Gaussian Class Reference

#include <MemoryX/libraries/helpers/EarlyVisionHelpers/Gaussian.h>

Public Types
using	covariance_type = Eigen::MatrixXd
using	samples_type = Eigen::MatrixXd
using	value_type = Eigen::VectorXd

Public Member Functions
value_type	drawSample ()
value_type	drawSampleDiagonalCovariance ()
double	evaluate (const value_type &point)
	Gaussian ()
	Gaussian (const Gaussian &prototype)
	Gaussian (const value_type &mean, const covariance_type &covariance)
	Gaussian (int dimension)
void	generateFromSamples (const samples_type &samples)
const covariance_type &	getCovariance () const
int	getDimensions () const
const value_type &	getMean () const
double	mahalanobis (const value_type &point)
Gaussian &	operator= (const Gaussian &prototype)
void	set (const Gaussian &prototype)
void	set (const value_type &mean, const covariance_type &cov)
void	setCovariance (const covariance_type &cov)
void	setMean (const value_type &mean)

Friends
std::ostream &	operator<< (std::ostream &stream, const Gaussian &rhs)

Detailed Description

Definition at line 50 of file Gaussian.h.

Member Typedef Documentation

covariance_type

using covariance_type = Eigen::MatrixXd

Definition at line 57 of file Gaussian.h.

samples_type

using samples_type = Eigen::MatrixXd

Definition at line 58 of file Gaussian.h.

value_type

using value_type = Eigen::VectorXd

Definition at line 56 of file Gaussian.h.

Constructor & Destructor Documentation

Gaussian() [1/4]

Gaussian

(

)

Definition at line 21 of file Gaussian.cpp.

Gaussian() [2/4]

Gaussian

(

int

dimension

)

Definition at line 26 of file Gaussian.cpp.

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Gaussian() [3/4]

Gaussian

(

const Gaussian &

prototype

)

Definition at line 35 of file Gaussian.cpp.

Gaussian() [4/4]

Gaussian	(	const value_type &	mean,
		const covariance_type &	covariance
	)

Definition at line 40 of file Gaussian.cpp.

Member Function Documentation

drawSample()

Gaussian::value_type drawSample

(

)

Definition at line 98 of file Gaussian.cpp.

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drawSampleDiagonalCovariance()

Gaussian::value_type drawSampleDiagonalCovariance

(

)

Definition at line 136 of file Gaussian.cpp.

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evaluate()

double evaluate

(

const value_type &

point

)

Definition at line 57 of file Gaussian.cpp.

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generateFromSamples()

void generateFromSamples

(

const samples_type &

samples

)

Definition at line 182 of file Gaussian.cpp.

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getCovariance()

const covariance_type& getCovariance ( ) const

inline

Definition at line 82 of file Gaussian.h.

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getDimensions()

int getDimensions ( ) const

inline

Definition at line 94 of file Gaussian.h.

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getMean()

const value_type& getMean ( ) const

inline

Definition at line 88 of file Gaussian.h.

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mahalanobis()

double mahalanobis

(

const value_type &

point

)

Definition at line 78 of file Gaussian.cpp.

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operator=()

Gaussian& operator= ( const Gaussian &  prototype )

inline

Definition at line 101 of file Gaussian.h.

set() [1/2]

void set

(

const Gaussian &

prototype

)

Definition at line 219 of file Gaussian.cpp.

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set() [2/2]

void set	(	const value_type &	mean,
		const covariance_type &	cov
	)

Definition at line 231 of file Gaussian.cpp.

setCovariance()

void setCovariance

(

const covariance_type &

cov

)

Definition at line 272 of file Gaussian.cpp.

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setMean()

void setMean

(

const value_type &

mean

)

Definition at line 255 of file Gaussian.cpp.

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Friends And Related Function Documentation

operator<<

std::ostream& operator<< ( std::ostream &  stream, const Gaussian &  rhs  )

friend

Definition at line 115 of file Gaussian.h.

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

• MemoryX/libraries/helpers/EarlyVisionHelpers/Gaussian.h
• MemoryX/libraries/helpers/EarlyVisionHelpers/Gaussian.cpp