 | Run 14125 |
| Creator | zenogantner |
| Program | MyMediaLite-biased-matrix-factorization-k-10 |
| Dataset | movielens1m |
| Task type | CollaborativeFiltering |
| Created | 28d17h ago |
Done! 
| 1h38m | |
| 432M | |
| CollaborativeFiltering | |
| 1h37m | |
| 0.787 | |
| 0.621 | |
| 13s | |
| 0.914 | |
| 0.713 | |
Log file
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0.000921571728317478 loss 389336.609158211 learn_rate 0.000967650314733352 loss 389336.252024719 learn_rate 0.00101603283047002 loss 389336.070583699 learn_rate 0.00106683447199352 loss 389336.075953557 learn_rate 0.00053341723599676 training_time 00:19:01.2938430 memory 12 Save model to model.txt === END _tune-hyperparameter4: ./run learn ../cv.train --- OK [1146s] === START _tune-hyperparameter4: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 loading_time 4.04 ratings range: [0, 5] training data: 5000 users, 3646 items, 581215 ratings, sparsity 96.81177 test data: 4998 users, 3510 items, 249092 ratings, sparsity 98.5801 Load model from model.txt BiasedMatrixFactorization num_factors=10 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 0.86985 MAE 0.68373 NMAE 0.13675 testing_time 00:00:00.2155990 predicting_time 00:00:01.1552320 memory 14 === END _tune-hyperparameter4: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 --- OK [6s] === START program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 === END program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 --- OK [3s] CV error rate 0.756646071692432 with hyperparameter 100.0 Best hyperparameter value is 1.0; got CV error rate 0.755373001437206 === END program1: ./run learn ../dataset6/train --- OK [5846s] ===== MAIN: predict/evaluate on train data ===== === START program7: ./run stripLabels ../dataset6/train ../program0/evalTrain.in === END program7: ./run stripLabels ../dataset6/train ../program0/evalTrain.in --- OK [4s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out === START _tune-hyperparameter-best: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out loading_time 6.14 ratings range: [0, 5] training data: 5000 users, 3646 items, 581215 ratings, sparsity 96.81177 test data: 5000 users, 3692 items, 830307 ratings, sparsity 95.50213 Load model from model.txt BiasedMatrixFactorization num_factors=10 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 3.6352 MAE 3.55724 NMAE 0.71145 testing_time 00:00:00.6910760 predicting_time 00:00:04.0476010 memory 23 === END _tune-hyperparameter-best: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out --- OK [13s] === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [13s] === START program8: ./run evaluate ../dataset6/train ../program0/evalTrain.out === END program8: ./run evaluate ../dataset6/train ../program0/evalTrain.out --- OK [8s] ===== MAIN: predict/evaluate on test data ===== === START program7: ./run stripLabels ../dataset6/test ../program0/evalTest.in === END program7: ./run stripLabels ../dataset6/test ../program0/evalTest.in --- OK [1s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out === START _tune-hyperparameter-best: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out loading_time 2.75 ratings range: [0, 5] training data: 5000 users, 3646 items, 581215 ratings, sparsity 96.81177 test data: 5000 users, 1648 items, 5000 ratings, sparsity 99.93932 Load model from model.txt BiasedMatrixFactorization num_factors=10 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 3.75584 MAE 3.6843 NMAE 0.73686 testing_time 00:00:00.0048850 predicting_time 00:00:00.0132730 memory 10 === END _tune-hyperparameter-best: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out --- OK [4s] === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [4s] === START program8: ./run evaluate ../dataset6/test ../program0/evalTest.out === END program8: ./run evaluate ../dataset6/test ../program0/evalTest.out --- OK [2s] real 98m2.587s user 96m15.357s sys 0m13.925s
Run specification 
Results
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