From 1070f63e3978b9b26df46ad80fe1f40f2ce83a23 Mon Sep 17 00:00:00 2001
From: "philblunsom@gmail.com"
 <philblunsom@gmail.com@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Mon, 28 Jun 2010 15:01:17 +0000
Subject: Added contexts_corpus for reading text data files.

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@36 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 gi/pyp-topics/src/train.cc | 43 +++++++++++++++++++++++++++++--------------
 1 file changed, 29 insertions(+), 14 deletions(-)

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

diff --git a/gi/pyp-topics/src/train.cc b/gi/pyp-topics/src/train.cc
index 0d107f11..01ada182 100644
--- a/gi/pyp-topics/src/train.cc
+++ b/gi/pyp-topics/src/train.cc
@@ -10,6 +10,7 @@
 // Local
 #include "pyp-topics.hh"
 #include "corpus.hh"
+#include "contexts_corpus.hh"
 #include "gzstream.hh"
 #include "mt19937ar.h"
 
@@ -38,6 +39,7 @@ int main(int argc, char **argv)
   options_description generic("Allowed options");
   generic.add_options()
     ("documents,d", value<string>(), "file containing the documents")
+    ("contexts", value<string>(), "file containing the documents in phrase contexts format")
     ("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")
@@ -56,42 +58,55 @@ int main(int argc, char **argv)
   }
   notify(vm);
   ////////////////////////////////////////////////////////////////////////////////////////////
-
-  if (vm.count("help")) { 
-    cout << cmdline_options << "\n"; 
+  if (vm.count("contexts") > 0 && vm.count("documents") > 0) {
+    cerr << "Only one of --documents or --contexts must be specified." << std::endl; 
     return 1; 
   }
 
-  if (vm.count("documents") == 0) {
+  if (vm.count("documents") == 0 && vm.count("contexts") == 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
   //mt_init_genrand(time(0));
 
+  PYPTopics model(vm["topics"].as<int>());
+
   // read the data
-  Corpus corpus;
-  corpus.read(vm["documents"].as<string>());
+  boost::shared_ptr<Corpus> corpus;
+  if (vm.count("documents") == 0 && vm.count("contexts") == 0) {
+    corpus.reset(new 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>());
 
-  // read the backoff dictionary
-  if (vm.count("backoff-paths"))
-    model.set_backoff(vm["backoff-paths"].as<string>());
+  }
+  else {
+    boost::shared_ptr<ContextsCorpus> contexts_corpus(new ContextsCorpus);
+    contexts_corpus->read_contexts(vm["contexts"].as<string>());
+    corpus = contexts_corpus;
+    model.set_backoff(contexts_corpus->backoff_index());
+  }
 
   // train the sampler
-  model.sample(corpus, vm["samples"].as<int>());
+  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) {
+    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) {
-- 
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