rapidmix Namespace Reference

Classes
class	machineLearning
	Host class for machine learning algorithms. More...
struct	runResults_t
	A generic ouptut struct to fit all kinds of models. More...
class	trainingData

Typedefs
typedef struct rapidmix::runResults_t	runResults
	A generic ouptut struct to fit all kinds of models. More...
typedef machineLearning< classification< double > >	staticClassification
	static classification using KNN from RapidLib More...
typedef machineLearning< regression< double > >	staticRegression
	static regression using Neural Networks from RapidLib More...
typedef machineLearning< seriesClassification< double > >	dtwTemporalClassification
	temporal classification using Dynamic Time Warping from RapidLib More...
typedef xmmToolConfig	xmmConfig
	configuration for XMM based algorithms More...
typedef machineLearning< rapidXmmGmm >	xmmStaticClassification
	static classification using Gaussian Mixture Models from XMM More...
typedef machineLearning< rapidXmmGmr >	xmmStaticRegression
	static regression using Gaussian Mixture Models from XMM More...
typedef machineLearning< rapidXmmHmm >	xmmTemporalClassification
	temporal classification using Hierarchical Hidden Markov Models from XMM More...
typedef machineLearning< rapidXmmHmr >	xmmTemporalRegression
	temporal regression using Hierarchical Hidden Markov Models from XMM More...
typedef machineLearning< rapidGVF >	gvfTemporalVariation
	temporal variation estimation using GVF library More...
typedef maxiFFT	FFT
typedef maxiMFCC	MFCC
typedef rapidStream< double >	rapidStream
typedef pipoHost	pipoHost
typedef pipoStreamAttributes	pipoStreamAttributes

Functions
void	trainingData2rapidLib (const trainingData &newTrainingData, std::vector< trainingExample< double > > &trainingSet)

Typedef Documentation

dtwTemporalClassification

typedef machineLearning<seriesClassification<double> > rapidmix::dtwTemporalClassification

temporal classification using Dynamic Time Warping from RapidLib

FFT

typedef maxiFFT rapidmix::FFT

gvfTemporalVariation

typedef machineLearning<rapidGVF> rapidmix::gvfTemporalVariation

temporal variation estimation using GVF library

MFCC

typedef maxiMFCC rapidmix::MFCC

pipoHost

typedef pipoHost rapidmix::pipoHost

pipoStreamAttributes

typedef pipoStreamAttributes rapidmix::pipoStreamAttributes

rapidStream

typedef rapidStream<double> rapidmix::rapidStream

runResults

typedef struct rapidmix::runResults_t rapidmix::runResults

A generic ouptut struct to fit all kinds of models.

staticClassification

typedef machineLearning<classification<double> > rapidmix::staticClassification

static classification using KNN from RapidLib

staticRegression

typedef machineLearning<regression<double> > rapidmix::staticRegression

static regression using Neural Networks from RapidLib

xmmConfig

typedef xmmToolConfig rapidmix::xmmConfig

configuration for XMM based algorithms

xmmStaticClassification

typedef machineLearning<rapidXmmGmm> rapidmix::xmmStaticClassification

static classification using Gaussian Mixture Models from XMM

xmmStaticRegression

typedef machineLearning<rapidXmmGmr> rapidmix::xmmStaticRegression

static regression using Gaussian Mixture Models from XMM

xmmTemporalClassification

typedef machineLearning<rapidXmmHmm> rapidmix::xmmTemporalClassification

temporal classification using Hierarchical Hidden Markov Models from XMM

xmmTemporalRegression

typedef machineLearning<rapidXmmHmr> rapidmix::xmmTemporalRegression

temporal regression using Hierarchical Hidden Markov Models from XMM

Function Documentation

trainingData2rapidLib()

void rapidmix::trainingData2rapidLib	(	const trainingData &	newTrainingData,
		std::vector< trainingExample< double > > &	trainingSet
	)