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authorWu, Ke <wuke@cs.umd.edu>2014-12-17 16:15:13 -0500
committerWu, Ke <wuke@cs.umd.edu>2014-12-17 16:15:13 -0500
commit6829a0bc624b02ebefc79f8cf9ec89d7d64a7c30 (patch)
tree125dfb20f73342873476c793995397b26fd202dd /utils/maxent.h
parentb455a108a21f4ba5a58ab1bc53a8d2bf4d829067 (diff)
parent7468e8d85e99b4619442c7afaf4a0d92870111bb (diff)
Merge branch 'const_reorder_2' into softsyn_2
Diffstat (limited to 'utils/maxent.h')
-rw-r--r--utils/maxent.h95
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