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#ifndef POINT_H
#define POINT_H
#include <fstream>
#include <map>
#include <vector>
#include "Types.h"
class FeatureStats;
class Optimizer;
/**
* A class that handles 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;
statscore_t score_;
public:
static unsigned int getdim() {
return dim;
}
static unsigned int getpdim() {
return pdim;
}
static void setpdim(size_t pd) {
pdim = pd;
}
static void setdim(size_t d) {
dim = d;
}
static bool OptimizeAll() {
return fixedweights.empty();
}
Point();
Point(const vector<parameter_t>& init,
const vector<parameter_t>& min,
const vector<parameter_t>& max);
~Point();
void Randomize();
// Compute the feature function
double operator*(const FeatureStats&) const;
Point operator+(const Point&) const;
void operator+=(const Point&);
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_;
}
void SetScore(statscore_t score) { score_ = score; }
};
#endif // POINT_H
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