Reranker Framework (ReFr)
Reranking framework for structure prediction and discriminative language modeling
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file-backed-loss-setter.C
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35 
36 #include <cstdlib>
37 #include <vector>
38 
40 
41 namespace reranker {
42 
44 
45 using std::vector;
46 
47 void
48 FileBackedLossSetter::Extract(Candidate &candidate,
49  FeatureVector<int,double> &features) {
50  tokens_.clear();
51  tokenizer_.Tokenize(line_, tokens_);
52  if (token_idx_ >= tokens_.size()) {
53  cerr << "FileBackedLossSetter: error: line " << line_number()
54  << " contains " << tokens_.size() << " tokens but loss is at token "
55  << "index " << token_idx_ << endl;
56  } else {
57  candidate.set_loss(atof(tokens_[token_idx_].c_str()));
58  }
59 }
60 
61 } // namesapce reranker
#define REGISTER_FEATURE_EXTRACTOR(TYPE)
Registers the FeatureExtractor with the specified subtype TYPE with the FeatureExtractor Factory...
A “feature extractor” that reads lines from a backing file, setting each candidate’s loss via its Can...
A class to represent a candidate in a set of candidates that constitutes a training instance for a re...
Definition: candidate.H:60
Provides the reranker::FileBackedLossSetter class.
A class to represent a feature vector, where features are represented by unique identifiers, and feature values are represented by the template type.