ServerRun 14730
Creatorinternal
ProgramMyMediaLite-matrix-factorization-k-60
Dataseteachmovie-1to5
Task typeCollaborativeFiltering
Created5y257d ago
Done! Flag_green
54m29s
433M
CollaborativeFiltering
0.609
0.469
0.898
0.694

Log file

Nothing to construct.
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
loading_time 11.28
ratings range: [0, 5]
training data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884
MatrixFactorization num_factors=60 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:51:48.1883230 
memory 57
Save model to model.txt
=== END program1: ./run learn ../dataset2/train --- OK [3134s]

===== 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 [10s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
loading_time 21.15
ratings range: [0, 5]
training data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884
test data:     30000 users, 1623 items, 2079628 ratings, sparsity 95.72884
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 3.53408 MAE 3.41163 NMAE 0.68233 testing_time 00:00:04.3713970
predicting_time 00:00:14.7996430
memory 81
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [53s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [47s]

===== 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 11.45
ratings range: [0, 5]
training data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884
test data:     29998 users, 1123 items, 29998 ratings, sparsity 99.91095
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 3.59346 MAE 3.49901 NMAE 0.6998 testing_time 00:00:00.0598530
predicting_time 00:00:00.1974750
memory 49
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [23s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [2s]


real	54m35.001s
user	36m26.105s
sys	0m7.208s

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