class to inplement a set of lambda parameter and their stat score

git-svn-id: https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk@1642 1f5c12ca-751b-0410-a591-d2e778427230

mert/Point.cpp

@@ -0,0 +1,25 @@
+#include "Point.h"
+#include<cmath>
+
+using namespace std;
+void Point::randomize(const vector<lambda>& min,const vector<lambda>& max){
+  for (int i=0; i<size(); i++)
+    operator[](i)= min[i] + (float)random()/RAND_MAX * (max[i]-min[i]);
+}
+
+void Point::normalize(){
+  lambda norm=0.0;
+  for (int i=0; i<size(); i++)
+    norm+= operator[](i)*operator[](i);
+  if(norm!=0.0){
+    norm=sqrt(norm);
+    for (int i=0; i<size(); i++)
+      operator[](i)/=norm;
+  }
+}
+
+double Point::operator*(FeatureStats& F)const{
+  double prod=0.0;
+for (int i=0; i<size(); i++)
+    prod+= operator[](i)*F.get(i);
+}

mert/Point.h

@@ -0,0 +1,17 @@
+#ifndef POINT_H
+#define POINT_H
+#include <vector>
+#include "FeatureStats.h"
+typedef float lambda,statscore;
+
+class Point: public std::vector<lambda>{
+ public:
+  statscore score;
+  Point(unsigned s):std::vector<lambda>(s,0.0){};
+  Point(vector<lambda> init):vector<lambda>(init),score(numeric_limits<statscore>::max()){};
+  void randomize(const std::vector<lambda>&min,const std::vector<lambda>& max);
+  double operator*(FeatureStats&)const;//compute the feature function
+  void normalize();
+};
+
+#endif