1 files changed, 0 insertions, 232 deletions
diff --git a/training/feature_expectations.cc b/training/feature_expectations.cc
deleted file mode 100644
index f1a85495..00000000
--- a/training/feature_expectations.cc
+++ /dev/null
@@ -1,232 +0,0 @@
-#include <sstream>
-#include <iostream>
-#include <fstream>
-#include <vector>
-#include <cassert>
-#include <cmath>
-#include <tr1/memory>
-
-#include <boost/program_options.hpp>
-#include <boost/program_options/variables_map.hpp>
-
-#include "verbose.h"
-#include "hg.h"
-#include "prob.h"
-#include "inside_outside.h"
-#include "ff_register.h"
-#include "decoder.h"
-#include "filelib.h"
-#include "online_optimizer.h"
-#include "fdict.h"
-#include "weights.h"
-#include "sparse_vector.h"
-#include "sampler.h"
-
-#ifdef HAVE_MPI
-#include <boost/mpi/timer.hpp>
-#include <boost/mpi.hpp>
-namespace mpi = boost::mpi;
-#endif
-
-using namespace std;
-namespace po = boost::program_options;
-
-struct FComp {
-  const vector<double>& w_;
-  FComp(const vector<double>& w) : w_(w) {}
-  bool operator()(int a, int b) const {
-    return fabs(w_[a]) > fabs(w_[b]);
-  }
-};
-
-void ShowFeatures(const vector<double>& w) {
-  vector<int> fnums(w.size());
-  for (int i = 0; i < w.size(); ++i)
-    fnums[i] = i;
-  sort(fnums.begin(), fnums.end(), FComp(w));
-  for (vector<int>::iterator i = fnums.begin(); i != fnums.end(); ++i) {
-    if (w[*i]) cout << FD::Convert(*i) << ' ' << w[*i] << endl;
-  }
-}
-
-void ReadConfig(const string& ini, vector<string>* out) {
-  ReadFile rf(ini);
-  istream& in = *rf.stream();
-  while(in) {
-    string line;
-    getline(in, line);
-    if (!in) continue;
-    out->push_back(line);
-  }
-}
-
-void StoreConfig(const vector<string>& cfg, istringstream* o) {
-  ostringstream os;
-  for (int i = 0; i < cfg.size(); ++i) { os << cfg[i] << endl; }
-  o->str(os.str());
-}
-
-bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
-  po::options_description opts("Configuration options");
-  opts.add_options()
-        ("input,i",po::value<string>(),"Corpus of source language sentences")
-        ("weights,w",po::value<string>(),"Input feature weights file")
-        ("decoder_config,c",po::value<string>(), "cdec.ini file");
-  po::options_description clo("Command line options");
-  clo.add_options()
-        ("config", po::value<string>(), "Configuration file")
-        ("help,h", "Print this help message and exit");
-  po::options_description dconfig_options, dcmdline_options;
-  dconfig_options.add(opts);
-  dcmdline_options.add(opts).add(clo);
-  
-  po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
-  if (conf->count("config")) {
-    ifstream config((*conf)["config"].as<string>().c_str());
-    po::store(po::parse_config_file(config, dconfig_options), *conf);
-  }
-  po::notify(*conf);
-
-  if (conf->count("help") || !conf->count("input") || !conf->count("decoder_config")) {
-    cerr << dcmdline_options << endl;
-    return false;
-  }
-  return true;
-}
-
-void ReadTrainingCorpus(const string& fname, int rank, int size, vector<string>* c, vector<int>* order) {
-  ReadFile rf(fname);
-  istream& in = *rf.stream();
-  string line;
-  int id = 0;
-  while(in) {
-    getline(in, line);
-    if (!in) break;
-    if (id % size == rank) {
-      c->push_back(line);
-      order->push_back(id);
-    }
-    ++id;
-  }
-}
-
