mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-11-10 10:59:21 +03:00
124 lines
2.5 KiB
C++
124 lines
2.5 KiB
C++
#ifndef MERT_POINT_H_
|
|
#define MERT_POINT_H_
|
|
|
|
#include <ostream>
|
|
#include <map>
|
|
#include <vector>
|
|
#include "Types.h"
|
|
|
|
namespace MosesTuning
|
|
{
|
|
|
|
|
|
class FeatureStats;
|
|
class Optimizer;
|
|
|
|
/**
|
|
* A class that handles the subset of the Feature weight on which
|
|
* we run the optimization.
|
|
*/
|
|
class Point : public std::vector<parameter_t>
|
|
{
|
|
friend class Optimizer;
|
|
|
|
private:
|
|
/**
|
|
* The indices over which we optimize.
|
|
*/
|
|
static std::vector<unsigned int> m_opt_indices;
|
|
|
|
/**
|
|
* Dimension of m_opt_indices and of the parent vector.
|
|
*/
|
|
static unsigned int m_dim;
|
|
|
|
/**
|
|
* Fixed weights in case of partial optimzation.
|
|
*/
|
|
static std::map<unsigned int,parameter_t> m_fixed_weights;
|
|
|
|
/**
|
|
* Total size of the parameter space; we have
|
|
* m_pdim = FixedWeight.size() + optinidices.size().
|
|
*/
|
|
static unsigned int m_pdim;
|
|
static unsigned int m_ncall;
|
|
|
|
/**
|
|
* The limits for randomization, both vectors are of full length, m_pdim.
|
|
*/
|
|
static std::vector<parameter_t> m_min;
|
|
static std::vector<parameter_t> m_max;
|
|
|
|
statscore_t m_score;
|
|
|
|
public:
|
|
static unsigned int getdim() {
|
|
return m_dim;
|
|
}
|
|
static void setdim(std::size_t d) {
|
|
m_dim = d;
|
|
}
|
|
|
|
static unsigned int getpdim() {
|
|
return m_pdim;
|
|
}
|
|
static void setpdim(std::size_t pd) {
|
|
m_pdim = pd;
|
|
}
|
|
|
|
static void set_optindices(const std::vector<unsigned int>& indices) {
|
|
m_opt_indices = indices;
|
|
}
|
|
|
|
static const std::vector<unsigned int>& get_optindices() {
|
|
return m_opt_indices;
|
|
}
|
|
|
|
static bool OptimizeAll() {
|
|
return m_fixed_weights.empty();
|
|
}
|
|
|
|
Point();
|
|
Point(const std::vector<parameter_t>& init,
|
|
const std::vector<parameter_t>& min,
|
|
const std::vector<parameter_t>& max);
|
|
~Point();
|
|
|
|
void Randomize();
|
|
|
|
// Compute the feature function
|
|
double operator*(const FeatureStats&) const;
|
|
const Point operator+(const Point&) const;
|
|
void operator+=(const Point&);
|
|
const Point operator*(float) const;
|
|
|
|
/**
|
|
* Write the Whole featureweight to a stream (ie m_pdim float).
|
|
*/
|
|
friend std::ostream& operator<<(std::ostream& o,const Point& P);
|
|
|
|
void Normalize() {
|
|
NormalizeL2();
|
|
}
|
|
void NormalizeL2();
|
|
void NormalizeL1();
|
|
|
|
/**
|
|
* Return a vector of size m_pdim where all weights have been
|
|
* put (including fixed ones).
|
|
*/
|
|
void GetAllWeights(std::vector<parameter_t>& w) const;
|
|
|
|
statscore_t GetScore() const {
|
|
return m_score;
|
|
}
|
|
void SetScore(statscore_t score) {
|
|
m_score = score;
|
|
}
|
|
};
|
|
|
|
}
|
|
|
|
#endif // MERT_POINT_H
|