void FeatureStats::Copy(const FeatureStats &stats)
{
m_available_size = stats.available();
m_entries = stats.size();
m_array = new FeatureStatsType[m_available_size];
memcpy(m_array, stats.getArray(), GetArraySizeWithBytes());
m_map = stats.getSparse();
}
void Data::outputSample( ostream &out, const FeatureStats &f1, const FeatureStats &f2 )
{
// difference in score in regular features
for(unsigned int j=0; j<f1.size(); j++)
if (abs(f1.get(j)-f2.get(j)) > 0.00001)
out << " F" << j << " " << (f1.get(j)-f2.get(j));
if (!hasSparseFeatures())
return;
out << " ";
// sparse features
const SparseVector &s1 = f1.getSparse();
const SparseVector &s2 = f2.getSparse();
SparseVector diff = s1 - s2;
diff.write(out);
}