From 538bc2149631e989e4806165632c5460c3514670 Mon Sep 17 00:00:00 2001
From: graehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Fri, 16 Jul 2010 01:57:08 +0000
Subject: oracle refactor, oracle vest directions, sparse_vector

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@280 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 decoder/oracle_bleu.h | 28 +++++++++++++++-------------
 1 file changed, 15 insertions(+), 13 deletions(-)

(limited to 'decoder/oracle_bleu.h')

diff --git a/decoder/oracle_bleu.h b/decoder/oracle_bleu.h
index b58117c1..cc19fbca 100755
--- a/decoder/oracle_bleu.h
+++ b/decoder/oracle_bleu.h
@@ -17,6 +17,7 @@
 #include "apply_models.h"
 #include "kbest.h"
 #include "timing_stats.h"
+#include "sentences.h"
 
 //TODO: put function impls into .cc
 //TODO: disentangle
@@ -44,7 +45,7 @@ struct Translation {
 
 };
 
-struct Oracles {
+struct Oracle {
   bool is_null() {
     return model.is_null() /* && fear.is_null() && hope.is_null() */;
   }
@@ -52,13 +53,13 @@ struct Oracles {
   Translation model,fear,hope;
   // feature 0 will be the error rate in fear and hope
   // move toward hope
-  FeatureVector ModelHopeGradient() {
+  FeatureVector ModelHopeGradient() const {
     FeatureVector r=hope.features-model.features;
     r.set_value(0,0);
     return r;
   }
   // move toward hope from fear
-  FeatureVector FearHopeGradient() {
+  FeatureVector FearHopeGradient() const {
     FeatureVector r=hope.features-fear.features;
     r.set_value(0,0);
     return r;
@@ -150,9 +151,9 @@ struct OracleBleu {
   }
 
   // destroys forest (replaces it w/ rescored oracle one)
-  Oracles ComputeOracles(SentenceMetadata & smeta,Hypergraph *forest_in_out,WeightVector const& feature_weights,std::ostream *log=0,unsigned kbest=0,std::string const& forest_output="") {
+  Oracle ComputeOracle(SentenceMetadata const& smeta,Hypergraph *forest_in_out,WeightVector const& feature_weights,std::ostream *log=0,unsigned kbest=0,std::string const& forest_output="") {
     Hypergraph &forest=*forest_in_out;
-    Oracles r;
+    Oracle r;
     int sent_id=smeta.GetSentenceID();
     r.model=Translation(forest);
     if (kbest) DumpKBest("model",sent_id, forest, kbest, true, forest_output);
@@ -169,23 +170,24 @@ struct OracleBleu {
     if (kbest) DumpKBest("negative",sent_id, forest, kbest, true, forest_output);
     return r;
   }
-  typedef std::vector<WordID> Sentence;
 
-  void Rescore(SentenceMetadata & smeta,Hypergraph const& forest,Hypergraph *dest_forest,WeightVector const& feature_weights,double bleu_weight=1.0,std::ostream *log=&std::cerr) {
+  void Rescore(SentenceMetadata const& smeta,Hypergraph const& forest,Hypergraph *dest_forest,WeightVector const& feature_weights,double bleu_weight=1.0,std::ostream *log=&std::cerr) {
     // the sentence bleu stats will get added to doc only if you call IncludeLastScore
     sentscore=GetScore(forest,smeta.GetSentenceID());
 	if (!doc_score) { doc_score.reset(sentscore->GetOne()); }
 	tmp_src_length = smeta.GetSourceLength(); //TODO: where does this come from?
     using namespace std;
-    ModelSet oracle_models(WeightVector(bleu_weight,1),vector<FeatureFunction const*>(1,pff.get()));
-    const IntersectionConfiguration inter_conf_oracle(0, 0);
+    DenseWeightVector w;
+    feature_weights_=feature_weights;
+    feature_weights_.set_value(0,bleu_weight);
+    feature_weights.init_vector(&w);
+    ModelSet oracle_models(w,vector<FeatureFunction const*>(1,pff.get()));
 	if (log) *log << "Going to call Apply Model " << endl;
 	ApplyModelSet(forest,
                   smeta,
                   oracle_models,
-                  inter_conf_oracle,
+                  IntersectionConfiguration(exhaustive_t()),
                   dest_forest);
-    feature_weights_=feature_weights;
     ReweightBleu(dest_forest,bleu_weight);
   }
 
@@ -202,7 +204,7 @@ struct OracleBleu {
   }
 
   void ReweightBleu(Hypergraph *dest_forest,double bleu_weight=-1.) {
-    feature_weights_[0]=bleu_weight;
+    feature_weights_.set_value(0,bleu_weight);
 	dest_forest->Reweight(feature_weights_);
 //	dest_forest->SortInEdgesByEdgeWeights();
   }
@@ -227,7 +229,7 @@ struct OracleBleu {
           kbest.LazyKthBest(forest.nodes_.size() - 1, i);
         if (!d) break;
         //calculate score in context of psuedo-doc
-        Score* sentscore = GetScore(d->yield,sent_id);
+        ScoreP sentscore = GetScore(d->yield,sent_id);
         sentscore->PlusEquals(*doc_score,float(1));
         float bleu = curr_src_length * sentscore->ComputeScore();
         kbest_out << sent_id << " ||| " << TD::GetString(d->yield) << " ||| "
-- 
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