SVM (Support Vector Machines) training class for the SVM machine learning. More...

#include <pcl/ml/svm_wrapper.h>

Inheritance diagram for pcl::SVMTrain:

Public Member Functions
	SVMTrain ()
	Constructor. More...

	~SVMTrain ()
	Destructor. More...

void	setParameters (SVMParam param)
	Change default training parameters (pcl::SVMParam). More...

SVMParam	getParameters ()
	Return the current training parameters. More...

SVMModel	getClassifierModel ()
	Return the result of the training. More...

void	setInputTrainingSet (std::vector< SVMData > training_set)
	It adds/store the training set with labelled data. More...

std::vector< SVMData >	getInputTrainingSet ()
	Return the current training set. More...

void	resetTrainingSet ()
	Reset the training set. More...

bool	trainClassifier ()
	Start the training of the SVM classifier. More...

bool	loadProblem (const char *filename)
	Read in a problem (in svmlight format). More...

void	setDebugMode (bool in)
	Set to 1 for debugging info. More...

bool	saveTrainingSet (const char *filename)
	Save the raw training set in a file (in svmlight format). More...

bool	saveNormTrainingSet (const char *filename)
	Save the normalized training set in a file (in svmlight format). More...

Public Member Functions inherited from pcl::SVM
	SVM ()
	Constructor. More...

	~SVM ()
	Destructor. More...

void	getLabel (std::vector< int > &labels)
	Return the labels order from the classifier model. More...

void	saveClassifierModel (const char *filename)
	Save the classifier model in an extern file (in svmlight format). More...

Protected Member Functions
void	doCrossValidation ()
	To cross validate the classifier. More...

void	scaleFactors (std::vector< SVMData > training_set, svm_scaling &scaling)
	It extracts scaling factors from the input training_set. More...

Protected Member Functions inherited from pcl::SVM
char *	readline (FILE *input)
	To read a line from the input file. More...

void	exitInputError (int line_num)
	Outputs an error in file reading. More...

const std::string &	getClassName () const
	Get a string representation of the name of this class. More...

void	adaptInputToLibSVM (std::vector< SVMData > training_set, svm_problem &prob)
	Convert the input format (vector of SVMData) into a readable format for libSVM. More...

void	adaptLibSVMToInput (std::vector< SVMData > &training_set, svm_problem prob)
	Convert the libSVM format (svm_problem) into a easier output format. More...

bool	loadProblem (const char *filename, svm_problem &prob)
	Load a problem from an extern file. More...

bool	saveProblem (const char *filename, bool labelled)
	Save the raw problem in an extern file. More...

bool	saveProblemNorm (const char *filename, svm_problem prob_, bool labelled)
	Save the problem (with normalized values) in an extern file. More...

Protected Attributes
bool	debug_

int	cross_validation_

int	nr_fold_

Protected Attributes inherited from pcl::SVM
std::vector< SVMData >	training_set_

svm_problem	prob_

SVMModel	model_

svm_scaling	scaling_

SVMParam	param_

std::string	class_name_

char *	line_

int	max_line_len_

bool	labelled_training_set_

Additional Inherited Members
Static Protected Member Functions inherited from pcl::SVM
static void	printNull (const char *)
	Set for output printings during classification. More...

Detailed Description

SVM (Support Vector Machines) training class for the SVM machine learning.

It creates a model for the classifier from a labelled input dataset. OPTIONAL: pcl::SVMParam has to be given as input to vary the default training method and parameters.

Definition at line 236 of file svm_wrapper.h.

Constructor & Destructor Documentation

◆ SVMTrain()

pcl::SVMTrain::SVMTrain ( )

inline

Constructor.

Definition at line 264 of file svm_wrapper.h.

◆ ~SVMTrain()

pcl::SVMTrain::~SVMTrain ( )

inline

Destructor.

Definition at line 271 of file svm_wrapper.h.

