1 files changed, 0 insertions, 73 deletions
diff --git a/src/weights.cc b/src/weights.cc
deleted file mode 100644
index bb0a878f..00000000
--- a/src/weights.cc
+++ /dev/null
@@ -1,73 +0,0 @@
-#include "weights.h"
-
-#include <sstream>
-
-#include "fdict.h"
-#include "filelib.h"
-
-using namespace std;
-
-void Weights::InitFromFile(const std::string& filename, vector<string>* feature_list) {
-  cerr << "Reading weights from " << filename << endl;
-  ReadFile in_file(filename);
-  istream& in = *in_file.stream();
-  assert(in);
-  int weight_count = 0;
-  bool fl = false;
-  while (in) {
-    double val = 0;
-    string buf;
-    getline(in, buf);
-    if (buf.size() == 0) continue;
-    if (buf[0] == '#') continue;
-    for (int i = 0; i < buf.size(); ++i)
-      if (buf[i] == '=') buf[i] = ' ';
-    int start = 0;
-    while(start < buf.size() && buf[start] == ' ') ++start;
-    int end = 0;
-    while(end < buf.size() && buf[end] != ' ') ++end;
-    int fid = FD::Convert(buf.substr(start, end - start));
-    while(end < buf.size() && buf[end] == ' ') ++end;
-    val = strtod(&buf.c_str()[end], NULL);
-    if (wv_.size() <= fid)
-      wv_.resize(fid + 1);
-    wv_[fid] = val;
-    if (feature_list) { feature_list->push_back(FD::Convert(fid)); }
-    ++weight_count;
-    if (weight_count %   50000 == 0) { cerr << '.' << flush; fl = true; }
-    if (weight_count % 2000000 == 0) { cerr << " [" << weight_count << "]\n"; fl = false; }
-  }
-  if (fl) { cerr << endl; }
-  cerr << "Loaded " << weight_count << " feature weights\n";
-}
-
-void Weights::WriteToFile(const std::string& fname, bool hide_zero_value_features) const {
-  WriteFile out(fname);
-  ostream& o = *out.stream();
-  assert(o);
-  o.precision(17);
-  const int num_feats = FD::NumFeats();
-  for (int i = 1; i < num_feats; ++i) {
-    const double val = (i < wv_.size() ? wv_[i] : 0.0);
-    if (hide_zero_value_features && val == 0.0) continue;
-    o << FD::Convert(i) << ' ' << val << endl;
-  }
-}
-
-void Weights::InitVector(std::vector<double>* w) const {
-  *w = wv_;
-}
-
-void Weights::InitSparseVector(SparseVector<double>* w) const {
-  for (int i = 1; i < wv_.size(); ++i) {
-    const double& weight = wv_[i];
-    if (weight) w->set_value(i, weight);
-  }
-}
-
-void Weights::InitFromVector(const std::vector<double>& w) {
-  wv_ = w;
-  if (wv_.size() > FD::NumFeats())
-    cerr << "WARNING: initializing weight vector has more features than the global feature dictionary!\n";
-  wv_.resize(FD::NumFeats(), 0);
-}