1 files changed, 73 insertions, 0 deletions
diff --git a/src/weights.cc b/src/weights.cc
new file mode 100644
index 00000000..bb0a878f
--- /dev/null
+++ b/src/weights.cc
@@ -0,0 +1,73 @@
+#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);
+}