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Diffstat (limited to 'dtrain/test/example/dtrain.ini')
| -rw-r--r-- | dtrain/test/example/dtrain.ini | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/dtrain/test/example/dtrain.ini b/dtrain/test/example/dtrain.ini index 8338b2d3..72d50ca1 100644 --- a/dtrain/test/example/dtrain.ini +++ b/dtrain/test/example/dtrain.ini @@ -1,18 +1,18 @@ input=test/example/nc-wmt11.1k.gz # use '-' for STDIN output=- # a weights file (add .gz for gzip compression) or STDOUT '-' -select_weights=VOID # don't output weights +select_weights=VOID # don't output weights 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 tmp=/tmp -stop_after=100 # stop epoch after 10 inputs +stop_after=10 # stop epoch after 10 inputs # interesting stuff -epochs=3 # run over input 3 times +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=0.0001 # learning rate +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) |