/* * FeatureArray.h * met - Minimum Error Training * * Created by Nicola Bertoldi on 13/05/08. * */ #ifndef FEATURE_ARRAY_H #define FEATURE_ARRAY_H #include #include #include #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