ServerRun 14733
Creatorinternal
ProgramMyMediaLite-matrix-factorization-k-60
DatasetBinaryClassificationData
Task typeCollaborativeFiltering
Created5y257d ago
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Done! Flag_green
19s
418M
CollaborativeFiltering
0.106
0.084
0.238
0.187

Log file

Nothing to construct.
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
loading_time 0.12
ratings range: [0, 1]
training data: 53 users, 73 items, 358 ratings, sparsity 90.74696
MatrixFactorization num_factors=60 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:00:00.4047700 
memory 0
Save model to model.txt
=== END program1: ./run learn ../dataset2/train --- OK [2s]

===== 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 0.09
ratings range: [0, 1]
training data: 53 users, 73 items, 358 ratings, sparsity 90.74696
test data:     53 users, 73 items, 358 ratings, sparsity 90.74696
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 0.33807 MAE 0.31567 NMAE 0.31567 testing_time 00:00:00.0029930
predicting_time 00:00:00.0038420
memory 0
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [1s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [1s]

===== 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, 1]
training data: 53 users, 73 items, 358 ratings, sparsity 90.74696
test data:     47 users, 57 items, 153 ratings, sparsity 94.28891
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 0.33095 MAE 0.31722 NMAE 0.31722 testing_time 00:00:00.0028380
predicting_time 00:00:00.0034820
memory 0
=== 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	0m10.308s
user	0m6.556s
sys	0m2.048s

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