ServerRun 13966
Creatorzenogantner
ProgramMML-BMF
Datasetmovielens100k
Task typeCollaborativeFiltering
Created6y107d ago
DownloadLogin required!
Done! Flag_green
46s
423M
CollaborativeFiltering
0.645
0.515
0.961
0.757

Log file

Nothing to construct.
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
loading_time 0.4
ratings range: [1, 5]
training data: 943 users, 1680 items, 90570 ratings, sparsity 94.28306
BiasedMatrixFactorization num_factors=20 bias_reg=0.001 reg_u=0.055 reg_i=0.055 learn_rate=0.01 num_iter=100 bold_driver=False init_mean=0 init_stdev=0.1 optimize_mae=False training_time 00:00:31.8280500 
memory 2
Save model to model.txt
=== END program1: ./run learn ../dataset2/train --- OK [33s]

===== 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
WARNING: rating value out of range [1, 5]: 0 for user 0, item 0
loading_time 0.79
ratings range: [1, 5]
training data: 943 users, 1680 items, 90570 ratings, sparsity 94.28306
test data:     943 users, 1680 items, 90570 ratings, sparsity 94.28306
Load model from model.txt
Set num_factors to 943
BiasedMatrixFactorization num_factors=20 bias_reg=0.0001 reg_u=0.015 reg_i=0.015 learn_rate=0.01 num_iter=30 bold_driver=False init_mean=0 init_stdev=0.1 optimize_mae=False RMSE 3.58546 MAE 3.50388 NMAE 0.87597 testing_time 00:00:00.0349890
predicting_time 00:00:00.4693670
memory 3
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [2s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [3s]

===== 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
WARNING: rating value out of range [1, 5]: 0 for user 0, item 914
loading_time 0.52
ratings range: [1, 5]
training data: 943 users, 1680 items, 90570 ratings, sparsity 94.28306
test data:     943 users, 1129 items, 9430 ratings, sparsity 99.11426
Load model from model.txt
Set num_factors to 943
BiasedMatrixFactorization num_factors=20 bias_reg=0.0001 reg_u=0.015 reg_i=0.015 learn_rate=0.01 num_iter=30 bold_driver=False init_mean=0 init_stdev=0.1 optimize_mae=False RMSE 3.63195 MAE 3.56087 NMAE 0.89022 testing_time 00:00:00.0057490
predicting_time 00:00:00.0801030
memory 2
=== 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	0m45.380s
user	0m25.266s
sys	0m1.696s

Run specification Arrow_right
Results Arrow_right


Comments:


Must be logged in to post comments.