From 19840a3f47d64c38753c1fac46cb4f39212fc99f Mon Sep 17 00:00:00 2001
From: redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Mon, 15 Nov 2010 17:07:04 +0000
Subject: model 1 options

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@723 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 training/em_utils.h              | 24 +++++++++++++++++++
 training/model1.cc               | 52 +++++++++++++++++++++++++++++++++-------
 training/mr_em_adapted_reduce.cc | 23 +-----------------
 training/ttables.h               |  2 +-
 4 files changed, 69 insertions(+), 32 deletions(-)
 create mode 100644 training/em_utils.h

(limited to 'training')

diff --git a/training/em_utils.h b/training/em_utils.h
new file mode 100644
index 00000000..37762978
--- /dev/null
+++ b/training/em_utils.h
@@ -0,0 +1,24 @@
+#ifndef _EM_UTILS_H_
+#define _EM_UTILS_H_
+
+#include "config.h"
+#ifdef HAVE_BOOST_DIGAMMA
+#include <boost/math/special_functions/digamma.hpp>
+using boost::math::digamma;
+#else
+#warning Using Mark Johnsons digamma()
+#include <cmath>
+inline double digamma(double x) {
+  double result = 0, xx, xx2, xx4;
+  assert(x > 0);
+  for ( ; x < 7; ++x)
+    result -= 1/x;
+  x -= 1.0/2.0;
+  xx = 1.0/x;
+  xx2 = xx*xx;
+  xx4 = xx2*xx2;
+  result += log(x)+(1./24.)*xx2-(7.0/960.0)*xx4+(31.0/8064.0)*xx4*xx2-(127.0/30720.0)*xx4*xx4;
+  return result;
+}
+#endif
+#endif
diff --git a/training/model1.cc b/training/model1.cc
index 487ddb5f..83dacd63 100644
--- a/training/model1.cc
+++ b/training/model1.cc
@@ -1,29 +1,63 @@
 #include <iostream>
 #include <cmath>
 
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
 #include "lattice.h"
 #include "stringlib.h"
 #include "filelib.h"
 #include "ttables.h"
 #include "tdict.h"
+#include "em_utils.h"
 
+namespace po = boost::program_options;
 using namespace std;
 
-int main(int argc, char** argv) {
-  if (argc != 2) {
-    cerr << "Usage: " << argv[0] << " corpus.fr-en\n";
-    return 1;
+bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+  po::options_description opts("Configuration options");
+  opts.add_options()
+        ("iterations,i",po::value<unsigned>()->default_value(5),"Number of iterations of EM training")
+        ("beam_threshold,t",po::value<double>()->default_value(-4),"log_10 of beam threshold (-10000 to include everything, 0 max)")
+        ("no_null_word,N","Do not generate from the null token");
+  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);
   }
-  const int ITERATIONS = 5;
-  const double BEAM_THRESHOLD = 0.0001;
-  TTable tt;
+  po::notify(*conf);
+
+  if (argc < 2 || conf->count("help")) {
+    cerr << "Usage " << argv[0] << " [OPTIONS] corpus.fr-en\n";
+    cerr << dcmdline_options << endl;
+    return false;
+  }
+  return true;
+}
+
+int main(int argc, char** argv) {
+  po::variables_map conf;
+  if (!InitCommandLine(argc, argv, &conf)) return 1;
+  const string fname = argv[argc - 1];
+  const int ITERATIONS = conf["iterations"].as<unsigned>();
+  const double BEAM_THRESHOLD = pow(10.0, conf["beam_threshold"].as<double>());
+  const bool use_null = (conf.count("no_null_word") == 0);
   const WordID kNULL = TD::Convert("<eps>");
-  bool use_null = true;
+
+  TTable tt;
   TTable::Word2Word2Double was_viterbi;
   for (int iter = 0; iter < ITERATIONS; ++iter) {
     const bool final_iteration = (iter == (ITERATIONS - 1));
     cerr << "ITERATION " << (iter + 1) << (final_iteration ? " (FINAL)" : "") << endl;
-    ReadFile rf(argv[1]);
+    ReadFile rf(fname);
     istream& in = *rf.stream();
     double likelihood = 0;
     double denom = 0.0;
diff --git a/training/mr_em_adapted_reduce.cc b/training/mr_em_adapted_reduce.cc
index 52387e7f..29416348 100644
--- a/training/mr_em_adapted_reduce.cc
+++ b/training/mr_em_adapted_reduce.cc
@@ -6,36 +6,15 @@
 #include <boost/program_options.hpp>
 #include <boost/program_options/variables_map.hpp>
 
-#include "config.h"
-#ifdef HAVE_BOOST_DIGAMMA
-#include <boost/math/special_functions/digamma.hpp>
-using boost::math::digamma;
-#endif
-
 #include "filelib.h"
 #include "fdict.h"
 #include "weights.h"
 #include "sparse_vector.h"
+#include "em_utils.h"
 
 using namespace std;
 namespace po = boost::program_options;
 
-#ifndef HAVE_BOOST_DIGAMMA
-#warning Using Mark Johnsons digamma()
-double digamma(double x) {
-  double result = 0, xx, xx2, xx4;
-  assert(x > 0);
-  for ( ; x < 7; ++x)
-    result -= 1/x;
-  x -= 1.0/2.0;
-  xx = 1.0/x;
-  xx2 = xx*xx;
-  xx4 = xx2*xx2;
-  result += log(x)+(1./24.)*xx2-(7.0/960.0)*xx4+(31.0/8064.0)*xx4*xx2-(127.0/30720.0)*xx4*xx4;
-  return result;
-}
-#endif
-
 void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
   po::options_description opts("Configuration options");
   opts.add_options()
diff --git a/training/ttables.h b/training/ttables.h
index 04e54f9d..53f5f2ab 100644
--- a/training/ttables.h
+++ b/training/ttables.h
@@ -12,7 +12,7 @@ class TTable {
   TTable() {}
   typedef std::tr1::unordered_map<WordID, double> Word2Double;
   typedef std::tr1::unordered_map<WordID, Word2Double> Word2Word2Double;
-  inline const double prob(const int& e, const int& f) const {
+  inline double prob(const int& e, const int& f) const {
     const Word2Word2Double::const_iterator cit = ttable.find(e);
     if (cit != ttable.end()) {
       const Word2Double& cpd = cit->second;
-- 
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