shark::GenericDistTrainer Class Reference

#include <shark/Algorithms/Trainers/Distribution/GenericDistTrainer.h>

Inheritance diagram for shark::GenericDistTrainer:

Public Member Functions
void	train (AbstractDistribution &abstractDist, const std::vector< double > &input) const
Public Member Functions inherited from shark::DistTrainerContainer
const NormalTrainer &	getNormalTrainer () const
void	setNormalTrainer (const NormalTrainer &normalTrainer)

Detailed Description

The trainer which is smart enough to train different kinds of distributions

Note

all train functions should be reentrant

Definition at line 46 of file GenericDistTrainer.h.

Member Function Documentation

train()

void shark::GenericDistTrainer::train ( AbstractDistribution &  abstractDist, const std::vector< double > &  input  ) const

inline

Train an abstract distribution

Parameters

abstractDist	the distribution we want to train
input	the input data used for training the dist

Exceptions

throw

shark exception if training attempt for this distribution failed

Definition at line 56 of file GenericDistTrainer.h.

References shark::DistTrainerContainer::getNormalTrainer(), and SHARKEXCEPTION.

Referenced by shark::NBClassifierTrainer< InputType, OutputType >::train().

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

• include/shark/Algorithms/Trainers/Distribution/GenericDistTrainer.h