refactoring, cleaning up

1 files changed, 61 insertions, 0 deletions

diff --git a/dtrain/kbestget.h b/dtrain/kbestget.h
new file mode 100644
index 00000000..6d93d3b7
--- /dev/null
+++ b/dtrain/kbestget.h
@@ -0,0 +1,61 @@
+#ifndef _DTRAIN_KBESTGET_H_
+#define _DTRAIN_KBESTGET_H_
+
+
+namespace dtrain
+{
+
+
+/*
+ * KBestList
+ *
+ */
+struct KBestList {
+  vector<SparseVector<double> > feats;
+  vector<vector<WordID> > sents;
+  vector<double> scores;
+};
+
+
+/*
+ * KBestGetter
+ *
+ */
+struct KBestGetter : public DecoderObserver
+{
+  KBestGetter( const size_t k ) : k_(k) {}
+  const size_t k_;
+  KBestList kb;
+
+  virtual void
+  NotifyTranslationForest(const SentenceMetadata& smeta, Hypergraph* hg)
+  {
+    GetKBest(smeta.GetSentenceID(), *hg);
+  }
+
+  KBestList* GetKBest() { return &kb; }
+
+  void
+  GetKBest(int sent_id, const Hypergraph& forest)
+  {
+    kb.scores.clear();
+    kb.sents.clear();
+    kb.feats.clear();
+    KBest::KBestDerivations<vector<WordID>, ESentenceTraversal> kbest( forest, k_ );
+    for ( size_t i = 0; i < k_; ++i ) {
+      const KBest::KBestDerivations<vector<WordID>, ESentenceTraversal>::Derivation* d =
+        kbest.LazyKthBest( forest.nodes_.size() - 1, i );
+      if (!d) break;
+      kb.sents.push_back( d->yield);
+      kb.feats.push_back( d->feature_values );
+      kb.scores.push_back( d->score );
+    }
+  }
+};
+
+
+} // namespace
+
+
+#endif
+