made pair sampling configurable

1 files changed, 5 insertions, 4 deletions

diff --git a/dtrain/test/example/dtrain.ini b/dtrain/test/example/dtrain.ini
index b59250f3..cd2c75e7 100644
--- a/dtrain/test/example/dtrain.ini
+++ b/dtrain/test/example/dtrain.ini
@@ -1,5 +1,5 @@
 input=test/example/nc-wmt11.1k.gz    # use '-' for STDIN
-output=weights.gz                    # a weights file (add .gz for gzip compression) or STDOUT '-'
+output=-                             # a weights file (add .gz for gzip compression) or STDOUT '-'
 decoder_config=test/example/cdec.ini # config for cdec
 # weights for these features will be printed on each iteration
 print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough
@@ -10,11 +10,12 @@ stop_after=100 # stop epoch after 100 inputs
 epochs=3                # run over input 3 times
 k=100                   # use 100best lists
 N=4                     # optimize (approx) BLEU4
-scorer=stupid_bleu      # use 'stupid' BLEU+1
+scorer=approx_bleu      # use 'stupid' BLEU+1
 learning_rate=0.0001    # learning rate
 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=108010    # 10 vs 80 vs 10 and 80 vs 10
+pair_sampling=XYX
+hi_lo=0.1               # 10 vs 80 vs 10 and 80 vs 10
 pair_threshold=0        # minimum distance in BLEU (this will still only use pairs with diff > 0)
-select_weights=last     # just output last weights
+select_weights=VOID     # don't output weights