MLcomp version alpha Statistics: 589 users, 191 datasets, 260 programs, 5789 runs (0 queued, 1 running), 1 workers

Run 762

Creator	lester
Program	lester-mf_rsgd-r
Dataset	collaborativefiltering-sample
Task type	CollaborativeFiltering
Created	313d8h ago

Status: Done!

Total Time	1s
Max Memory Usage	424M
Learn time	0s
Train RMSE	2.89
Train MAE	0
Predict train time	2s
Test RMSE	0
Test MAE
Predict test time

Log file

Usage: "run learn trainingFileName" OR "run predict testFileName predictionFileName"
=== Starting: cd /home/mlcomp/worker2/scratch/program0/../program1 && ./run learn '/home/mlcomp/worker2/scratch/program0/../dataset2/train'
[1] "Training RMSE:  3.17771114061151"
[1] "Training RMSE:  3.15287397771927"
[1] "Training RMSE:  3.12787415948747"
[1] "Training RMSE:  3.1024223583946"
[1] "Training RMSE:  3.07624112944138"
[1] "Training RMSE:  3.04906199322795"
[1] "Training RMSE:  3.02062338936465"
[1] "Training RMSE:  2.99066945153617"
[1] "Training RMSE:  2.95894958639085"
[1] "Training RMSE:  2.92521886024016"
=== Finished: cd /home/mlcomp/worker2/scratch/program0/../program1 && ./run learn '/home/mlcomp/worker2/scratch/program0/../dataset2/train' --- OK [0s]
=== Starting: cd /home/mlcomp/worker2/scratch/program0/../program3 && ./run stripLabels '/home/mlcomp/worker2/scratch/program0/../dataset2/train' '/home/mlcomp/worker2/scratch/program0/evalTrain.in'
=== Finished: cd /home/mlcomp/worker2/scratch/program0/../program3 && ./run stripLabels '/home/mlcomp/worker2/scratch/program0/../dataset2/train' '/home/mlcomp/worker2/scratch/program0/evalTrain.in' --- OK [1s]
=== Starting: cd /home/mlcomp/worker2/scratch/program0/../program1 && ./run predict '/home/mlcomp/worker2/scratch/program0/evalTrain.in' '/home/mlcomp/worker2/scratch/program0/evalTrain.out'
[1] "/home/mlcomp/worker2/scratch/program0/evalTrain.in"
[1] "/home/mlcomp/worker2/scratch/program0/evalTrain.out"
=== Finished: cd /home/mlcomp/worker2/scratch/program0/../program1 && ./run predict '/home/mlcomp/worker2/scratch/program0/evalTrain.in' '/home/mlcomp/worker2/scratch/program0/evalTrain.out' --- OK [0s]
=== Starting: cd /home/mlcomp/worker2/scratch/program0/../program4 && ./run evaluate '/home/mlcomp/worker2/scratch/program0/../dataset2/train' '/home/mlcomp/worker2/scratch/program0/evalTrain.out'
=== Finished: cd /home/mlcomp/worker2/scratch/program0/../program4 && ./run evaluate '/home/mlcomp/worker2/scratch/program0/../dataset2/train' '/home/mlcomp/worker2/scratch/program0/evalTrain.out' --- OK [0s]
=== Starting: cd /home/mlcomp/worker2/scratch/program0/../program3 && ./run stripLabels '/home/mlcomp/worker2/scratch/program0/../dataset2/test' '/home/mlcomp/worker2/scratch/program0/evalTest.in'
=== Finished: cd /home/mlcomp/worker2/scratch/program0/../program3 && ./run stripLabels '/home/mlcomp/worker2/scratch/program0/../dataset2/test' '/home/mlcomp/worker2/scratch/program0/evalTest.in' --- OK [1s]
=== Starting: cd /home/mlcomp/worker2/scratch/program0/../program1 && ./run predict '/home/mlcomp/worker2/scratch/program0/evalTest.in' '/home/mlcomp/worker2/scratch/program0/evalTest.out'
[1] "/home/mlcomp/worker2/scratch/program0/evalTest.in"
[1] "/home/mlcomp/worker2/scratch/program0/evalTest.out"
=== Finished: cd /home/mlcomp/worker2/scratch/program0/../program1 && ./run predict '/home/mlcomp/worker2/scratch/program0/evalTest.in' '/home/mlcomp/worker2/scratch/program0/evalTest.out' --- OK [0s]
=== Starting: cd /home/mlcomp/worker2/scratch/program0/../program4 && ./run evaluate '/home/mlcomp/worker2/scratch/program0/../dataset2/test' '/home/mlcomp/worker2/scratch/program0/evalTest.out'
=== Finished: cd /home/mlcomp/worker2/scratch/program0/../program4 && ./run evaluate '/home/mlcomp/worker2/scratch/program0/../dataset2/test' '/home/mlcomp/worker2/scratch/program0/evalTest.out' --- OK [0s]

real	0m2.836s
user	0m2.072s
sys	0m0.324s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) lester-mf_rsgd-r: Matrix factorization via regularized stochastic gradient descent. Uses number of factors (K) = 10, learning rate = .01, regularization = .01. Takes 10 passes through the training set.
  • (dataset:Dataset) collaborativefiltering-sample: a toy dataset for testing collaborative filtering programs.
  • (stripper:Program[Strip]) collaborativefiltering-utils: Validates, inspects, and evaluates a dataset in CollaborativeFiltering format.
  • (evaluator:Program[Evaluate]) collaborativefiltering-utils: Validates, inspects, and evaluates a dataset in CollaborativeFiltering format.

Results

• doTest:
  • evaluate:
    • meanAbsoluteError: 2.5415920475
    • meanSquaredError: 7.57516007998693
    • numExamples: 4
    • rootMeanSquaredError: 2.75230087017879
    • success: true
    • time: 0
  • predict:
    • success: true
    • time: 0
  • strip:
    • success: true
    • time: 1
• doTrain:
  • evaluate:
    • meanAbsoluteError: 2.733720728
    • meanSquaredError: 8.3544063546777
    • numExamples: 5
    • rootMeanSquaredError: 2.8903989957578
    • success: true
    • time: 0
  • predict:
    • success: true
    • time: 0
  • strip:
    • success: true
    • time: 1
• exitCode: 0
• learn:
  • success: true
  • time: 0
• success: true

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