Inheritance diagram for StochasticDataSetTrainer:

Collaboration diagram for StochasticDataSetTrainer:

Public Member Functions
	StochasticDataSetTrainer (Function *function)

virtual	~StochasticDataSetTrainer ()

virtual void	trainExample (real *example)=0

virtual void	_doTrainEpisode (DataSet *data)
	This method should be overriden by subclasses to train a single episode over the dataset. More...

Public Member Functions inherited from DataSetTrainer
	DataSetTrainer (Function *function)
	Constructor. More...

virtual	~DataSetTrainer ()

virtual void	train (DataSet *data, int maxEpisodes=10)

virtual void	trainEpisode (DataSet *data)
	Trains one episode over the dataset. More...

virtual bool	stop ()

Public Member Functions inherited from Trainer
	Trainer (Function *function)
	Constructor. More...

virtual	~Trainer ()

int	nEpisodes () const

virtual void	init ()

Additional Inherited Members
Public Attributes inherited from Trainer
Function *	_function
	The function this Trainer is optimizing. More...

int	_nEpisodes
	The number of episodes this trainer went through (read-only). More...

Detailed Description

Dataset trainer that trains on one example at a time.

Constructor & Destructor Documentation

StochasticDataSetTrainer::StochasticDataSetTrainer ( Function * function )

StochasticDataSetTrainer::~StochasticDataSetTrainer ( )

virtual

void StochasticDataSetTrainer::_doTrainEpisode ( DataSet * data )

virtual

This method should be overriden by subclasses to train a single episode over the dataset.

virtual void StochasticDataSetTrainer::trainExample ( real * example )

pure virtual

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