diff options
| author | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2014-01-28 00:18:31 -0500 |
|---|---|---|
| committer | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2014-01-28 00:18:31 -0500 |
| commit | dba017629ff32bbd0af8770ddee88082bb626bee (patch) | |
| tree | ac96feab62339525d7f25a1df036f0393c1e98f1 /training/mira | |
| parent | 5ab6eb44d67a48ea5b366d8b2878f3da7ef960e4 (diff) | |
fix initialization of lagrange multipliers
Diffstat (limited to 'training/mira')
| -rw-r--r-- | training/mira/kbest_cut_mira.cc | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/training/mira/kbest_cut_mira.cc b/training/mira/kbest_cut_mira.cc index 990609d7..e0b6eecb 100644 --- a/training/mira/kbest_cut_mira.cc +++ b/training/mira/kbest_cut_mira.cc @@ -133,6 +133,7 @@ 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; @@ -414,8 +415,9 @@ 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 @@ -810,7 +812,6 @@ 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; } @@ -928,11 +929,11 @@ int main(int argc, char** argv) { lambdas += (cur_pair[1]->features) * step_size; lambdas -= (cur_pair[0]->features) * step_size; - 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++; @@ -971,7 +972,7 @@ 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; |