Static regression using Gaussian Mixture Models. More...

#include <rapidXMM.h>

Inheritance diagram for rapidXmmGmr:

Collaboration diagram for rapidXmmGmr:

Public Member Functions
	rapidXmmGmr (xmmToolConfig cfg=xmmToolConfig())

	~rapidXmmGmr ()

std::vector< double >	run (const std::vector< double > &inputVector)

Public Member Functions inherited from xmmStaticTool< xmm::GMM, xmm::GMM >
virtual	~xmmStaticTool ()

Public Member Functions inherited from xmmTool< xmm::GMM, xmm::GMM >
virtual	~xmmTool ()

virtual bool	train (const rapidmix::trainingData &newTrainingData)

virtual bool	reset ()

virtual std::string	getJSON ()

virtual void	writeJSON (const std::string &filepath)

virtual bool	putJSON (const std::string &jsonMessage)

virtual bool	readJSON (const std::string &filepath)

Additional Inherited Members
Protected Member Functions inherited from xmmStaticTool< xmm::GMM, xmm::GMM >
	xmmStaticTool (xmmToolConfig cfg, bool bimodal)

Protected Member Functions inherited from xmmTool< xmm::GMM, xmm::GMM >
	xmmTool (bool bimodal)

virtual void	preProcess (const std::vector< double > &inputVector)

Json::Value	toJSON ()

bool	fromJSON (Json::Value &jm)

Protected Attributes inherited from xmmTool< xmm::GMM, xmm::GMM >
xmm::GMM	model

xmm::TrainingSet	set

Detailed Description

Static regression using Gaussian Mixture Models.

Constructor & Destructor Documentation

rapidXmmGmr::rapidXmmGmr ( xmmToolConfig cfg = xmmToolConfig() )

inline

rapidXmmGmr::~rapidXmmGmr ( )

inline

std::vector< double > rapidXmmGmr::run ( const std::vector< double > & inputVector )

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