cdec cfg './cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ./nc-wmt11.en.srilm.gz
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
****************************************************************************************************
  Example feature: Shape_S00000_T00000
Seeding random number sequence to 970626287

dtrain
Parameters:
                       k 100
                       N 4
                       T 2
                  scorer 'fixed_stupid_bleu'
             sample from 'kbest'
                  filter 'uniq'
           learning rate 1
                   gamma 0
             loss margin 0
       faster perceptron 1
                   pairs 'XYX'
                   hi lo 0.1
          pair threshold 0
          select weights 'VOID'
                  l1 reg 0 'none'
               max pairs 4294967295
                cdec cfg './cdec.ini'
                   input './nc-wmt11.de.gz'
                    refs './nc-wmt11.en.gz'
                  output '-'
              stop_after 10
(a dot represents 10 inputs)
Iteration #1 of 2.
 . 10
Stopping after 10 input sentences.
WEIGHTS
              Glue = -614
       WordPenalty = +1256.8
     LanguageModel = +5610.5
 LanguageModel_OOV = -1449
     PhraseModel_0 = -2107
     PhraseModel_1 = -4666.1
     PhraseModel_2 = -2713.5
     PhraseModel_3 = +4204.3
     PhraseModel_4 = -1435.8
     PhraseModel_5 = +916
     PhraseModel_6 = +190
       PassThrough = -2527
        ---
       1best avg score: 0.17874 (+0.17874)
 1best avg model score: 88399 (+88399)
           avg # pairs: 798.2 (meaningless)
        avg # rank err: 798.2
     avg # margin viol: 0
    non0 feature count: 887
           avg list sz: 91.3
           avg f count: 126.85
(time 0.33 min, 2 s/S)

Iteration #2 of 2.
 . 10
WEIGHTS
              Glue = -1025
       WordPenalty = +1751.5
     LanguageModel = +10059
 LanguageModel_OOV = -4490
     PhraseModel_0 = -2640.7
     PhraseModel_1 = -3757.4
     PhraseModel_2 = -1133.1
     PhraseModel_3 = +1837.3
     PhraseModel_4 = -3534.3
     PhraseModel_5 = +2308
     PhraseModel_6 = +1677
       PassThrough = -6222
        ---
       1best avg score: 0.30764 (+0.12891)
 1best avg model score: -2.5042e+05 (-3.3882e+05)
           avg # pairs: 725.9 (meaningless)
        avg # rank err: 725.9
     avg # margin viol: 0
    non0 feature count: 1499
           avg list sz: 91.3
           avg f count: 114.34
(time 0.32 min, 1.9 s/S)

Writing weights file to '-' ...
done

---
Best iteration: 2 [SCORE 'fixed_stupid_bleu'=0.30764].
This took 0.65 min.