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https://github.com/moses-smt/mosesdecoder.git
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bfe3661110
git-svn-id: https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk@1695 1f5c12ca-751b-0410-a591-d2e778427230
42 lines
1.3 KiB
C++
42 lines
1.3 KiB
C++
#ifndef POINT_H
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#define POINT_H
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#include <vector>
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#include "FeatureStats.h"
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#include <cassert>
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typedef float lambda,statscore;
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class Optimizer;
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/**class that handle the subset of the Feature weight on which we run the optimization*/
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class Point:public vector<lambda>{
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friend class Optimizer;
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private:
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/**The indices over which we optimize*/
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static vector<unsigned> optindices;
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/**dimension of optindices and of the parent vector*/
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static unsigned dim;
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/**fixed weights in case of partial optimzation*/
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static map<unsigned,lambda> fixedweights;
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/**total size of the parameter space; we have pdim=FixedWeight.size()+optinidices.size()*/
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static unsigned pdim;
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public:
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static unsigned getdim(){return dim;}
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static unsigned getpdim(){return pdim;}
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static bool OptimizeAll(){return fixedweights.empty();};
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statscore score;
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Point():vector<lambda>(dim){};
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Point(vector<lambda> init):vector<lambda>(init){assert(init.size()==dim);};
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void Randomize(const std::vector<lambda>&min,const std::vector<lambda>& max);
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double operator*(const FeatureStats&)const;//compute the feature function
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Point operator+(const Point&)const;
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Point operator*(float)const;
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void Normalize();
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/**return a vector of size pdim where all weights have been put*/
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vector<lambda> GetAllWeights()const;
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};
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#endif
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