diff options
author | Patrick Simianer <p@simianer.de> | 2014-01-28 15:35:31 +0100 |
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committer | Patrick Simianer <p@simianer.de> | 2014-01-28 15:35:31 +0100 |
commit | 9c9ba8954358f791a818b3eefda2c0eb805bbd97 (patch) | |
tree | 0153350406bf1c9c6aafa8e5da5d4b3feb9cd0c9 /training/mira/kbest_cut_mira.cc | |
parent | 1b0d40959f529b67db3b9d10dbf93101e0c65c7c (diff) | |
parent | 19de646f60d4fb52ddd26d25e06f50f8717fd988 (diff) |
resolv conflict in mira
Diffstat (limited to 'training/mira/kbest_cut_mira.cc')
-rw-r--r-- | training/mira/kbest_cut_mira.cc | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/training/mira/kbest_cut_mira.cc b/training/mira/kbest_cut_mira.cc index 9415909e..9de57f5f 100644 --- a/training/mira/kbest_cut_mira.cc +++ b/training/mira/kbest_cut_mira.cc @@ -134,6 +134,7 @@ static const int MAX_SMO = 10; int cur_pass; struct HypothesisInfo { + HypothesisInfo() : mt_metric(), hope(), fear(), alpha(), oracle_loss() {} SparseVector<double> features; vector<WordID> hyp; double mt_metric; @@ -415,8 +416,9 @@ struct TrainingObserver : public DecoderObserver { template <class Filter> void UpdateOracles(int sent_id, const Hypergraph& forest) { - if (stream) sent_id = 0; + if (stream) sent_id = 0; bool PRINT_LIST= false; + assert(sent_id < oracles.size()); vector<boost::shared_ptr<HypothesisInfo> >& cur_good = oracles[sent_id].good; vector<boost::shared_ptr<HypothesisInfo> >& cur_bad = oracles[sent_id].bad; //TODO: look at keeping previous iterations hypothesis lists around @@ -813,7 +815,6 @@ int main(int argc, char** argv) { } else if(optimizer == 1) //sgd - nonadapted step size { - lambdas += (cur_good.features) * max_step_size; lambdas -= (cur_bad.features) * max_step_size; } @@ -932,10 +933,11 @@ int main(int argc, char** argv) { lambdas += (cur_pair[1]->features) * step_size; lambdas -= (cur_pair[0]->features) * step_size; if (VERBOSE) cerr << " Lambdas " << lambdas << endl; - //reload weights based on update + //reload weights based on update dense_weights.clear(); lambdas.init_vector(&dense_weights); + ShowLargestFeatures(dense_weights); dense_w_local = dense_weights; iter++; @@ -974,7 +976,7 @@ int main(int argc, char** argv) { for(int u=0;u!=cur_constraint.size();u++) { - cerr << cur_constraint[u]->alpha << " " << cur_constraint[u]->hope << " " << cur_constraint[u]->fear << endl; + cerr << "alpha=" << cur_constraint[u]->alpha << " hope=" << cur_constraint[u]->hope << " fear=" << cur_constraint[u]->fear << endl; temp_objective += cur_constraint[u]->alpha * cur_constraint[u]->fear; } objective += temp_objective; |