Reranker Framework (ReFr)
Reranking framework for structure prediction and discriminative language modeling
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basic-file-backed-feature-extractor.H
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35 
36 #ifndef RERANKER_BASIC_FILE_BACKED_FEATURE_EXTRACTOR_H_
37 #define RERANKER_BASIC_FILE_BACKED_FEATURE_EXTRACTOR_H_
38 
39 #include <cstdlib>
40 #include <string>
41 #include <vector>
42 
44 
45 namespace reranker {
46 
47 using std::string;
48 using std::vector;
49 
59  public:
62  }
65 
67  virtual void Extract(Candidate &candidate,
68  FeatureVector<int,double> &features) { }
69 
75  virtual void ExtractSymbolic(Candidate &candidate,
76  FeatureVector<string,double> &symbolic_features);
77  protected:
97  virtual void ExtractFeatureValuePair(const string &s,
98  string &feature, double &value) {
99  size_t equals_pos = s.find_last_of("=");
100  bool found_equals = equals_pos != string::npos;
101  value =
102  found_equals && equals_pos < s.length() - 1 ?
103  atof(s.substr(equals_pos + 1, s.length() - (equals_pos + 1)).c_str()) :
104  1.0;
105  feature = found_equals ? s.substr(0, equals_pos) : s;
106  }
107 };
108 
109 } // namespace reranker
110 
111 #endif
virtual void ExtractFeatureValuePair(const string &s, string &feature, double &value)
Extracts a symbolic feature and value from the specified string.
virtual ~BasicFileBackedFeatureExtractor()
Destroys this instance.
Provides the abstract reranker::AbstractFileBackedFeatureExtractor class, which makes it easy for con...
This class makes it easy for concrete subclasses to extract features based on input from a file...
virtual void ExtractSymbolic(Candidate &candidate, FeatureVector< string, double > &symbolic_features)
Extracts symbolic features based on the most recent line read from the file (or stream) that backs th...
A class to represent a candidate in a set of candidates that constitutes a training instance for a re...
Definition: candidate.H:60
virtual void Extract(Candidate &candidate, FeatureVector< int, double > &features)
Does nothing.
A class to read one line at a time from a backing file, and tokenize that line based on whitespace...