objet code for the Optimzer algorithm

git-svn-id: https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk@1637 1f5c12ca-751b-0410-a591-d2e778427230

1 files changed, 55 insertions, 0 deletions

diff --git a/mert/Optimizer.h b/mert/Optimizer.h
new file mode 100644
index 000000000..98ba8519a
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+++ b/mert/Optimizer.h
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+#ifndef OPTIMIZER_H
+#define OPTIMIZER_H
+#include<vector>
+#include "FeatureStats.h"
+#include "FeatureData.h"
+#include "FeatureArray.h"
+#include "scorer.h"
+#include "point.h"
+
+
+
+typedef float featurescore;
+
+
+
+
+using namespace std;
+/**virtual class*/
+class Optimizer{
+ public:
+   Scorer * scorer; 
+   FeatureData * FData; 
+   /**number of lambda parameters*/ 
+  unsigned dimension;
+  Optimizer(unsigned d):dimension(d),scorer(NULL),FData(NULL){};
+  void SetScorer(Scorer *S);
+  void SetFData(FeatureData *F);
+  ~Optimizer(){
+    delete scorer;
+    delete FData;
+  }
+  /**Number of sentences in the tuning set*/
+  unsigned N;
+  /**main function that perform an optimization*/
+  virtual  point run(const point& init);
+  /**given a set of lambdas, get the nbest for each sentence*/
+  vector<unsigned> Get1bests(const point& param);
+  /**given a set of nbests, get the Statistical score*/
+  statscore Getstatscore(vector<unsigned> nbests){scorer->score(nbests);};
+  /**given a set of lambdas, get the total statistical score*/
+  statscore Getstatscore(const point& param){return Getstatscore(Get1bests(param));};
+  statscore LineOptimize(const point& start,point direction,point& best);//Get the optimal Lambda and the best score in a particular direction from a given point
+}
+
+using namespace std;
+/**default basic  optimizer*/
+class SimpleOptimizer: public Optimizer{
+private: float eps;
+public:
+  SimpleOptimizer(unsigned dim,float _eps):Optimizer(dim),eps(_eps){};
+  point run(const point& init);
+}
+
+#endif
+