mosesdecoder/mert/Point.h
bojar 1ba2de3c02 - cmert: added support for passing min and max values for weights
(used to be in old cmert but not in new cmert, i.e. moses/mert/)
- modified mert-moses.pl accordingly, esp. set min&max to 0&1 as it used to be
  hardwired in the new cmert
- adding mert-moses-ondrej.pl, a simplification of mert-moses.pl, please test it


git-svn-id: https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk@4066 1f5c12ca-751b-0410-a591-d2e778427230
2011-07-03 21:01:16 +00:00

66 lines
1.8 KiB
C++

#ifndef POINT_H
#define POINT_H
#include <vector>
#include "Types.h"
#include "FeatureStats.h"
#include <cassert>
class Optimizer;
/**class that handle the subset of the Feature weight on which we run the optimization*/
class Point:public vector<parameter_t>
{
friend class Optimizer;
private:
/**The indices over which we optimize*/
static vector<unsigned int> optindices;
/**dimension of optindices and of the parent vector*/
static unsigned int dim;
/**fixed weights in case of partial optimzation*/
static map<unsigned int,parameter_t> fixedweights;
/**total size of the parameter space; we have pdim=FixedWeight.size()+optinidices.size()*/
static unsigned int pdim;
static unsigned int ncall;
/**The limits for randomization, both vectors are of full length, pdim*/
static vector<parameter_t> m_min;
static vector<parameter_t> m_max;
public:
static unsigned int getdim() {
return dim;
}
static unsigned int getpdim() {
return pdim;
}
static bool OptimizeAll() {
return fixedweights.empty();
};
statscore_t score;
Point():vector<parameter_t>(dim) {};
Point(const vector<parameter_t>& init,
const vector<parameter_t>& min,
const vector<parameter_t>& max
);
void Randomize();
double operator*(const FeatureStats&)const;//compute the feature function
Point operator+(const Point&)const;
Point operator*(float)const;
/**write the Whole featureweight to a stream (ie pdim float)*/
friend ostream& operator<<(ostream& o,const Point& P);
void Normalize() {
NormalizeL2();
};
void NormalizeL2();
void NormalizeL1();
/**return a vector of size pdim where all weights have been put(including fixed ones)*/
vector<parameter_t> GetAllWeights()const;
statscore_t GetScore()const {
return score;
};
};
#endif