Reranker Framework (ReFr)
Reranking framework for structure prediction and discriminative language modeling
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reranker::PerceptronModel::DefaultUpdatePredicate Class Reference

The default update predicate for perceptron and perceptron-style models, which indicates to do a model update whenever the top-scoring candidate hypothesis under the current model differs from the oracle or “gold” candidate hypothesis. More...

#include <perceptron-model.H>

Inheritance diagram for reranker::PerceptronModel::DefaultUpdatePredicate:
reranker::Model::UpdatePredicate reranker::FactoryConstructible

Additional Inherited Members

- Public Member Functions inherited from reranker::FactoryConstructible
virtual ~FactoryConstructible ()
 
virtual void RegisterInitializers (Initializers &initializers)
 
virtual void Init (const Environment *env, const string &arg)
 

Detailed Description

The default update predicate for perceptron and perceptron-style models, which indicates to do a model update whenever the top-scoring candidate hypothesis under the current model differs from the oracle or “gold” candidate hypothesis.

Definition at line 142 of file perceptron-model.H.


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