Point Cloud Library (PCL)  1.9.1
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pcl::SVMTrain Class Reference

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

#include <pcl/ml/svm_wrapper.h>

+ Inheritance diagram for pcl::SVMTrain:
+ Collaboration 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< SVMDatagetInputTrainingSet ()
 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< SVMDatatraining_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

pcl::SVMTrain::SVMTrain ( )
inline

Constructor.

Definition at line 264 of file svm_wrapper.h.

References pcl::SVM::class_name_, and pcl::SVM::printNull().

pcl::SVMTrain::~SVMTrain ( )
inline

Destructor.

Definition at line 271 of file svm_wrapper.h.

References svm_model::l, and pcl::SVM::model_.

Member Function Documentation

void pcl::SVMTrain::doCrossValidation ( )
protected

To cross validate the classifier.

It is automatic for probability estimate.

SVMModel pcl::SVMTrain::getClassifierModel ( )
inline

Return the result of the training.

Definition at line 293 of file svm_wrapper.h.

References pcl::SVM::model_.

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

Return the current training set.

Definition at line 307 of file svm_wrapper.h.

References pcl::SVM::training_set_.

SVMParam pcl::SVMTrain::getParameters ( )
inline

Return the current training parameters.

Definition at line 286 of file svm_wrapper.h.

References pcl::SVM::param_.

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(), and pcl::SVM::prob_.

void pcl::SVMTrain::resetTrainingSet ( )
inline

Reset the training set.

Definition at line 314 of file svm_wrapper.h.

References pcl::SVM::training_set_.

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::prob_, and pcl::SVM::saveProblemNorm().

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().

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.

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

Set to 1 for debugging info.

Definition at line 334 of file svm_wrapper.h.

References pcl::SVM::printNull().

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.

References pcl::SVM::training_set_.

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

Change default training parameters (pcl::SVMParam).

Definition at line 279 of file svm_wrapper.h.

References pcl::SVM::param_.

bool pcl::SVMTrain::trainClassifier ( )

Start the training of the SVM classifier.

Returns
false if fails.

Member Data Documentation

int pcl::SVMTrain::cross_validation_
protected

Definition at line 250 of file svm_wrapper.h.

bool pcl::SVMTrain::debug_
protected

Definition at line 249 of file svm_wrapper.h.

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: