cdec cfg 'cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ../example/nc-wmt11.en.srilm.gz
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****************************************************************************************************
Seeding random number sequence to 3121929377

dtrain
Parameters:
                       k 100
                       N 4
                       T 1
                  scorer 'stupid_bleu'
             sample from 'kbest'
                  filter 'uniq'
           learning rate 0.0001
                   gamma 0
             loss margin 1
                   pairs 'XYX'
                   hi lo 0.1
          pair threshold 0
          select weights 'last'
                  l1 reg 0 'none'
               max pairs 4294967295
                cdec cfg 'cdec.ini'
                   input 'work/shard.0.0.in'
                    refs 'work/shard.0.0.refs'
                  output 'work/weights.0.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
  5
WEIGHTS
              Glue = +0.2663
       WordPenalty = -0.0079042
     LanguageModel = +0.44782
 LanguageModel_OOV = -0.0401
     PhraseModel_0 = -0.193
     PhraseModel_1 = +0.71321
     PhraseModel_2 = +0.85196
     PhraseModel_3 = -0.43986
     PhraseModel_4 = -0.44803
     PhraseModel_5 = -0.0538
     PhraseModel_6 = -0.1788
       PassThrough = -0.1477
        ---
       1best avg score: 0.17521 (+0.17521)
 1best avg model score: 21.556 (+21.556)
           avg # pairs: 1671.2
        avg # rank err: 1118.6
     avg # margin viol: 552.6
    non0 feature count: 12
           avg list sz: 100
           avg f count: 11.32
(time 0.37 min, 4.4 s/S)

Writing weights file to 'work/weights.0.0' ...
done

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Best iteration: 1 [SCORE 'stupid_bleu'=0.17521].
This took 0.36667 min.