From efe0d24fa7dbca47825638a52f51977456153bd0 Mon Sep 17 00:00:00 2001
From: "philblunsom@gmail.com"
 <philblunsom@gmail.com@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Tue, 22 Jun 2010 20:34:00 +0000
Subject: Initial ci of gi dir

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@5 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 gi/pyp-topics/src/train.cc | 136 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 136 insertions(+)
 create mode 100644 gi/pyp-topics/src/train.cc

(limited to 'gi/pyp-topics/src/train.cc')

diff --git a/gi/pyp-topics/src/train.cc b/gi/pyp-topics/src/train.cc
new file mode 100644
index 00000000..0d107f11
--- /dev/null
+++ b/gi/pyp-topics/src/train.cc
@@ -0,0 +1,136 @@
+// 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 "gzstream.hh"
+#include "mt19937ar.h"
+
+static const char *REVISION = "$Revision: 0.1 $";
+
+// 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("help")) { 
+    cout << cmdline_options << "\n"; 
+    return 1; 
+  }
+
+  if (vm.count("documents") == 0) {
+    cerr << "Please specify a file containing the documents." << endl;
+    cout << cmdline_options << "\n"; 
+    return 1;
+  }
+
+  // seed the random number generator
+  //mt_init_genrand(time(0));
+
+  // read the data
+  Corpus corpus;
+  corpus.read(vm["documents"].as<string>());
+
+  // run the sampler
+  PYPTopics model(vm["topics"].as<int>());
+
+  // read the backoff dictionary
+  if (vm.count("backoff-paths"))
+    model.set_backoff(vm["backoff-paths"].as<string>());
+
+  // train the sampler
+  model.sample(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);
+      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);
+        if (index != 0) topics_out << " ";
+        topics_out << topic;
+      }
+      topics_out << std::endl;
+    }
+    topics_out.close();
+  }
+
+  return 0;
+}
-- 
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