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author | Wu, Ke <wuke@cs.umd.edu> | 2014-12-17 16:15:13 -0500 |
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committer | Wu, Ke <wuke@cs.umd.edu> | 2014-12-17 16:15:13 -0500 |
commit | 6829a0bc624b02ebefc79f8cf9ec89d7d64a7c30 (patch) | |
tree | 125dfb20f73342873476c793995397b26fd202dd /utils/maxent.h | |
parent | b455a108a21f4ba5a58ab1bc53a8d2bf4d829067 (diff) | |
parent | 7468e8d85e99b4619442c7afaf4a0d92870111bb (diff) |
Merge branch 'const_reorder_2' into softsyn_2
Diffstat (limited to 'utils/maxent.h')
-rw-r--r-- | utils/maxent.h | 95 |
1 files changed, 85 insertions, 10 deletions
diff --git a/utils/maxent.h b/utils/maxent.h index b1efd88e..74d13a6f 100644 --- a/utils/maxent.h +++ b/utils/maxent.h @@ -5,21 +5,95 @@ #ifndef __MAXENT_H_ #define __MAXENT_H_ -#include <string> -#include <vector> -#include <list> -#include <map> #include <algorithm> #include <iostream> +#include <list> +#include <map> #include <string> +#include <unordered_map> +#include <vector> + #include <cassert> -#include "mathvec.h" -#define USE_HASH_MAP // if you encounter errors with hash, try commenting out - // this line. (the program will be a bit slower, though) -#ifdef USE_HASH_MAP -#include <unordered_map> -#endif +namespace maxent { +class Vec { + private: + std::vector<double> _v; + + public: + Vec(const size_t n = 0, const double val = 0) { _v.resize(n, val); } + Vec(const std::vector<double>& v) : _v(v) {} + const std::vector<double>& STLVec() const { return _v; } + std::vector<double>& STLVec() { return _v; } + size_t Size() const { return _v.size(); } + double& operator[](int i) { return _v[i]; } + const double& operator[](int i) const { return _v[i]; } + Vec& operator+=(const Vec& b) { + assert(b.Size() == _v.size()); + for (size_t i = 0; i < _v.size(); i++) { + _v[i] += b[i]; + } + return *this; + } + Vec& operator*=(const double c) { + for (size_t i = 0; i < _v.size(); i++) { + _v[i] *= c; + } + return *this; + } + void Project(const Vec& y) { + for (size_t i = 0; i < _v.size(); i++) { + // if (sign(_v[i]) != sign(y[i])) _v[i] = 0; + if (_v[i] * y[i] <= 0) _v[i] = 0; + } + } +}; + +inline double dot_product(const Vec& a, const Vec& b) { + double sum = 0; + for (size_t i = 0; i < a.Size(); i++) { + sum += a[i] * b[i]; + } + return sum; +} + +inline std::ostream& operator<<(std::ostream& s, const Vec& a) { + s << "("; + for (size_t i = 0; i < a.Size(); i++) { + if (i != 0) s << ", "; + s << a[i]; + } + s << ")"; + return s; +} + +inline const Vec operator+(const Vec& a, const Vec& b) { + Vec v(a.Size()); + assert(a.Size() == b.Size()); + for (size_t i = 0; i < a.Size(); i++) { + v[i] = a[i] + b[i]; + } + return v; +} + +inline const Vec operator-(const Vec& a, const Vec& b) { + Vec v(a.Size()); + assert(a.Size() == b.Size()); + for (size_t i = 0; i < a.Size(); i++) { + v[i] = a[i] - b[i]; + } + return v; +} + +inline const Vec operator*(const Vec& a, const double c) { + Vec v(a.Size()); + for (size_t i = 0; i < a.Size(); i++) { + v[i] = a[i] * c; + } + return v; +} + +inline const Vec operator*(const double c, const Vec& a) { return a * c; } // // data format for each sample for training/testing @@ -309,6 +383,7 @@ class ME_Model { static double FunctionGradientWrapper(const std::vector<double>& x, std::vector<double>& grad); }; +} // namespace maxent #endif |