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authorphilblunsom@gmail.com <philblunsom@gmail.com@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-06-22 20:34:00 +0000
committerphilblunsom@gmail.com <philblunsom@gmail.com@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-06-22 20:34:00 +0000
commit2f2ba42a1453f4a3a08f9c1ecfc53c1b1c83d550 (patch)
tree646e81b6325280f64a72771b5eeadf5118e465a9 /gi/pyp-topics/src/pyp-topics.cc
parent2f2e36ca3060e7e9853c3d611f6cc5e112a76ddd (diff)
Initial ci of gi dir
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@5 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'gi/pyp-topics/src/pyp-topics.cc')
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diff --git a/gi/pyp-topics/src/pyp-topics.cc b/gi/pyp-topics/src/pyp-topics.cc
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+++ b/gi/pyp-topics/src/pyp-topics.cc
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+#include "pyp-topics.hh"
+
+void PYPTopics::sample(const Corpus& corpus, int samples) {
+ if (!m_backoff.get()) {
+ m_word_pyps.clear();
+ m_word_pyps.push_back(PYPs());
+ }
+
+ std::cerr << " Training with " << m_word_pyps.size()-1 << " backoff level"
+ << (m_word_pyps.size()==2 ? ":" : "s:") << std::endl;
+
+ for (int i=0; i<(int)m_word_pyps.size(); ++i)
+ m_word_pyps.at(i).resize(m_num_topics, PYP<int>(0.5, 1.0));
+ std::cerr << std::endl;
+
+ m_document_pyps.resize(corpus.num_documents(), PYP<int>(0.5, 1.0));
+
+ m_topic_p0 = 1.0/m_num_topics;
+ m_term_p0 = 1.0/corpus.num_types();
+ m_backoff_p0 = 1.0/corpus.num_documents();
+
+ std::cerr << " Documents: " << corpus.num_documents() << " Terms: "
+ << corpus.num_types() << std::endl;
+
+ // Initialisation pass
+ int document_id=0, topic_counter=0;
+ for (Corpus::const_iterator corpusIt=corpus.begin();
+ corpusIt != corpus.end(); ++corpusIt, ++document_id) {
+ m_corpus_topics.push_back(DocumentTopics(corpusIt->size(), 0));
+
+ int term_index=0;
+ for (Document::const_iterator docIt=corpusIt->begin();
+ docIt != corpusIt->end(); ++docIt, ++term_index) {
+ topic_counter++;
+ Term term = *docIt;
+
+ // sample a new_topic
+ //int new_topic = (topic_counter % m_num_topics);
+ int new_topic = (document_id % m_num_topics);
+
+ // add the new topic to the PYPs
+ m_corpus_topics[document_id][term_index] = new_topic;
+ increment(term, new_topic);
+ m_document_pyps[document_id].increment(new_topic, m_topic_p0);
+ }
+ }
+
+ // Sampling phase
+ for (int curr_sample=0; curr_sample < samples; ++curr_sample) {
+ std::cerr << "\n -- Sample " << curr_sample << " "; std::cerr.flush();
+
+ // for each document in the corpus
+ int document_id=0;
+ for (Corpus::const_iterator corpusIt=corpus.begin();
+ corpusIt != corpus.end(); ++corpusIt, ++document_id) {
+ // for each term in the document
+ int term_index=0;
+ for (Document::const_iterator docIt=corpusIt->begin();
+ docIt != corpusIt->end(); ++docIt, ++term_index) {
+ Term term = *docIt;
+
+ // remove the prevous topic from the PYPs
+ int current_topic = m_corpus_topics[document_id][term_index];
+ decrement(term, current_topic);
+ m_document_pyps[document_id].decrement(current_topic);
+
+ // sample a new_topic
+ int new_topic = sample(document_id, term);
+
+ // add the new topic to the PYPs
+ m_corpus_topics[document_id][term_index] = new_topic;
+ increment(term, new_topic);
+ m_document_pyps[document_id].increment(new_topic, m_topic_p0);
+ }
+ if (document_id && document_id % 10000 == 0) {
+ std::cerr << "."; std::cerr.flush();
+ }
+ }
+
+ if (curr_sample != 0 && curr_sample % 10 == 0) {
+ std::cerr << " ||| Resampling hyperparameters "; std::cerr.flush();
+ // resample the hyperparamters
+ F log_p=0.0; int resample_counter=0;
+ for (std::vector<PYPs>::iterator levelIt=m_word_pyps.begin();
+ levelIt != m_word_pyps.end(); ++levelIt) {
+ for (PYPs::iterator pypIt=levelIt->begin();
+ pypIt != levelIt->end(); ++pypIt) {
+ pypIt->resample_prior();
+ log_p += pypIt->log_restaurant_prob();
+ if (resample_counter++ % 100 == 0) {
+ std::cerr << "."; std::cerr.flush();
+ }
+ }
+ }
+
+ for (PYPs::iterator pypIt=m_document_pyps.begin();
