1 files changed, 1 insertions, 65 deletions
diff --git a/training/dtrain/kbestget.h b/training/dtrain/kbestget.h
index dd8882e1..85252db3 100644
--- a/training/dtrain/kbestget.h
+++ b/training/dtrain/kbestget.h
@@ -1,76 +1,12 @@
 #ifndef _DTRAIN_KBESTGET_H_
 #define _DTRAIN_KBESTGET_H_
 
-#include "kbest.h" // cdec
-#include "sentence_metadata.h"
-
-#include "verbose.h"
-#include "viterbi.h"
-#include "ff_register.h"
-#include "decoder.h"
-#include "weights.h"
-#include "logval.h"
-
-using namespace std;
+#include "kbest.h"
 
 namespace dtrain
 {
 
 
-typedef double score_t;
-
-struct ScoredHyp
-{
-  vector<WordID> w;
-  SparseVector<double> f;
-  score_t model;
-  score_t score;
-  unsigned rank;
-};
-
-struct LocalScorer
-{
-  unsigned N_;
-  vector<score_t> w_;
-
-  virtual score_t
-  Score(vector<WordID>& hyp, vector<WordID>& ref, const unsigned rank, const unsigned src_len)=0;
-
-  void Reset() {} // only for approx bleu
-
-  inline void
-  Init(unsigned N, vector<score_t> weights)
-  {
-    assert(N > 0);
-    N_ = N;
-    if (weights.empty()) for (unsigned i = 0; i < N_; i++) w_.push_back(1./N_);
-    else w_ = weights;
-  }
-
-  inline score_t
-  brevity_penalty(const unsigned hyp_len, const unsigned ref_len)
-  {
-    if (hyp_len > ref_len) return 1;
-    return exp(1 - (score_t)ref_len/hyp_len);
-  }
-};
-
-struct HypSampler : public DecoderObserver
-{
-  LocalScorer* scorer_;
-  vector<WordID>* ref_;
-  unsigned f_count_, sz_;
-  virtual vector<ScoredHyp>* GetSamples()=0;
-  inline void SetScorer(LocalScorer* scorer) { scorer_ = scorer; }
-  inline void SetRef(vector<WordID>& ref) { ref_ = &ref; }
-  inline unsigned get_f_count() { return f_count_; }
-  inline unsigned get_sz() { return sz_; }
-};
-////////////////////////////////////////////////////////////////////////////////
-
-
-
-
 struct KBestGetter : public HypSampler
 {
   const unsigned k_;