-static const double kMINUS_EPSILON = -1e-6;
-
-struct TrainingObserver : public DecoderObserver {
-  void Reset() {
-    acc_exp.clear();
-    total_complete = 0;
-  } 
-
-  virtual void NotifyDecodingStart(const SentenceMetadata& smeta) {
-    cur_model_exp.clear();
-    state = 1;
-  }
-
-  // compute model expectations, denominator of objective
-  virtual void NotifyTranslationForest(const SentenceMetadata& smeta, Hypergraph* hg) {
-    assert(state == 1);
-    state = 2;
-    const prob_t z = InsideOutside<prob_t,
-                                   EdgeProb,
-                                   SparseVector<prob_t>,
-                                   EdgeFeaturesAndProbWeightFunction>(*hg, &cur_model_exp);
-    cur_model_exp /= z;
-    acc_exp += cur_model_exp;
-  }
-
-  virtual void NotifyAlignmentForest(const SentenceMetadata& smeta, Hypergraph* hg) {
-    cerr << "IGNORING ALIGNMENT FOREST!\n";
-  }
-
-  virtual void NotifyDecodingComplete(const SentenceMetadata& smeta) {
-    if (state == 2) {
-      ++total_complete;
-    }
-  }
-
-  void GetExpectations(SparseVector<double>* g) const {
-    g->clear();
-    for (SparseVector<prob_t>::const_iterator it = acc_exp.begin(); it != acc_exp.end(); ++it)
-      g->set_value(it->first, it->second);
-  }
-
-  int total_complete;
-  SparseVector<prob_t> cur_model_exp;
-  SparseVector<prob_t> acc_exp;
-  int state;
-};
-
-#ifdef HAVE_MPI
-namespace boost { namespace mpi {
-  template<>
-  struct is_commutative<std::plus<SparseVector<double> >, SparseVector<double> > 
-    : mpl::true_ { };
-} } // end namespace boost::mpi
-#endif
-
-int main(int argc, char** argv) {
-#ifdef HAVE_MPI
-  mpi::environment env(argc, argv);
-  mpi::communicator world;
-  const int size = world.size(); 
-  const int rank = world.rank();
-#else
-  const int size = 1;
-  const int rank = 0;
-#endif
-  if (size > 1) SetSilent(true);  // turn off verbose decoder output
-  register_feature_functions();
-
-  po::variables_map conf;
-  if (!InitCommandLine(argc, argv, &conf))
-    return 1;
-
-  // load initial weights
-  Weights weights;
-  if (conf.count("weights"))
-    weights.InitFromFile(conf["weights"].as<string>());
-
-  vector<string> corpus;
-  vector<int> ids;
-  ReadTrainingCorpus(conf["input"].as<string>(), rank, size, &corpus, &ids);
-  assert(corpus.size() > 0);
-
-  vector<string> cdec_ini;
-  ReadConfig(conf["decoder_config"].as<string>(), &cdec_ini);
-  istringstream ini;
-  StoreConfig(cdec_ini, &ini);
-  Decoder decoder(&ini);
-  if (decoder.GetConf()["input"].as<string>() != "-") {
-    cerr << "cdec.ini must not set an input file\n";
-    return 1;
-  }
-
-  SparseVector<double> x;
-  weights.InitSparseVector(&x);
-  TrainingObserver observer;
-
-  weights.InitFromVector(x);
-  vector<double> lambdas;
-  weights.InitVector(&lambdas);
-  decoder.SetWeights(lambdas);
-  observer.Reset();
-  for (unsigned i = 0; i < corpus.size(); ++i) {
-    int id = ids[i];
-    decoder.SetId(id);
-    decoder.Decode(corpus[i], &observer);
-  }
-  SparseVector<double> local_exps, exps;
-  observer.GetExpectations(&local_exps);
-#ifdef HAVE_MPI
-  reduce(world, local_exps, exps, std::plus<SparseVector<double> >(), 0);
-#else
-  exps.swap(local_exps);
-#endif
-
-  weights.InitFromVector(exps);
-  weights.InitVector(&lambdas);
-  ShowFeatures(lambdas);
-
-  return 0;
-}