Encodes the baseline rank as a boolean feature. More...

Inheritance diagram for reranker::RankFeatureExtractor:

Public Member Functions
	RankFeatureExtractor ()
	Constructs an instance. More...

virtual	~RankFeatureExtractor ()
	Destroys this instance. More...

virtual void	RegisterInitializers (Initializers &initializers)

virtual void	Extract (Candidate &candidate, FeatureVector< int, double > &features)
	Extracts features for the specified candidate, where each feature is represented by an int for its unique identifier. More...

virtual void	ExtractSymbolic (Candidate &candidate, FeatureVector< string, double > &symbolic_features)
	Extracts symbolic (or string) features. More...

virtual void	Extract (CandidateSet &candidate_set)
	Override the default Extract method so that it caches the score of the top-scoring hypothesis of the baseline system. More...

Public Member Functions inherited from reranker::FeatureExtractor
	FeatureExtractor ()
	Constructs an empty feature vector. More...

virtual	~FeatureExtractor ()
	Destroys this vector. More...

virtual void	Reset ()
	Indicates to this instance that iteration over candidate sets on which features are being extracted has been reset. More...

Public Member Functions inherited from reranker::FactoryConstructible
virtual	~FactoryConstructible ()

virtual void	Init (const Environment *env, const string &arg)

Detailed Description

Encodes the baseline rank as a boolean feature.

Definition at line 51 of file rank-feature-extractor.H.

Constructor & Destructor Documentation

reranker::RankFeatureExtractor::RankFeatureExtractor ( )

inline

Constructs an instance.

Definition at line 54 of file rank-feature-extractor.H.

virtual reranker::RankFeatureExtractor::~RankFeatureExtractor ( )

inlinevirtual

Destroys this instance.

Definition at line 57 of file rank-feature-extractor.H.

virtual void reranker::RankFeatureExtractor::Extract	(	Candidate &	candidate,
		FeatureVector< int, double > &	features
	)

inlinevirtual

Extracts features for the specified candidate, where each feature is represented by an int for its unique identifier.

Implementation advice:: Please play nice with others! For efficiency, the feature vector you are modifying is the actual feature vector inside the specified Candidate. Please use FeatureVector::IncrementWeight wherever possible; only use FeatureVector::SetWeight if you truly want to blow away any existing weight for a feature.

Parameters

[in]	candidate	the candidate for which to extract features
[out]	features	the features extracted for the specified candidate

Definition at line 64 of file rank-feature-extractor.H.

virtual void reranker::RankFeatureExtractor::Extract ( CandidateSet & candidate_set )

inlinevirtual

Override the default Extract method so that it caches the score of the top-scoring hypothesis of the baseline system.

Definition at line 101 of file rank-feature-extractor.H.

virtual void reranker::RankFeatureExtractor::ExtractSymbolic	(	Candidate &	candidate,
		FeatureVector< string, double > &	symbolic_features
	)

inlinevirtual

Extracts symbolic (or string) features.

These will be automatically compiled when training.

Parameters

[in]	candidate	the candidate for which to extract features
[out]	symbolic_features	the features extracted for the specified candidate

Definition at line 73 of file rank-feature-extractor.H.

virtual void reranker::RankFeatureExtractor::RegisterInitializers ( Initializers & initializers )

inlinevirtual

Definition at line 59 of file rank-feature-extractor.H.

The documentation for this class was generated from the following file: