From dba017629ff32bbd0af8770ddee88082bb626bee Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@allegro.clab.cs.cmu.edu>
Date: Tue, 28 Jan 2014 00:18:31 -0500
Subject: fix initialization of lagrange multipliers

---
 training/mira/kbest_cut_mira.cc | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

(limited to 'training')

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;
-- 
cgit v1.2.3


From 3e22fcc3569a2855f691be4e3ee81f644b926c04 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@allegro.clab.cs.cmu.edu>
Date: Tue, 28 Jan 2014 02:36:03 -0500
Subject: what did i do

---
 training/mira/mira.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'training')

diff --git a/training/mira/mira.py b/training/mira/mira.py
index d5a1d9f8..c84a8cff 100755
--- a/training/mira/mira.py
+++ b/training/mira/mira.py
@@ -443,7 +443,7 @@ def optimize(args, script_dir, dev_size):
     new_weights_file = '{}/weights.{}'.format(args.output_dir, i+1)
     last_weights_file = '{}/weights.{}'.format(args.output_dir, i)
     i += 1
-    weight_files = args.output_dir+'/weights.pass*/weights.mira-pass*[0-9].gz'
+    weight_files = weightdir+'/weights.mira-pass*.*[0-9].gz'
     average_weights(new_weights_file, weight_files)
 
   logging.info('BEST ITERATION: {} (SCORE={})'.format(
-- 
cgit v1.2.3