HOG2: NN Class Reference

HOG2

#include <NN.h>

Inheritance diagram for NN:

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Collaboration diagram for NN:

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Public Member Functions
	NN (int inputs, int hiddens, int outputs, double learnrate)

	NN (NN *)

	NN (FunctionApproximator *)

	NN (char *)

	~NN ()

void	load (const char *)

void	load (FILE *)

void	load (const NN *)

void	load (const FunctionApproximator *fa)

void	save (const char *)

void	save (FILE *)

double	train (std::vector< double > &input, std::vector< double > &target)

double *	test (const std::vector< double > &input)

double	GetInput (std::vector< double > &input, const std::vector< double > &target)

double	train (std::vector< unsigned int > &input, std::vector< double > &target)

double *	test (const std::vector< unsigned int > &input)

int	getNumInputs ()

double	getInputWeight (int inp, int outp=0)

void	Print ()

Public Member Functions inherited from FunctionApproximator
	FunctionApproximator ()

virtual	~FunctionApproximator ()

virtual void	setLearnRate (double)

virtual double	getLearnRate ()

void	setOutputActivation (tActivation t)

tActivation	getOutputActivation ()

Static Public Member Functions
static bool	validSaveFile (char *fname)

Private Member Functions
void	allocateMemory (const NN *nn=0)

void	freeMemory ()

double	g (double a)

double	dg (double a)

double	outputerr (const std::vector< double > &output, const std::vector< double > &expected, int which)

double	internalerr (const std::vector< double > &output, const std::vector< double > &expected, int which)

double	internalinputerr (const std::vector< double > &output, const std::vector< double > &expected, int which)

double	error (const std::vector< double > &outputs)

Private Attributes
std::vector< std::vector< std::vector< double > > >	weights

std::vector< std::vector< std::vector< double > > >	updatedweights

std::vector< std::vector< std::vector< double > > >	errors

std::vector< double >	hidden

std::vector< double >	output

int	inputs

int	hiddens

int	outputs

Additional Inherited Members
Protected Attributes inherited from FunctionApproximator
double	rate

tActivation	outputActivation

Detailed Description

Definition at line 7 of file NN.h.

Constructor & Destructor Documentation

◆ NN() [1/4]

NN::NN	(	int	inputs,
		int	hiddens,
		int	outputs,
		double	learnrate
	)

Definition at line 22 of file NN.cpp.

References allocateMemory(), kExponential, FunctionApproximator::outputActivation, and FunctionApproximator::rate.

◆ NN() [2/4]

NN::NN ( NN * nn )

Definition at line 35 of file NN.cpp.

References allocateMemory(), hiddens, inputs, FunctionApproximator::outputActivation, outputs, and FunctionApproximator::rate.

◆ NN() [3/4]

NN::NN ( FunctionApproximator * fa )

Definition at line 52 of file NN.cpp.

References allocateMemory(), hiddens, inputs, FunctionApproximator::outputActivation, outputs, and FunctionApproximator::rate.

◆ NN() [4/4]

NN::NN ( char * f )

Definition at line 46 of file NN.cpp.

References inputs, and load().

◆ ~NN()

NN::~NN ( )

Definition at line 30 of file NN.cpp.

References freeMemory().

Member Function Documentation

◆ allocateMemory()

void NN::allocateMemory ( const NN * nn = 0 )

private

Definition at line 63 of file NN.cpp.

References errors, hidden, hiddens, inputs, output, outputs, updatedweights, and weights.

Referenced by load(), and NN().

◆ dg()

double NN::dg ( double a )

private

Definition at line 297 of file NN.cpp.

Referenced by internalerr(), internalinputerr(), and outputerr().

◆ error()

double NN::error ( const std::vector< double > & outputs )

private

Definition at line 333 of file NN.cpp.

References output, and outputs.

Referenced by GetInput(), and train().

◆ freeMemory()

void NN::freeMemory ( )

private

Definition at line 119 of file NN.cpp.

Referenced by load(), and ~NN().

◆ g()

double NN::g ( double a )

private

Definition at line 292 of file NN.cpp.

Referenced by test().

◆ GetInput()

double NN::GetInput	(	std::vector< double > &	input,
		const std::vector< double > &	target
	)

virtual

Implements FunctionApproximator.

Definition at line 413 of file NN.cpp.

References error(), hiddens, inputs, internalinputerr(), output, test(), and weights.

◆ getInputWeight()

double NN::getInputWeight	(	int	inp,
		int	outp = `0`
	)

inlinevirtual

Reimplemented from FunctionApproximator.

Definition at line 29 of file NN.h.

References weights.

◆ getNumInputs()

int NN::getNumInputs ( )

inlinevirtual

Reimplemented from FunctionApproximator.

Definition at line 28 of file NN.h.

References inputs.

◆ internalerr()

double NN::internalerr	(	const std::vector< double > &	output,
		const std::vector< double > &	expected,
		int	which
	)

private

Definition at line 312 of file NN.cpp.

References dg(), hidden, outputerr(), outputs, and weights.

Referenced by train().

