ServerRun 14740
Creatorinternal
ProgramMyMediaLite-matrix-factorization-k-60
DatasetWordSegmentationData
Task typeCollaborativeFiltering
Created6y102d ago
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Done! Flag_green
1s
418M
CollaborativeFiltering
0.040
0.034
0.358
0.358

Log file

Nothing to construct.
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
loading_time 0.02
ratings range: [0, 0.984386975548248]
training data: 4 users, 2 items, 5 ratings, sparsity 37.5
MatrixFactorization num_factors=60 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:00:00.0081530 
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
loading_time 0.03
ratings range: [0, 0.984386975548248]
training data: 4 users, 2 items, 5 ratings, sparsity 37.5
test data:     4 users, 2 items, 5 ratings, sparsity 37.5
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 0.75905 MAE 0.69907 NMAE 0.71015 testing_time 00:00:00.0024850
predicting_time 00:00:00.0032870
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
loading_time 0.03
ratings range: [0, 0.984386975548248]
training data: 4 users, 2 items, 5 ratings, sparsity 37.5
test data:     1 users, 1 items, 1 ratings, sparsity 0
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 0.52737 MAE 0.52737 NMAE 0.53574 testing_time 00:00:00.0024990
predicting_time 00:00:00.0035160
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 [2s]


real	0m9.743s
user	0m6.668s
sys	0m1.964s

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