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-rw-r--r--mira/kbest_mira.cc4
1 files changed, 2 insertions, 2 deletions
diff --git a/mira/kbest_mira.cc b/mira/kbest_mira.cc
index 904eba74..9fda9b32 100644
--- a/mira/kbest_mira.cc
+++ b/mira/kbest_mira.cc
@@ -53,7 +53,7 @@ bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
("reference,r",po::value<vector<string> >(), "[REQD] Reference translation(s) (tokenized text file)")
("mt_metric,m",po::value<string>()->default_value("ibm_bleu"), "Scoring metric (ibm_bleu, nist_bleu, koehn_bleu, ter, combi)")
("max_step_size,C", po::value<double>()->default_value(0.01), "regularization strength (C)")
- ("mt_metric_scale,s", po::value<double>()->default_value(1.0), "Amount to scale MT loss function by")
+ //("mt_metric_scale,s", po::value<double>()->default_value(1.0), "Amount to scale MT loss function by")
("k_best_size,k", po::value<int>()->default_value(250), "Size of hypothesis list to search for oracles")
("sample_forest,f", "Instead of a k-best list, sample k hypotheses from the decoder's forest")
("sample_forest_unit_weight_vector,x", "Before sampling (must use -f option), rescale the weight vector used so it has unit length; this may improve the quality of the samples")
@@ -219,7 +219,7 @@ int main(int argc, char** argv) {
Weights::InitSparseVector(dense_weights, &lambdas);
const double max_step_size = conf["max_step_size"].as<double>();
- const double mt_metric_scale = conf["mt_metric_scale"].as<double>();
+ const double mt_metric_scale = 1.0;//conf["mt_metric_scale"].as<double>();
assert(corpus.size() > 0);
vector<GoodBadOracle> oracles(corpus.size());