ServerRun 30313
Creatorshakey
ProgramMyMediaLite-matrix-factorization-k-60
DatasetCollaborativeFiltering-ZL
Task typeCollaborativeFiltering
Created3y115d ago
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Done! Flag_green
18m6s
424M
CollaborativeFiltering
17m15s
0.471
0.351
18s
0.655
0.485

Log file

Nothing to construct.
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
loading_time 3.36
ratings range: [0, 5]
training data: 9436 users, 7889 items, 700000 ratings, sparsity 99.05965
MatrixFactorization num_factors=60 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:17:03.9229160 
memory 22
Save model to model.txt
=== END program1: ./run learn ../dataset2/train --- OK [1035s]

===== 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 [4s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
loading_time 6.45
ratings range: [0, 5]
training data: 9436 users, 7889 items, 700000 ratings, sparsity 99.05965
test data:     9436 users, 7889 items, 700000 ratings, sparsity 99.05965
Load model from model.txt
Set num_factors to 60
MatrixFactorization num_factors=60 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 3.71259 MAE 3.67521 NMAE 0.73504 testing_time 00:00:01.0466890
predicting_time 00:00:04.0986480
memory 30
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [18s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [7s]

===== 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 [2s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
loading_time 4.68
ratings range: [0, 5]
training data: 9436 users, 7889 items, 700000 ratings, sparsity 99.05965
test data:     8771 users, 7772 items, 300000 ratings, sparsity 99.55991
Load model from model.txt
Set num_factors to 60
MatrixFactorization num_factors=60 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 3.70771 MAE 3.67946 NMAE 0.73589 testing_time 00:00:00.4427960
predicting_time 00:00:01.6898360
memory 24
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [13s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [3s]


real	18m8.602s
user	11m44.824s
sys	0m3.092s

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