3 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [2s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [3s] ===== 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 for user 0, item 914 loading_time 0.52 ratings range: [1, 5] training data: 943 users, 1680 items, 90570 ratings, sparsity 94.28306 test data: 943 users, 1129 items, 9430 ratings, sparsity 99.11426 Load model from model.txt Set num_factors to 943 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 3.63195 MAE 3.56087 NMAE 0.89022 testing_time 00:00:00.0057490 predicting_time 00:00:00.0801030 memory 2 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s] real 0m45.380s user 0m25.266s sys 0m1.696s
Run specification 
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