From 1b8181bf0d6e9137e6b9ccdbe414aec37377a1a9 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@allegro.clab.cs.cmu.edu>
Date: Sun, 18 Nov 2012 13:35:42 -0500
Subject: major restructure of the training code

---
 training/collapse_weights.cc | 110 -------------------------------------------
 1 file changed, 110 deletions(-)
 delete mode 100644 training/collapse_weights.cc

(limited to 'training/collapse_weights.cc')

diff --git a/training/collapse_weights.cc b/training/collapse_weights.cc
deleted file mode 100644
index c03eb031..00000000
--- a/training/collapse_weights.cc
+++ /dev/null
@@ -1,110 +0,0 @@
-char const* NOTES =
-  "ZF_and_E means unnormalized scaled features.\n"
-  "For grammars with one nonterminal: F_and_E is joint,\n"
-  "F_given_E and E_given_F are conditional.\n"
-  "TODO: group rules by root nonterminal and then normalize.\n";
-
-
-#include <iostream>
-#include <fstream>
-#include <tr1/unordered_map>
-
-#include <boost/program_options.hpp>
-#include <boost/program_options/variables_map.hpp>
-#include <boost/functional/hash.hpp>
-
-#include "prob.h"
-#include "filelib.h"
-#include "trule.h"
-#include "weights.h"
-
-namespace po = boost::program_options;
-using namespace std;
-
-typedef std::tr1::unordered_map<vector<WordID>, prob_t, boost::hash<vector<WordID> > > MarginalMap;
-
-void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
-  po::options_description opts("Configuration options");
-  opts.add_options()
-        ("grammar,g", po::value<string>(), "Grammar file")
-        ("weights,w", po::value<string>(), "Weights file")
-    ("unnormalized,u", "Always include ZF_and_E unnormalized score (default: only if sum was >1)")
-    ;
-  po::options_description clo("Command line options");
-  clo.add_options()
-        ("config,c", 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")) {
-    const string cfg = (*conf)["config"].as<string>();
-    cerr << "Configuration file: " << cfg << endl;
-    ifstream config(cfg.c_str());
-    po::store(po::parse_config_file(config, dconfig_options), *conf);
-  }
-  po::notify(*conf);
-
-  if (conf->count("help") || !conf->count("grammar") || !conf->count("weights")) {
-    cerr << dcmdline_options << endl;
-    cerr << NOTES << endl;
-    exit(1);
-  }
-}
-
-int main(int argc, char** argv) {
-  po::variables_map conf;
-  InitCommandLine(argc, argv, &conf);
-  const string wfile = conf["weights"].as<string>();
-  const string gfile = conf["grammar"].as<string>();
-  vector<weight_t> w;
-  Weights::InitFromFile(wfile, &w);
-  MarginalMap e_tots;
-  MarginalMap f_tots;
-  prob_t tot;
-  {
-    ReadFile rf(gfile);
-    assert(*rf.stream());
-    istream& in = *rf.stream();
-    cerr << "Computing marginals...\n";
-    int lc = 0;
-    while(in) {
-      string line;
-      getline(in, line);
-      ++lc;
-      if (line.empty()) continue;
-      TRule tr(line, true);
-      if (tr.GetFeatureValues().empty())
-        cerr << "Line " << lc << ": empty features - may introduce bias\n";
-      prob_t prob;
-      prob.logeq(tr.GetFeatureValues().dot(w));
-      e_tots[tr.e_] += prob;
-      f_tots[tr.f_] += prob;
-      tot += prob;
-    }
-  }
-  bool normalized = (fabs(log(tot)) < 0.001);
-  cerr << "Total: " << tot << (normalized ? " [normalized]" : " [scaled]") << endl;
-  ReadFile rf(gfile);
-  istream&in = *rf.stream();
-  while(in) {
-    string line;
-    getline(in, line);
-    if (line.empty()) continue;
-    TRule tr(line, true);
-    const double lp = tr.GetFeatureValues().dot(w);
-    if (std::isinf(lp)) { continue; }
-    tr.scores_.clear();
-
-    cout << tr.AsString() << " ||| F_and_E=" << lp - log(tot);
-    if (!normalized || conf.count("unnormalized")) {
-      cout << ";ZF_and_E=" << lp;
-    }
-    cout << ";F_given_E=" << lp - log(e_tots[tr.e_])
-         << ";E_given_F=" << lp - log(f_tots[tr.f_]) << endl;
-  }
-  return 0;
-}
-
-- 
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