/*
* calculates the weighted term vector according to the given scoring method
*/
void Patent::calc_target_wvec(DfTable& dft, Scorer& scorer) {
target_wvec.clear();
//const int len = target_tfvec.size();
const double len = vutils::vector_values_sum(target_tfvec).as_float();
for(TermVector::iterator it = target_tfvec.begin(); it != target_tfvec.end(); ++it) {
if (dft[it->first] == 0.0)
cerr << ucid << ": suspicious df for '" << TD::Convert(it->first)
<< "': " << dft.mTable[it->first]
<< ". Skipping this term!" << endl;
target_wvec[it->first] = scorer.computeWeight(it->second,dft[it->first],len);
}
// normalize weighted term vector
vutils::normalize_vector(target_wvec);
}
