mosesdecoder/mert/FeatureStats.h
Tetsuo Kiso 3f8d8d7842 Remove hard-coded "/dev/stdout".
This will improve the portability.
We also change the interface of I/O functions for ease of the
development unit tests.
2012-03-10 19:04:43 +09:00

139 lines
2.9 KiB
C++

/*
* FeatureStats.h
* mert - Minimum Error Rate Training
*
* Created by Nicola Bertoldi on 13/05/08.
*
*/
#ifndef MERT_FEATURE_STATS_H_
#define MERT_FEATURE_STATS_H_
#include <cstring>
#include <iostream>
#include <map>
#include <string>
#include <vector>
#include "Types.h"
using namespace std;
// Minimal sparse vector
class SparseVector {
public:
typedef std::map<size_t,FeatureStatsType> fvector_t;
typedef std::map<std::string, size_t> name2id_t;
typedef std::vector<std::string> id2name_t;
FeatureStatsType get(const std::string& name) const;
FeatureStatsType get(size_t id) const;
void set(const std::string& name, FeatureStatsType value);
void clear();
size_t size() const {
return m_fvector.size();
}
void write(std::ostream& out, const std::string& sep = " ") const;
SparseVector& operator-=(const SparseVector& rhs);
private:
static name2id_t m_name_to_id;
static id2name_t m_id_to_name;
fvector_t m_fvector;
};
SparseVector operator-(const SparseVector& lhs, const SparseVector& rhs);
class FeatureStats
{
private:
size_t m_available_size;
size_t m_entries;
// TODO: Use smart pointer for exceptional-safety.
featstats_t m_array;
SparseVector m_map;
public:
FeatureStats();
explicit FeatureStats(const size_t size);
explicit FeatureStats(std::string &theString);
~FeatureStats();
// We intentionally allow copying.
FeatureStats(const FeatureStats &stats);
FeatureStats& operator=(const FeatureStats &stats);
void Copy(const FeatureStats &stats);
bool isfull() const {
return (m_entries < m_available_size) ? 0 : 1;
}
void expand();
void add(FeatureStatsType v);
void addSparse(const string& name, FeatureStatsType v);
void clear() {
memset((void*)m_array, 0, GetArraySizeWithBytes());
m_map.clear();
}
void reset() {
m_entries = 0;
clear();
}
inline FeatureStatsType get(size_t i) {
return m_array[i];
}
inline FeatureStatsType get(size_t i)const {
return m_array[i];
}
inline featstats_t getArray() const {
return m_array;
}
inline const SparseVector& getSparse() const {
return m_map;
}
void set(std::string &theString);
inline size_t bytes() const {
return GetArraySizeWithBytes();
}
size_t GetArraySizeWithBytes() const {
return m_entries * sizeof(FeatureStatsType);
}
inline size_t size() const {
return m_entries;
}
inline size_t available() const {
return m_available_size;
}
void savetxt(const std::string &file);
void savetxt(std::ostream* os);
void savebin(std::ostream* os);
void savetxt();
void loadtxt(const std::string &file);
void loadtxt(std::istream* is);
void loadbin(std::istream* is);
/**
* Write the whole object to a stream.
*/
friend ostream& operator<<(ostream& o, const FeatureStats& e);
};
//ADEED_BY_TS
bool operator==(const FeatureStats& f1, const FeatureStats& f2);
//END_ADDED
#endif // MERT_FEATURE_STATS_H_