ServerRun 14737
Creatorinternal
ProgramMyMediaLite-matrix-factorization-k-60
DatasetOnlineLearningMulticlass
Task typeCollaborativeFiltering
Created6y102d ago
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Done! Flag_green
15s
417M
CollaborativeFiltering
0.106
0.089
0.362
0.303

Log file

Nothing to construct.
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
loading_time 0.04
ratings range: [0, 0.994550408719346]
training data: 10 users, 14 items, 79 ratings, sparsity 43.57143
MatrixFactorization num_factors=60 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:00:00.1266460 
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 0.07
ratings range: [0, 0.994550408719346]
training data: 10 users, 14 items, 79 ratings, sparsity 43.57143
test data:     10 users, 14 items, 79 ratings, sparsity 43.57143
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 0.37113 MAE 0.319 NMAE 0.32074 testing_time 00:00:00.0198190
predicting_time 00:00:00.0032220
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 [2s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
loading_time 0.07
ratings range: [0, 0.994550408719346]
training data: 10 users, 14 items, 79 ratings, sparsity 43.57143
test data:     10 users, 12 items, 33 ratings, sparsity 72.5
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 0.29007 MAE 0.26772 NMAE 0.26919 testing_time 00:00:00.0023170
predicting_time 00:00:00.0131130
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	0m12.313s
user	0m5.016s
sys	0m1.336s

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