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// $Id$
#include <vector>
#include "ScoreComponentCollection.h"
#include "StaticData.h"
using namespace std;
namespace Moses
{
ScoreComponentCollection::ScoreIndexMap ScoreComponentCollection::s_scoreIndexes;
size_t ScoreComponentCollection::s_denseVectorSize = 0;
ScoreComponentCollection::ScoreComponentCollection() : m_scores(s_denseVectorSize)
{}
void ScoreComponentCollection::RegisterScoreProducer
(const FeatureFunction* scoreProducer)
{
size_t start = s_denseVectorSize;
size_t end = start + scoreProducer->GetNumScoreComponents();
VERBOSE(1, "FeatureFunction: " << scoreProducer->GetScoreProducerDescription() << " start: " << start << " end: " << end << endl);
s_scoreIndexes[scoreProducer] = pair<size_t,size_t>(start,end);
s_denseVectorSize = end;
}
float ScoreComponentCollection::GetWeightedScore() const
{
return m_scores.inner_product(StaticData::Instance().GetAllWeights().m_scores);
}
void ScoreComponentCollection::ZeroAllLM(const LMList& lmList)
{
for (LMList::const_iterator i = lmList.begin(); i != lmList.end(); ++i) {
Assign(*i, 0);
}
}
void ScoreComponentCollection::PlusEqualsAllLM(const LMList& lmList, const ScoreComponentCollection& rhs)
{
for (LMList::const_iterator i = lmList.begin(); i != lmList.end(); ++i) {
PlusEquals(*i,rhs);
}
}
void ScoreComponentCollection::MultiplyEquals(float scalar)
{
m_scores *= scalar;
}
// Multiply all weights of this sparse producer by a given scalar
void ScoreComponentCollection::MultiplyEquals(const FeatureFunction* sp, float scalar) {
std::string prefix = sp->GetScoreProducerDescription() + FName::SEP;
for(FVector::FNVmap::const_iterator i = m_scores.cbegin(); i != m_scores.cend(); i++) {
std::stringstream name;
name << i->first;
if (name.str().substr( 0, prefix.length() ).compare( prefix ) == 0)
m_scores[i->first] = i->second * scalar;
}
}
// Count weights belonging to this sparse producer
size_t ScoreComponentCollection::GetNumberWeights(const FeatureFunction* sp) {
std::string prefix = sp->GetScoreProducerDescription() + FName::SEP;
size_t weights = 0;
for(FVector::FNVmap::const_iterator i = m_scores.cbegin(); i != m_scores.cend(); i++) {
std::stringstream name;
name << i->first;
if (name.str().substr( 0, prefix.length() ).compare( prefix ) == 0)
weights++;
}
return weights;
}
void ScoreComponentCollection::DivideEquals(float scalar)
{
m_scores /= scalar;
}
void ScoreComponentCollection::CoreDivideEquals(float scalar)
{
m_scores.coreDivideEquals(scalar);
}
void ScoreComponentCollection::DivideEquals(const ScoreComponentCollection& rhs)
{
m_scores.divideEquals(rhs.m_scores);
}
void ScoreComponentCollection::MultiplyEquals(const ScoreComponentCollection& rhs)
{
m_scores *= rhs.m_scores;
}
void ScoreComponentCollection::MultiplyEqualsBackoff(const ScoreComponentCollection& rhs, float backoff)
{
m_scores.multiplyEqualsBackoff(rhs.m_scores, backoff);
}
void ScoreComponentCollection::MultiplyEquals(float core_r0, float sparse_r0)
{
m_scores.multiplyEquals(core_r0, sparse_r0);
}
std::ostream& operator<<(std::ostream& os, const ScoreComponentCollection& rhs)
{
os << rhs.m_scores;
return os;
}
void ScoreComponentCollection::L1Normalise() {
m_scores /= m_scores.l1norm_coreFeatures();
}
float ScoreComponentCollection::GetL1Norm() const {
return m_scores.l1norm();
}
float ScoreComponentCollection::GetL2Norm() const {
return m_scores.l2norm();
}
float ScoreComponentCollection::GetLInfNorm() const {
return m_scores.linfnorm();
}
size_t ScoreComponentCollection::L1Regularize(float lambda) {
return m_scores.l1regularize(lambda);
}
void ScoreComponentCollection::L2Regularize(float lambda) {
m_scores.l2regularize(lambda);
}
size_t ScoreComponentCollection::SparseL1Regularize(float lambda) {
return m_scores.sparseL1regularize(lambda);
}
void ScoreComponentCollection::SparseL2Regularize(float lambda) {
m_scores.sparseL2regularize(lambda);
}
void ScoreComponentCollection::Save(ostream& out) const {
ScoreIndexMap::const_iterator iter = s_scoreIndexes.begin();
for (; iter != s_scoreIndexes.end(); ++iter ) {
string name = iter->first->GetScoreProducerDescription();
IndexPair ip = iter->second; // feature indices
if (ip.second-ip.first == 1) {
out << name << " " << m_scores[ip.first] << endl;
} else {
for (size_t i=ip.first; i < ip.second; ++i) {
ostringstream fullname;
fullname << name << "_" << (i + 1 - ip.first);
out << fullname.str() << " " << m_scores[i] << endl;
}
}
}
// write sparse features
m_scores.write(out);
}
void ScoreComponentCollection::Save(const string& filename) const {
ofstream out(filename.c_str());
if (!out) {
ostringstream msg;
msg << "Unable to open " << filename;
throw runtime_error(msg.str());
}
Save(out);
out.close();
}
void ScoreComponentCollection::Assign(const FeatureFunction* sp, const string line) {
istringstream istr(line);
while(istr) {
string namestring;
FValue value;
istr >> namestring;
if (!istr) break;
istr >> value;
FName fname(sp->GetScoreProducerDescription(), namestring);
m_scores[fname] = value;
}
}
}
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