ServerRun 17701
Creatorinternal
Programwhoburg-ALS_K3_lambda2-r
DatasetCollaborativeFilteringData
Task typeCollaborativeFiltering
Created5y327d ago
Done! Flag_green
CollaborativeFiltering
16s
0.764
0.269
1s
7.25
1.55

Log file

Usage: "run learn trainingFileName" OR "run predict testFileName predictionFileName"
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
[1] 1
[1] Inf
[1] 0.7710606
[1] 2
[1] 77.19383
[1] 4.336617
[1] 3
[1] 0.3249810
[1] 0.5856005
[1] 4
[1] 0.09133241
[1] 0.1369515
[1] 5
[1] 0.05784141
[1] 0.0786373
[1] 6
[1] 0.03250013
[1] 0.0397143
[1] 7
[1] 0.02267762
[1] 0.02116635
[1] 8
[1] 0.01882871
[1] 0.01434760
[1] 9
[1] 0.01724117
[1] 0.01017542
[1] 10
[1] 0.01648088
[1] 0.007375503
[1] 11
[1] 0.01604502
[1] 0.005410309
[1] 12
[1] 0.01575306
[1] 0.003999923
[1] 13
[1] 0.01553421
[1] 0.002976631
[1] 14
[1] 0.01535703
[1] 0.002230570
[1] 15
[1] 0.01520571
[1] 0.001685751
[1] 16
[1] 0.01507135
[1] 0.001287931
[1] 17
[1] 0.01494861
[1] 0.0009977155
[1] 18
[1] 0.01483407
[1] 0.000786258
[1] 19
[1] 0.01472551
[1] 0.0006323698
[1] 20
[1] 0.01462143
[1] 0.0005204845
[1] 21
[1] 0.01452079
[1] 0.0004391825
[1] 22
[1] 0.0144229
[1] 0.0003801037
[1] 23
[1] 0.01432725
[1] 0.0003371424
[1] 24
[1] 0.01423349
[1] 0.0003058502
[1] 25
[1] 0.01414139
[1] 0.0002829933
[1] 26
[1] 0.01405075
[1] 0.0002662261
[1] 27
[1] 0.01396144
[1] 0.0002538502
[1] 28
[1] 0.01387338
[1] 0.0002446381
[1] 29
[1] 0.01378648
[1] 0.0002377040
[1] 30
[1] 0.01370070
[1] 0.0002324095
[1] 31
[1] 0.01361597
[1] 0.0002282947
[1] 32
[1] 0.01353228
[1] 0.0002250293
[1] 33
[1] 0.01344958
[1] 0.0002223758
[1] 34
[1] 0.01336785
[1] 0.0002201635
[1] 35
[1] 0.01328707
[1] 0.0002182701
[1] 36
[1] 0.01320722
[1] 0.0002166079
[1] 37
[1] 0.01312828
[1] 0.0002151140
[1] 38
[1] 0.01305022
[1] 0.0002137433
[1] 39
[1] 0.01297304
[1] 0.0002124635
[1] 40
[1] 0.01289672
[1] 0.0002112513
[1] 41
[1] 0.01282123
[1] 0.0002100903
[1] 42
[1] 0.01274658
[1] 0.0002089685
[1] 43
[1] 0.01267274
[1] 0.0002078773
[1] 44
[1] 0.01259969
[1] 0.0002068107
[1] 45
[1] 0.01252743
[1] 0.0002057641
[1] 46
[1] 0.01245595
[1] 0.0002047345
[1] 47
[1] 0.01238522
[1] 0.0002037194
[1] 48
[1] 0.01231524
[1] 0.0002027172
[1] 49
[1] 0.01224600
[1] 0.0002017267
[1] 50
[1] 0.01217747
[1] 0.0002007470
=== END program1: ./run learn ../dataset2/train --- OK [16s]

===== 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
[1] "../program0/evalTrain.in"
[1] "../program0/evalTrain.out"
=== 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
[1] "../program0/evalTest.in"
[1] "../program0/evalTest.out"
=== 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	0m24.212s
user	0m21.641s
sys	0m2.016s

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