From 74bdfce7e86d69f1a03ad1dcdf4711838285f529 Mon Sep 17 00:00:00 2001
From: Patrick Simianer <p@simianer.de>
Date: Wed, 24 Jun 2015 11:31:05 +0200
Subject: rm

---
 training/dtrain/sample_net.h | 61 --------------------------------------------
 1 file changed, 61 deletions(-)
 delete mode 100644 training/dtrain/sample_net.h

(limited to 'training/dtrain')

diff --git a/training/dtrain/sample_net.h b/training/dtrain/sample_net.h
deleted file mode 100644
index 497149d9..00000000
--- a/training/dtrain/sample_net.h
+++ /dev/null
@@ -1,61 +0,0 @@
-#ifndef _DTRAIN_SAMPLE_NET_H_
-#define _DTRAIN_SAMPLE_NET_H_
-
-#include "kbest.h"
-
-#include "score.h"
-
-namespace dtrain
-{
-
-struct ScoredKbest : public DecoderObserver
-{
-  const size_t k_;
-  size_t feature_count_, effective_sz_;
-  vector<ScoredHyp> samples_;
-  PerSentenceBleuScorer* scorer_;
-  vector<Ngrams>* ref_ngs_;
-  vector<size_t>* ref_ls_;
-  bool dont_score;
-
-  ScoredKbest(const size_t k, PerSentenceBleuScorer* scorer) :
-    k_(k), scorer_(scorer), dont_score(false) {}
-
-  virtual void
-  NotifyTranslationForest(const SentenceMetadata& smeta, Hypergraph* hg)
-  {
-    samples_.clear(); effective_sz_ = feature_count_ = 0;
-    KBest::KBestDerivations<vector<WordID>, ESentenceTraversal,
-      KBest::FilterUnique, prob_t, EdgeProb> kbest(*hg, k_);
-    for (size_t i = 0; i < k_; ++i) {
-      const KBest::KBestDerivations<vector<WordID>, ESentenceTraversal,
-            KBest::FilterUnique, prob_t, EdgeProb>::Derivation* d =
-              kbest.LazyKthBest(hg->nodes_.size() - 1, i);
-      if (!d) break;
-      ScoredHyp h;
-      h.w = d->yield;
-      h.f = d->feature_values;
-      h.model = log(d->score);
-      h.rank = i;
-      if (!dont_score)
-        h.gold = scorer_->Score(h.w, *ref_ngs_, *ref_ls_);
-      samples_.push_back(h);
-      effective_sz_++;
-      feature_count_ += h.f.size();
-    }
-  }
-
-  vector<ScoredHyp>* GetSamples() { return &samples_; }
-  inline void SetReference(vector<Ngrams>& ngs, vector<size_t>& ls)
-  {
-    ref_ngs_ = &ngs;
-    ref_ls_ = &ls;
-  }
-  inline size_t GetFeatureCount() { return feature_count_; }
-  inline size_t GetSize() { return effective_sz_; }
-};
-
-} // namespace
-
-#endif
-
-- 
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