ASR::MultidimensionalGaussian Class Reference

#include <MultidimensionalGaussian.h>

Public Member Functions
std::vector< float >	getMean ()
	MultidimensionalGaussian (std::vector< float > means, MatrixXf covariance)
void	sampleRandomValues (std::vector< float > &x)

Private Member Functions
MatrixXf	initMatrixXf (std::vector< float > values, unsigned int rows, unsigned int cols)
void	initVectorFromCSVString (std::vector< float > &x, std::string csv)
VectorXf	initVectorXf (std::vector< float > values)
void	test ()

Private Attributes
MatrixXf	covariance
int	dimension
MatrixXf	L
std::vector< float >	means
GaussianPtr	normal_dist

Detailed Description

This contains only one Gaussian.

Definition at line 41 of file MultidimensionalGaussian.h.

Constructor & Destructor Documentation

ASR::MultidimensionalGaussian::MultidimensionalGaussian ( std::vector< float >  means, MatrixXf  covariance  )

inline

Creates a multidimensional Gaussian-Kernel with the given parameters. The dimension of the means vector has to be the same as the covariance matrix.

Parameters

means	- the means of the gaussian kernels
covariance	- the covariance matrix of the gaussian kernel

Definition at line 57 of file MultidimensionalGaussian.h.

Member Function Documentation

std::vector<float> ASR::MultidimensionalGaussian::getMean ( )

inline

Returns the means of the gaussian.

Returns

the means of the gaussian

Definition at line 103 of file MultidimensionalGaussian.h.

MatrixXf ASR::MultidimensionalGaussian::initMatrixXf ( std::vector< float >  values, unsigned int  rows, unsigned int  cols  )

inlineprivate

Inits a Eigen::MatrixXf with the given values. a list with the values the Eigen::VectorXf with the given values and dimension

Definition at line 127 of file MultidimensionalGaussian.h.

void ASR::MultidimensionalGaussian::initVectorFromCSVString ( std::vector< float > &  x, std::string  csv  )

inlineprivate

Inits a vector<float> with the given values. The given values have to be COMMA SEPERATED e.g. 1,2,3,4

Parameters

a	csv string with the values the std::vector<float> with the given values and dimension

Definition at line 149 of file MultidimensionalGaussian.h.

VectorXf ASR::MultidimensionalGaussian::initVectorXf ( std::vector< float >  values )

inlineprivate

Inits a Eigen::VectorXf with the given values. a list with the values the Eigen::VectorXf with the given values and dimension

Definition at line 111 of file MultidimensionalGaussian.h.

void ASR::MultidimensionalGaussian::sampleRandomValues ( std::vector< float > &  x )

inline

Samples a random vector from the gmm and stores them in a given vector. There are sampled dimension of means (given in the constructor) values.

Parameters

x	- the output vector that gains the generated random values.

Definition at line 78 of file MultidimensionalGaussian.h.

void ASR::MultidimensionalGaussian::test ( )

inlineprivate

Tests the Cholesky decomposition.

Definition at line 166 of file MultidimensionalGaussian.h.

Member Data Documentation

MatrixXf ASR::MultidimensionalGaussian::covariance

private

Definition at line 45 of file MultidimensionalGaussian.h.

int ASR::MultidimensionalGaussian::dimension

private

Definition at line 48 of file MultidimensionalGaussian.h.

MatrixXf ASR::MultidimensionalGaussian::L

private

Definition at line 46 of file MultidimensionalGaussian.h.

std::vector<float> ASR::MultidimensionalGaussian::means

private

Definition at line 44 of file MultidimensionalGaussian.h.

GaussianPtr ASR::MultidimensionalGaussian::normal_dist

private

Definition at line 47 of file MultidimensionalGaussian.h.

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

• MultidimensionalGaussian.h