◆ internalinputerr()

double NN::internalinputerr	(	const std::vector< double > &	output,
		const std::vector< double > &	expected,
		int	which
	)

private

Definition at line 323 of file NN.cpp.

References dg(), hidden, outputerr(), outputs, and weights.

Referenced by GetInput().

◆ load() [1/4]

void NN::load ( const char * fname )

virtual

Implements FunctionApproximator.

Definition at line 195 of file NN.cpp.

Referenced by NN().

◆ load() [2/4]

void NN::load ( const FunctionApproximator * fa )

inlinevirtual

Implements FunctionApproximator.

Definition at line 17 of file NN.h.

References load().

Referenced by load().

◆ load() [3/4]

void NN::load ( const NN * nn )

Definition at line 144 of file NN.cpp.

References allocateMemory(), errors, freeMemory(), hiddens, inputs, FunctionApproximator::outputActivation, outputs, and weights.

◆ load() [4/4]

void NN::load ( FILE * f )

virtual

Implements FunctionApproximator.

Definition at line 208 of file NN.cpp.

References allocateMemory(), errors, freeMemory(), hiddens, inputs, outputs, VERSION, and weights.

◆ outputerr()

double NN::outputerr	(	const std::vector< double > &	output,
		const std::vector< double > &	expected,
		int	which
	)

private

Definition at line 303 of file NN.cpp.

References dg(), kExponential, and FunctionApproximator::outputActivation.

Referenced by internalerr(), internalinputerr(), and train().

◆ Print()

void NN::Print ( )

virtual

Implements FunctionApproximator.

Definition at line 502 of file NN.cpp.

References hiddens, outputs, and weights.

◆ save() [1/2]

void NN::save ( const char * fname )

virtual

Implements FunctionApproximator.

Definition at line 254 of file NN.cpp.

◆ save() [2/2]

void NN::save ( FILE * f )

virtual

Implements FunctionApproximator.

Definition at line 267 of file NN.cpp.

References hiddens, inputs, outputs, VERSION, and weights.

◆ test() [1/2]

double * NN::test ( const std::vector< double > & input )

virtual

Implements FunctionApproximator.

Definition at line 429 of file NN.cpp.

References g(), hidden, hiddens, inputs, kExponential, kStep, output, FunctionApproximator::outputActivation, outputs, and weights.

Referenced by GetInput(), and train().

◆ test() [2/2]

double * NN::test ( const std::vector< unsigned int > & input )

virtual

Implements FunctionApproximator.

Definition at line 466 of file NN.cpp.

References g(), hidden, hiddens, kExponential, kStep, output, FunctionApproximator::outputActivation, outputs, and weights.

◆ train() [1/2]

double NN::train	(	std::vector< double > &	input,
		std::vector< double > &	target
	)

virtual

Implements FunctionApproximator.

Definition at line 344 of file NN.cpp.

References error(), errors, hidden, hiddens, inputs, internalerr(), output, outputerr(), outputs, FunctionApproximator::rate, test(), updatedweights, and weights.

◆ train() [2/2]

double NN::train	(	std::vector< unsigned int > &	input,
		std::vector< double > &	target
	)

virtual

Implements FunctionApproximator.

Definition at line 377 of file NN.cpp.

References error(), errors, hidden, hiddens, internalerr(), output, outputerr(), outputs, FunctionApproximator::rate, test(), and weights.

◆ validSaveFile()

bool NN::validSaveFile ( char * fname )

static

Definition at line 172 of file NN.cpp.

References VERSION.

Member Data Documentation

◆ errors

std::vector< std::vector< std::vector<double> > > NN::errors

private

Definition at line 38 of file NN.h.

Referenced by allocateMemory(), load(), and train().

◆ hidden

std::vector<double> NN::hidden

private

Definition at line 39 of file NN.h.

Referenced by allocateMemory(), internalerr(), internalinputerr(), test(), and train().

◆ hiddens

int NN::hiddens

private

Definition at line 41 of file NN.h.

Referenced by allocateMemory(), GetInput(), load(), NN(), Print(), save(), test(), and train().

◆ inputs

int NN::inputs

private

Definition at line 41 of file NN.h.

Referenced by allocateMemory(), GetInput(), getNumInputs(), load(), NN(), save(), test(), and train().

◆ output

std::vector<double> NN::output

private

Definition at line 40 of file NN.h.

Referenced by allocateMemory(), error(), GetInput(), test(), and train().

◆ outputs

int NN::outputs

private

Definition at line 41 of file NN.h.

Referenced by allocateMemory(), error(), internalerr(), internalinputerr(), load(), NN(), Print(), save(), test(), and train().

◆ updatedweights

std::vector< std::vector< std::vector<double> > > NN::updatedweights

private

Definition at line 37 of file NN.h.

Referenced by allocateMemory(), and train().

◆ weights

std::vector< std::vector< std::vector<double> > > NN::weights

private

Definition at line 36 of file NN.h.

Referenced by allocateMemory(), GetInput(), getInputWeight(), internalerr(), internalinputerr(), load(), Print(), save(), test(), and train().

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

/home/sturtevant/nightly/hog2/utils/NN.h
/home/sturtevant/nightly/hog2/utils/NN.cpp