#include <SOMTrainer.h>

Collaboration diagram for Euclid::SOM::SOMTrainer< NeighborhoodFunction >:

Public Member Functions
	SOMTrainer (NeighborhoodFunction neighborhood_func, LearningRestraintFunc::Signature learning_restraint_func)

template<typename DistFunc , typename InputIter , typename InputToWeightFunc , template< class > class Sampler = SamplingPolicy::FullSet>
void	train (SOM< DistFunc > &som, std::size_t iter_no, InputIter begin, InputIter end, InputToWeightFunc weight_func, const Sampler< InputIter > &sampling_policy=Sampler< InputIter >{})

Private Attributes
NeighborhoodFunction	m_neighborhood_func

LearningRestraintFunc::Signature	m_learning_restraint_func

Detailed Description

Definition at line 36 of file SOMTrainer.h.

Constructor & Destructor Documentation

template<typename NeighborhoodFunction >

Euclid::SOM::SOMTrainer< NeighborhoodFunction >::SOMTrainer	(	NeighborhoodFunction	neighborhood_func,
		LearningRestraintFunc::Signature	learning_restraint_func
	)

inline

Definition at line 39 of file SOMTrainer.h.

template<typename NeighborhoodFunction >

template<typename DistFunc , typename InputIter , typename InputToWeightFunc , template< class > class Sampler = SamplingPolicy::FullSet>

void Euclid::SOM::SOMTrainer< NeighborhoodFunction >::train	(	SOM< DistFunc > &	som,
		std::size_t	iter_no,
		InputIter	begin,
		InputIter	end,
		InputToWeightFunc	weight_func,
		const Sampler< InputIter > &	sampling_policy = `Sampler<InputIter>{}`
	)

inline

Definition at line 45 of file SOMTrainer.h.

template<typename NeighborhoodFunction >

private

Definition at line 93 of file SOMTrainer.h.

template<typename NeighborhoodFunction >

NeighborhoodFunction Euclid::SOM::SOMTrainer< NeighborhoodFunction >::m_neighborhood_func

private

Definition at line 92 of file SOMTrainer.h.

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