Member Function Documentation

◆ doCrossValidation()

void pcl::SVMTrain::doCrossValidation ( )

protected

To cross validate the classifier.

It is automatic for probability estimate.

◆ getClassifierModel()

SVMModel pcl::SVMTrain::getClassifierModel ( )

inline

Return the result of the training.

Definition at line 293 of file svm_wrapper.h.

◆ getInputTrainingSet()

std::vector<SVMData> pcl::SVMTrain::getInputTrainingSet ( )

inline

Return the current training set.

Definition at line 307 of file svm_wrapper.h.

◆ getParameters()

SVMParam pcl::SVMTrain::getParameters ( )

inline

Return the current training parameters.

Definition at line 286 of file svm_wrapper.h.

◆ loadProblem()

bool pcl::SVMTrain::loadProblem ( const char * filename )

inline

Read in a problem (in svmlight format).

Returns: false if fails.

Definition at line 327 of file svm_wrapper.h.

References pcl::SVM::loadProblem().

◆ resetTrainingSet()

void pcl::SVMTrain::resetTrainingSet ( )

inline

Reset the training set.

Definition at line 314 of file svm_wrapper.h.

◆ saveNormTrainingSet()

bool pcl::SVMTrain::saveNormTrainingSet ( const char * filename )

inline

Save the normalized training set in a file (in svmlight format).

Returns: false if fails.

Definition at line 355 of file svm_wrapper.h.

References pcl::SVM::saveProblemNorm().

◆ saveTrainingSet()

bool pcl::SVMTrain::saveTrainingSet ( const char * filename )

inline

Save the raw training set in a file (in svmlight format).

Returns: false if fails.

Definition at line 347 of file svm_wrapper.h.

References pcl::SVM::saveProblem().

◆ scaleFactors()

void pcl::SVMTrain::scaleFactors	(	std::vector< SVMData >	training_set,
		svm_scaling &	scaling
	)

protected

It extracts scaling factors from the input training_set.

The scaling of the training_set is a mandatory for a good training of the classifier.

◆ setDebugMode()

void pcl::SVMTrain::setDebugMode ( bool in )

inline

Set to 1 for debugging info.

Definition at line 334 of file svm_wrapper.h.

◆ setInputTrainingSet()

void pcl::SVMTrain::setInputTrainingSet ( std::vector< SVMData > training_set )

inline

It adds/store the training set with labelled data.

Definition at line 300 of file svm_wrapper.h.

◆ setParameters()

void pcl::SVMTrain::setParameters ( SVMParam param )

inline

Change default training parameters (pcl::SVMParam).

Definition at line 279 of file svm_wrapper.h.

◆ trainClassifier()

bool pcl::SVMTrain::trainClassifier ( )

Start the training of the SVM classifier.

Returns: false if fails.

Member Data Documentation

◆ cross_validation_

int pcl::SVMTrain::cross_validation_

protected

Definition at line 250 of file svm_wrapper.h.

◆ debug_

bool pcl::SVMTrain::debug_

protected

Definition at line 249 of file svm_wrapper.h.

◆ nr_fold_

int pcl::SVMTrain::nr_fold_

protected

Definition at line 251 of file svm_wrapper.h.

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

/build/pcl-qv3n_B/pcl-1.8.1+dfsg1/ml/include/pcl/ml/svm_wrapper.h

Public Member Functions

Protected Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ SVMTrain()

◆ ~SVMTrain()

Member Function Documentation

◆ doCrossValidation()

◆ getClassifierModel()

◆ getInputTrainingSet()

◆ getParameters()

◆ loadProblem()

◆ resetTrainingSet()

◆ saveNormTrainingSet()

◆ saveTrainingSet()

◆ scaleFactors()

◆ setDebugMode()

◆ setInputTrainingSet()

◆ setParameters()

◆ trainClassifier()

Member Data Documentation

◆ cross_validation_

◆ debug_

◆ nr_fold_