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#include "kbestget.h"
namespace dtrain
{
struct TPair
{
double type;
SparseVector<double> first;
SparseVector<double> second;
};
typedef vector<TPair> TrainingInstances;
void
sample_all( KBestList* kb, TrainingInstances &training )
{
double type;
for ( size_t i = 0; i < kb->GetSize()-1; i++ ) {
for ( size_t j = i+1; j < kb->GetSize(); j++ ) {
if ( kb->scores[i] - kb->scores[j] < 0 ) {
type = -1;
} else {
type = 1;
}
TPair p;
p.type = type;
p.first = kb->feats[i];
p.second = kb->feats[j];
training.push_back( p );
}
}
}
/*void
sample_all_only_neg(, vector<pair<SparSparseVector<double> > pairs)
{
}
void
sample_random_pos()
{
if ( rand() % 2 ) { // sample it?
}*/
} // namespace
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