+ pypIt != m_document_pyps.end(); ++pypIt) {
+ pypIt->resample_prior();
+ log_p += pypIt->log_restaurant_prob();
+ }
+ std::cerr << " ||| LLH=" << log_p << std::endl;
+ }
+ }
+}
+
+void PYPTopics::decrement(const Term& term, int topic, int level) {
+ //std::cerr << "PYPTopics::decrement(" << term << "," << topic << "," << level << ")" << std::endl;
+ m_word_pyps.at(level).at(topic).decrement(term);
+ if (m_backoff.get()) {
+ Term backoff_term = (*m_backoff)[term];
+ if (!m_backoff->is_null(backoff_term))
+ decrement(backoff_term, topic, level+1);
+ }
+}
+
+void PYPTopics::increment(const Term& term, int topic, int level) {
+ //std::cerr << "PYPTopics::increment(" << term << "," << topic << "," << level << ")" << std::endl;
+ m_word_pyps.at(level).at(topic).increment(term, word_pyps_p0(term, topic, level));
+
+ if (m_backoff.get()) {
+ Term backoff_term = (*m_backoff)[term];
+ if (!m_backoff->is_null(backoff_term))
+ increment(backoff_term, topic, level+1);
+ }
+}
+
+int PYPTopics::sample(const DocumentId& doc, const Term& term) {
+ // First pass: collect probs
+ F sum=0.0;
+ std::vector<F> sums;
+ for (int k=0; k<m_num_topics; ++k) {
+ F p_w_k = prob(term, k);
+ F p_k_d = m_document_pyps[doc].prob(k, m_topic_p0);
+ sum += (p_w_k*p_k_d);
+ sums.push_back(sum);
+ }
+ // Second pass: sample a topic
+ F cutoff = mt_genrand_res53() * sum;
+ for (int k=0; k<m_num_topics; ++k) {
+ if (cutoff <= sums[k])
+ return k;
+ }
+ assert(false);
+}
+
+PYPTopics::F PYPTopics::word_pyps_p0(const Term& term, int topic, int level) const {
+ //for (int i=0; i<level+1; ++i) std::cerr << " ";
+ //std::cerr << "PYPTopics::word_pyps_p0(" << term << "," << topic << "," << level << ")" << std::endl;
+
+ F p0 = m_term_p0;
+ if (m_backoff.get()) {
+ //static F fudge=m_backoff_p0; // TODO
+
+ Term backoff_term = (*m_backoff)[term];
+ if (!m_backoff->is_null(backoff_term)) {
+ assert (level < m_backoff->order());
+ p0 = m_backoff->terms_at_level(level)*prob(backoff_term, topic, level+1);
+ }
+ else
+ p0 = m_term_p0;
+ }
+ //for (int i=0; i<level+1; ++i) std::cerr << " ";
+ //std::cerr << "PYPTopics::word_pyps_p0(" << term << "," << topic << "," << level << ") = " << p0 << std::endl;
+ return p0;
+}
+
+PYPTopics::F PYPTopics::prob(const Term& term, int topic, int level) const {
+ //for (int i=0; i<level+1; ++i) std::cerr << " ";
+ //std::cerr << "PYPTopics::prob(" << term << "," << topic << "," << level << " " << factor << ")" << std::endl;
+
+ F p0 = word_pyps_p0(term, topic, level);
+ F p_w_k = m_word_pyps.at(level).at(topic).prob(term, p0);
+
+ //for (int i=0; i<level+1; ++i) std::cerr << " ";
+ //std::cerr << "PYPTopics::prob(" << term << "," << topic << "," << level << ") = " << p_w_k << std::endl;
+
+ return p_w_k;
+}
+
+int PYPTopics::max(const DocumentId& doc, const Term& term) {
+ //std::cerr << "PYPTopics::max(" << doc << "," << term << ")" << std::endl;
+ // collect probs
+ F current_max=0.0;
+ int current_topic=-1;
+ for (int k=0; k<m_num_topics; ++k) {
+ F p_w_k = prob(term, k);
+ F p_k_d = m_document_pyps[doc].prob(k, m_topic_p0);
+ F prob = (p_w_k*p_k_d);
+ if (prob > current_max) {
+ current_max = prob;
+ current_topic = k;
+ }
+ }
+ assert(current_topic >= 0);
+ return current_topic;
+}
+
+std::ostream& PYPTopics::print_document_topics(std::ostream& out) const {
+ for (CorpusTopics::const_iterator corpusIt=m_corpus_topics.begin();
+ corpusIt != m_corpus_topics.end(); ++corpusIt) {
+ int term_index=0;
+ for (DocumentTopics::const_iterator docIt=corpusIt->begin();
+ docIt != corpusIt->end(); ++docIt, ++term_index) {
+ if (term_index) out << " ";
+ out << *docIt;
+ }
+ out << std::endl;
+ }
+ return out;
+}
+
+std::ostream& PYPTopics::print_topic_terms(std::ostream& out) const {
+ for (PYPs::const_iterator pypsIt=m_word_pyps.front().begin();
+ pypsIt != m_word_pyps.front().end(); ++pypsIt) {
+ int term_index=0;
+ for (PYP<int>::const_iterator termIt=pypsIt->begin();
+ termIt != pypsIt->end(); ++termIt, ++term_index) {
+ if (term_index) out << " ";
+ out << termIt->first << ":" << termIt->second;
+ }
+ out << std::endl;
+ }
+ return out;
+}