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/**
\file cstat.hpp
*/
#ifndef CSTAT_HPP
#define CSTAT_HPP
#define OPT_HEADER
#include <core/fitter.hpp>
#include <iostream>
using std::cout;using std::endl;
namespace opt_utilities
{
/**
\brief c-statistic, max-likelihood method
\tparam Ty the return type of model
\tparam Tx the type of the self-var
\tparam Tp the type of model parameter
\tparam Ts the type of the statistic
\tparam Tstr the type of the string used
*/
template<typename Ty,typename Tx,typename Tp,typename Ts,typename Tstr>
class cstat
:public statistic<Ty,Tx,Tp,Ts,Tstr>
{
private:
bool verb;
int n;
public:
cstat()
:verb(true)
{}
void verbose(bool v)
{
verb=v;
}
public:
statistic<Ty,Tx,Tp,Ts,Tstr>* do_clone()const
{
// return const_cast<statistic<Ty,Tx,Tp>*>(this);
return new cstat<Ty,Tx,Tp,Ts,Tstr>(*this);
}
Ts do_eval(const Tp& p)
{
Ts result(0);
for(int i=(this->get_data_set()).size()-1;i>=0;--i)
{
Ty model_y=eval_model(this->get_data_set().get_data(i).get_x(),p);
result-=this->get_data_set().get_data(i).get_y()*std::log(model_y);
}
if(verb)
{
n++;
if(n%10==0)
{
cout<<"a:"<<result<<"\t";
for(int i=0;i<get_size(p);++i)
{
cout<<get_element(p,i)<<",";
}
cout<<endl;
}
}
return result;
}
};
}
#endif
//EOF
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