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/**
\file kmm_stat.hpp
\brief maximum-liklihood statistic
\author Junhua Gu
*/
#ifndef KMM_STAT_HPP
#define KMM_STAT_HPP
#define OPT_HEADER
#include <core/fitter.hpp>
#include <math/vector_operation.hpp>
#include <distributions/kmm_component.hpp>
#include <iostream>
#include <cassert>
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 T,typename Ts,typename Tstr>
class kmm_stat
:public statistic<optvec<T>,optvec<T>,optvec<T>,Ts,Tstr>
{
private:
bool verb;
int n;
public:
kmm_stat()
:verb(true)
{}
void verbose(bool v)
{
verb=v;
}
const char* do_get_type_name()const
{
return "kmm likelihood";
}
public:
statistic<optvec<T>,optvec<T>,optvec<T>,Ts,Tstr>* do_clone()const
{
// return const_cast<statistic<Ty,Tx,Tp>*>(this);
return new kmm_stat<T,Ts,Tstr>(*this);
}
Ts do_eval(const optvec<T>& p)
{
Ts result(0);
kmm_component<T>* kmm=
dynamic_cast<kmm_component<T>* >(&const_cast<model<optvec<T>,optvec<T>,optvec<T>,std::string>&>(this->get_fitter().get_model()));
if(kmm==0)
{
throw opt_exception("model is not a kmm component");
}
for(int i=(this->get_data_set()).size()-1;i>=0;--i)
{
optvec<T> unsummed_possibility(kmm->eval_unsumed(this->get_data_set().get_data(i).get_x(),p));
T maxp=*max_element(unsummed_possibility.begin(),unsummed_possibility.end());
T logp=std::log(maxp);
result-=this->get_data_set().get_data(i).get_y()[0]*logp;
}
if(verb)
{
n++;
if(n%10==0)
{
cout<<"a:"<<result<<"\t";
for(size_t i=0;i<get_size(p);++i)
{
cout<<get_element(p,i)<<",";
}
cout<<endl;
}
}
return result;
}
};
}
#endif
//EOF
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