Mira::Perceptron Class Reference

#include <Optimiser.h>

Inheritance diagram for Mira::Perceptron:

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Collaboration diagram for Mira::Perceptron:

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List of all members.

Public Member Functions
virtual size_t	updateWeightsHopeFear (Moses::ScoreComponentCollection &weightUpdate, const std::vector< std::vector< Moses::ScoreComponentCollection > > &featureValuesHope, const std::vector< std::vector< Moses::ScoreComponentCollection > > &featureValuesFear, const std::vector< std::vector< float > > &bleuScoresHope, const std::vector< std::vector< float > > &bleuScoresFear, const std::vector< std::vector< float > > &modelScoresHope, const std::vector< std::vector< float > > &modelScoresFear, float learning_rate, size_t rank, size_t epoch, int updatePosition=-1)

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Detailed Description

Definition at line 49 of file Optimiser.h.

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Member Function Documentation

virtual size_t Mira::Perceptron::updateWeightsHopeFear	(	Moses::ScoreComponentCollection &	weightUpdate,
		const std::vector< std::vector< Moses::ScoreComponentCollection > > &	featureValuesHope,
		const std::vector< std::vector< Moses::ScoreComponentCollection > > &	featureValuesFear,
		const std::vector< std::vector< float > > &	bleuScoresHope,
		const std::vector< std::vector< float > > &	bleuScoresFear,
		const std::vector< std::vector< float > > &	modelScoresHope,
		const std::vector< std::vector< float > > &	modelScoresFear,
		float	learning_rate,
		size_t	rank,
		size_t	epoch,
		int	updatePosition = -1
	)			[virtual]

Implements Mira::Optimiser.

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

• mosesdecoder/mira/Optimiser.h