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/*
* FeatureArray.h
* met - Minimum Error Training
*
* Created by Nicola Bertoldi on 13/05/08.
*
*/
#ifndef FEATURE_ARRAY_H
#define FEATURE_ARRAY_H
#include <vector>
#include <iostream>
#include <fstream>
#include "FeatureStats.h"
using namespace std;
const char FEATURES_TXT_BEGIN[] = "FEATURES_TXT_BEGIN_0";
const char FEATURES_TXT_END[] = "FEATURES_TXT_END_0";
const char FEATURES_BIN_BEGIN[] = "FEATURES_BIN_BEGIN_0";
const char FEATURES_BIN_END[] = "FEATURES_BIN_END_0";
class FeatureArray
{
private:
// idx to identify the utterance. It can differ from
// the index inside the vector.
std::string idx;
protected:
featarray_t array_;
size_t number_of_features;
std::string features;
public:
FeatureArray();
~FeatureArray();
inline void clear() {
array_.clear();
}
inline std::string getIndex() const {
return idx;
}
inline void setIndex(const std::string& value) {
idx = value;
}
inline FeatureStats& get(size_t i) {
return array_.at(i);
}
inline const FeatureStats& get(size_t i)const {
return array_.at(i);
}
void add(FeatureStats& e) {
array_.push_back(e);
}
void merge(FeatureArray& e);
inline size_t size() const {
return array_.size();
}
inline size_t NumberOfFeatures() const {
return number_of_features;
}
inline void NumberOfFeatures(size_t v) {
number_of_features = v;
}
inline std::string Features() const {
return features;
}
inline void Features(const std::string& f) {
features = f;
}
void savetxt(ofstream& outFile);
void savebin(ofstream& outFile);
void save(ofstream& outFile, bool bin=false);
void save(const std::string &file, bool bin=false);
inline void save(bool bin=false) {
save("/dev/stdout",bin);
}
void loadtxt(ifstream& inFile, const SparseVector& sparseWeights, size_t n);
void loadbin(ifstream& inFile, size_t n);
void load(ifstream& inFile, const SparseVector& sparseWeights);
//void load(const std::string &file);
bool check_consistency() const;
};
#endif // FEATURE_ARRAY_H
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