HOG2: perceptron Class Reference

HOG2

#include <Perceptron.h>

Inheritance diagram for perceptron:

Inheritance graph

[legend]

Collaboration diagram for perceptron:

Collaboration graph

[legend]

Public Member Functions
	perceptron (int inputs, int outputs, double learnrate)

	perceptron (perceptron *)

	perceptron (char *)

	perceptron (FunctionApproximator *)

	~perceptron ()

void	save (const char *)

void	save (FILE *)

void	load (const char *)

void	load (FILE *)

void	load (const FunctionApproximator *fa)

void	load (const perceptron *)

double	train (std::vector< double > &input, std::vector< double > &output2)

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

double	train (std::vector< unsigned int > &input, std::vector< double > &output2)

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

void	Print ()

int	getNumInputs ()

double	getInputWeight (int inp, int outp=0)

Public Member Functions inherited from FunctionApproximator
	FunctionApproximator ()

virtual	~FunctionApproximator ()

virtual double	GetInput (std::vector< double > &input, const std::vector< double > &target)=0

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 ()

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	error (double *output)

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

std::vector< double >	output

int	inputs

int	outputs

Additional Inherited Members
Protected Attributes inherited from FunctionApproximator
double	rate

tActivation	outputActivation

Detailed Description

Definition at line 14 of file Perceptron.h.

Constructor & Destructor Documentation

◆ perceptron() [1/4]

perceptron::perceptron	(	int	inputs,
		int	outputs,
		double	learnrate
	)

Definition at line 18 of file Perceptron.cpp.

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

◆ perceptron() [2/4]

perceptron::perceptron ( perceptron * perp )

Definition at line 29 of file Perceptron.cpp.

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

◆ perceptron() [3/4]

perceptron::perceptron ( char * f )

Definition at line 40 of file Perceptron.cpp.

References inputs, load(), outputs, and weight.

◆ perceptron() [4/4]

perceptron::perceptron ( FunctionApproximator * fa )

Definition at line 48 of file Perceptron.cpp.

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

◆ ~perceptron()

perceptron::~perceptron ( )

Definition at line 61 of file Perceptron.cpp.

References freeMemory().

Member Function Documentation

◆ allocateMemory()

void perceptron::allocateMemory ( )

private

Definition at line 66 of file Perceptron.cpp.

References inputs, output, outputs, and weight.

Referenced by load(), and perceptron().

◆ dg()

double perceptron::dg ( double a )

private

◆ error()

double perceptron::error ( double * output )

private

◆ freeMemory()

void perceptron::freeMemory ( )

private

Definition at line 82 of file Perceptron.cpp.

References weight.

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

◆ g()

double perceptron::g ( double a )

private

◆ getInputWeight()

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

inlinevirtual

Reimplemented from FunctionApproximator.

Definition at line 38 of file Perceptron.h.

References weight.

◆ getNumInputs()

int perceptron::getNumInputs ( )

inlinevirtual

Reimplemented from FunctionApproximator.

Definition at line 37 of file Perceptron.h.

References inputs.

◆ load() [1/4]

void perceptron::load ( const char * fname )

virtual

Implements FunctionApproximator.

Definition at line 95 of file Perceptron.cpp.

Referenced by perceptron().

◆ load() [2/4]

void perceptron::load ( const FunctionApproximator * fa )

inlinevirtual

Implements FunctionApproximator.

Definition at line 26 of file Perceptron.h.

References load().

Referenced by load().

◆ load() [3/4]

void perceptron::load ( const perceptron * p )

Definition at line 148 of file Perceptron.cpp.

References allocateMemory(), freeMemory(), inputs, FunctionApproximator::outputActivation, outputs, and weight.

◆ load() [4/4]

void perceptron::load ( FILE * f )

virtual

Implements FunctionApproximator.

Definition at line 115 of file Perceptron.cpp.

References allocateMemory(), freeMemory(), inputs, outputs, VERSION, and weight.

◆ outputerr()

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

private

Definition at line 230 of file Perceptron.cpp.

Referenced by train().

◆ Print()

void perceptron::Print ( )

virtual

Implements FunctionApproximator.

Definition at line 306 of file Perceptron.cpp.

References inputs, outputs, and weight.

◆ save() [1/2]

void perceptron::save ( const char * fname )

virtual

Implements FunctionApproximator.

Definition at line 191 of file Perceptron.cpp.

◆ save() [2/2]

void perceptron::save ( FILE * f )

virtual

Implements FunctionApproximator.

Definition at line 204 of file Perceptron.cpp.

References inputs, outputs, VERSION, and weight.

◆ test() [1/2]

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

virtual

Implements FunctionApproximator.

Definition at line 272 of file Perceptron.cpp.

References inputs, kStep, output, FunctionApproximator::outputActivation, outputs, and weight.

Referenced by train().

◆ test() [2/2]

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

virtual

Implements FunctionApproximator.

Definition at line 293 of file Perceptron.cpp.

References inputs, output, outputs, and weight.

◆ train() [1/2]

double perceptron::train	(	std::vector< double > &	input,
		std::vector< double > &	output2
	)

virtual

Implements FunctionApproximator.

Definition at line 237 of file Perceptron.cpp.

References inputs, output, outputerr(), outputs, FunctionApproximator::rate, test(), and weight.

◆ train() [2/2]

double perceptron::train	(	std::vector< unsigned int > &	input,
		std::vector< double > &	output2
	)

virtual

Implements FunctionApproximator.

Definition at line 254 of file Perceptron.cpp.

References inputs, output, outputerr(), outputs, FunctionApproximator::rate, test(), and weight.

◆ validSaveFile()

bool perceptron::validSaveFile ( char * fname )

static

Definition at line 168 of file Perceptron.cpp.

References VERSION.

Member Data Documentation

◆ inputs

int perceptron::inputs

private

Definition at line 52 of file Perceptron.h.

Referenced by allocateMemory(), getNumInputs(), load(), perceptron(), Print(), save(), test(), and train().

◆ output

std::vector<double> perceptron::output

private

Definition at line 49 of file Perceptron.h.

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

◆ outputs

int perceptron::outputs

private

Definition at line 52 of file Perceptron.h.

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

◆ weight

std::vector<std::vector<double> > perceptron::weight

private

Definition at line 48 of file Perceptron.h.

Referenced by allocateMemory(), freeMemory(), getInputWeight(), load(), perceptron(), Print(), save(), test(), and train().

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

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