Stores a set of training examples for a neural net. More...

#include <corpus.h>

Public Member Functions
	Corpus (string file="")
	Construction, destruction.
	Corpus (int dim)
	Constructor, creating an empty corpus of dimension dim.
	Corpus (const Corpus &c, unsigned int keepOnly=-1)
	Copy constructor.
	~Corpus ()
	Frees the memory.
void	erase (int dimension=0)
	Erases the corpus and start a new one with the given dimension.
bool	load (string file, bool verbose=false)
	Input, output.
void	write (string file)
	Write the corpus to a file.
void	display () const
	Writes to the standard output the set of elements.
unsigned int	size () const
	Accessors.
unsigned int	dimension () const
	Returns the number of inputs of each training example (i.e. the number of coordinates of each vector)
double *	elem (unsigned int index) const
	Returns the elem pointed by the given index.
std::string	name (unsigned int index) const
	Returns the name of the elem pointed by the given index.
void	addElem (double *elem, std::string name="")
	Add a sample to the corpus.
std::vector< double >	bounds () const
	Retuns the bounds of the corpus (the vector is : min_1 max_1 min_2 max_2 ... min_n max_n)

Detailed Description

Stores a set of training examples for a neural net.

Constructor & Destructor Documentation

Corpus::Corpus ( string file = "" )

Construction, destruction.

Default constructor. Loads a file if specified.

void Corpus::display ( ) const

Writes to the standard output the set of elements.

Input, output.

Loads the corpus from an XML file

unsigned int Corpus::size ( ) const

Accessors.

Returns the number of elements (i.e. vectors) contained in the corpus

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