fix, cleaned up headers

1 files changed, 12 insertions, 12 deletions

diff --git a/training/dtrain/examples/standard/dtrain.ini b/training/dtrain/examples/standard/dtrain.ini
index e1072d30..23e94285 100644
--- a/training/dtrain/examples/standard/dtrain.ini
+++ b/training/dtrain/examples/standard/dtrain.ini
@@ -10,15 +10,15 @@ print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 Phr
 stop_after=10 # stop epoch after 10 inputs
 
 # interesting stuff
-epochs=2                # run over input 2 times
-k=100                   # use 100best lists
-N=4                     # optimize (approx) BLEU4
-scorer=stupid_bleu      # use 'stupid' BLEU+1
-learning_rate=1.0       # learning rate, don't care if gamma=0 (perceptron)
-gamma=0                 # use SVM reg
-sample_from=kbest       # use kbest lists (as opposed to forest)
-filter=uniq             # only unique entries in kbest (surface form)
-pair_sampling=XYX       #
-hi_lo=0.1               # 10 vs 80 vs 10 and 80 vs 10 here
-pair_threshold=0        # minimum distance in BLEU (here: > 0)
-loss_margin=0           # update if correctly ranked, but within this margin
+epochs=2                 # run over input 2 times
+k=100                    # use 100best lists
+N=4                      # optimize (approx) BLEU4
+scorer=fixed_stupid_bleu # use 'stupid' BLEU+1
+learning_rate=1.0        # learning rate, don't care if gamma=0 (perceptron)
+gamma=0                  # use SVM reg
+sample_from=kbest        # use kbest lists (as opposed to forest)
+filter=uniq              # only unique entries in kbest (surface form)
+pair_sampling=XYX        #
+hi_lo=0.1                # 10 vs 80 vs 10 and 80 vs 10 here
+pair_threshold=0         # minimum distance in BLEU (here: > 0)
+loss_margin=0            # update if correctly ranked, but within this margin