cdec cleanup, remove bayesian stuff, parsing stuff

1 files changed, 0 insertions, 135 deletions

diff --git a/gi/pyp-topics/src/train.cc b/gi/pyp-topics/src/train.cc
deleted file mode 100644
index db7ca46e..00000000
--- a/gi/pyp-topics/src/train.cc
+++ /dev/null
@@ -1,135 +0,0 @@
-// STL
-#include <iostream>
-#include <fstream>
-
-// Boost
-#include <boost/program_options/parsers.hpp>
-#include <boost/program_options/variables_map.hpp>
-#include <boost/scoped_ptr.hpp>
-
-// Local
-#include "pyp-topics.hh"
-#include "corpus.hh"
-#include "contexts_corpus.hh"
-#include "gzstream.hh"
-
-static const char *REVISION = "$Rev$";
-
-// Namespaces
-using namespace boost;
-using namespace boost::program_options;
-using namespace std;
-
-int main(int argc, char **argv)
-{
-  std::cout << "Pitman Yor topic models: Copyright 2010 Phil Blunsom\n";
-  std::cout << REVISION << '\n' << std::endl;
-
-  ////////////////////////////////////////////////////////////////////////////////////////////
-  // Command line processing
-  variables_map vm; 
-
-  // Command line processing
-  options_description cmdline_specific("Command line specific options");
-  cmdline_specific.add_options()
-    ("help,h", "print help message")
-    ("config,c", value<string>(), "config file specifying additional command line options")
-    ;
-  options_description generic("Allowed options");
-  generic.add_options()
-    ("documents,d", value<string>(), "file containing the documents")
-    ("topics,t", value<int>()->default_value(50), "number of topics")
-    ("document-topics-out,o", value<string>(), "file to write the document topics to")
-    ("topic-words-out,w", value<string>(), "file to write the topic word distribution to")
-    ("samples,s", value<int>()->default_value(10), "number of sampling passes through the data")
-    ("test-corpus", value<string>(), "file containing the test data")
-    ("backoff-paths", value<string>(), "file containing the term backoff paths")
-    ;
-  options_description config_options, cmdline_options;
-  config_options.add(generic);
-  cmdline_options.add(generic).add(cmdline_specific);
-
-  store(parse_command_line(argc, argv, cmdline_options), vm); 
-  if (vm.count("config") > 0) {
-    ifstream config(vm["config"].as<string>().c_str());
-    store(parse_config_file(config, cmdline_options), vm); 
-  }
-  notify(vm);
-  ////////////////////////////////////////////////////////////////////////////////////////////
-
-  if (vm.count("documents") == 0) {
-    cerr << "Please specify a file containing the documents." << endl;
-    cout << cmdline_options << "\n"; 
-    return 1;
-  }
-
-  if (vm.count("help")) { 
-    cout << cmdline_options << "\n"; 
-    return 1; 
-  }
-
-  // seed the random number generator: 0 = automatic, specify value otherwise
-  unsigned long seed = 0; 
-  PYPTopics model(vm["topics"].as<int>(), false, seed);
-
-  // read the data
-  Corpus corpus;
-  corpus.read(vm["documents"].as<string>());
-
-  // read the backoff dictionary
-  if (vm.count("backoff-paths"))
-    model.set_backoff(vm["backoff-paths"].as<string>());
-
-  // train the sampler
-  model.sample_corpus(corpus, vm["samples"].as<int>());
-
-  if (vm.count("document-topics-out")) {
-    ogzstream documents_out(vm["document-topics-out"].as<string>().c_str());
-    //model.print_document_topics(documents_out);
-
-    int document_id=0;
-    for (Corpus::const_iterator corpusIt=corpus.begin(); 
-         corpusIt != corpus.end(); ++corpusIt, ++document_id) {
-      std::vector<int> unique_terms;
-      for (Document::const_iterator docIt=corpusIt->begin();
-           docIt != corpusIt->end(); ++docIt) {
-        if (unique_terms.empty() || *docIt != unique_terms.back())
-          unique_terms.push_back(*docIt);
-      }
-      documents_out << unique_terms.size();
-      for (std::vector<int>::const_iterator termIt=unique_terms.begin();
-           termIt != unique_terms.end(); ++termIt)
-        documents_out << " " << *termIt << ":" << model.max(document_id, *termIt).first;
-      documents_out << std::endl;
-    }
-    documents_out.close();
-  }
-
-  if (vm.count("topic-words-out")) {
-    ogzstream topics_out(vm["topic-words-out"].as<string>().c_str());
-    model.print_topic_terms(topics_out);
-    topics_out.close();
-  }
-
-  if (vm.count("test-corpus")) {
-    TestCorpus test_corpus;
-    test_corpus.read(vm["test-corpus"].as<string>());
-    ogzstream topics_out((vm["test-corpus"].as<string>() + ".topics.gz").c_str());
-
-    for (TestCorpus::const_iterator corpusIt=test_corpus.begin(); 
-         corpusIt != test_corpus.end(); ++corpusIt) {
-      int index=0;
-      for (DocumentTerms::const_iterator instanceIt=corpusIt->begin();
-           instanceIt != corpusIt->end(); ++instanceIt, ++index) {
-        int topic = model.max(instanceIt->doc, instanceIt->term).first;
-        if (index != 0) topics_out << " ";
-        topics_out << topic;
-      }
-      topics_out << std::endl;
-    }
-    topics_out.close();
-  }
-  std::cout << std::endl;
-
-  return 0;
-}