int main(void) {
es2();
return 0;
}
int main()
{
int n=10;
int a[n];
int ris=es2(a,n);
}
double FC_cv::compute_energyscore(void)
{
unsigned s,i,j;
unsigned S = sampled_responses.cols();
unsigned I = sampled_responses.rows();
//double * srp = sampled_responses.getV();
// double * esp1;
// double * esp2;
datamatrix es1 = datamatrix(nrcat,S,0);
datamatrix es2 = datamatrix(nrcat,S,0);
/*
for (i=0;i<I;i++)
{
esp1 = es1.getV()+ind(i,0)*S;
esp2 = es2.getV()+ind(i,0)*S;
for (s=0;s<S-1;s++,srp++,esp1++,esp2++)
{
*esp1 += pow(sampled_responses(i,s)-likep->response_untransformed(i,0),2);
*esp2 += pow(sampled_responses(i,s+1)-sampled_responses(i,s),2);
}
esp1++;
*esp1 += pow(sampled_responses(i,s)-likep->response_untransformed(i,0),2);
}
*/
unsigned in;
for (i=0;i<I;i++)
{
in = ind(i,0);
for (s=0;s<S-1;s++)
{
es1(in,s) += pow(sampled_responses(i,s)-likep->response(i,0),2);
es2(in,s) += pow(sampled_responses(i,s+1)-sampled_responses(i,s),2);
}
es1(in,S-1) += pow(sampled_responses(i,s)-likep->response(i,0),2);
}
// ofstream out("c:\\bayesx\\testh\\results\\es1.res");
// es1.prettyPrint(out);
if (e_score.rows() != nrcat)
e_score = datamatrix(nrcat,1,0);
double h;
for (j=0;j<nrcat;j++)
{
for (s=0;s<S;s++)
e_score(j,0) += sqrt(es1(j,s));
e_score(j,0) /= S;
h=0;
for(s=0;s<S-1;s++)
h += sqrt(es2(j,s));
e_score(j,0) -= h/(2*(S-1));
}
return e_score.mean(0);
}
