diff options
Diffstat (limited to 'training/dtrain/test/example')
| -rw-r--r-- | training/dtrain/test/example/README | 4 | ||||
| -rw-r--r-- | training/dtrain/test/example/cdec.ini | 2 | ||||
| -rw-r--r-- | training/dtrain/test/example/dtrain.ini | 4 |
3 files changed, 5 insertions, 5 deletions
diff --git a/training/dtrain/test/example/README b/training/dtrain/test/example/README index 6937b11b..2df77086 100644 --- a/training/dtrain/test/example/README +++ b/training/dtrain/test/example/README @@ -1,8 +1,8 @@ Small example of input format for distributed training. -Call dtrain from cdec/dtrain/ with ./dtrain -c test/example/dtrain.ini . +Call dtrain from this folder with ../../dtrain -c test/example/dtrain.ini . For this to work, undef 'DTRAIN_LOCAL' in dtrain.h and recompile. -Data is here: http://simianer.de/#dtrain +data can be found here: http://simianer.de/#dtrain diff --git a/training/dtrain/test/example/cdec.ini b/training/dtrain/test/example/cdec.ini index d5955f0e..068ebd4d 100644 --- a/training/dtrain/test/example/cdec.ini +++ b/training/dtrain/test/example/cdec.ini @@ -4,7 +4,7 @@ scfg_max_span_limit=15 intersection_strategy=cube_pruning cubepruning_pop_limit=30 feature_function=WordPenalty -feature_function=KLanguageModel test/example/nc-wmt11.en.srilm.gz +feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz # all currently working feature functions for translation: # (with those features active that were used in the ACL paper) #feature_function=ArityPenalty diff --git a/training/dtrain/test/example/dtrain.ini b/training/dtrain/test/example/dtrain.ini index 72d50ca1..97fce7f0 100644 --- a/training/dtrain/test/example/dtrain.ini +++ b/training/dtrain/test/example/dtrain.ini @@ -1,7 +1,7 @@ -input=test/example/nc-wmt11.1k.gz # use '-' for STDIN +input=./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 -decoder_config=test/example/cdec.ini # config for cdec +decoder_config=./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 |