iRoCS Toolbox  1.1.0
Public Member Functions
TrainingParameters Class Reference

#include <TrainingParameters.hh>

Inheritance diagram for TrainingParameters:
Collaboration diagram for TrainingParameters:

Public Member Functions

 TrainingParameters ()
 
virtual ~TrainingParameters ()
 
void addTrainFile (TrainfileParameters *parameters)
 
std::string check ()
 
virtual double cost () const
 
virtual std::string featureGroup () const
 
virtual double gamma () const
 
virtual bool generateRandomSamples () const
 
virtual iRoCS::Features::NormalizationType houghFeatureNormalization () const
 
virtual std::string modelFileName () const
 
virtual int nInRootSamples () const
 
virtual int nOutRootSamples () const
 
virtual iRoCS::Features::NormalizationType sdFeatureNormalization () const
 
virtual void setCost (double cost)
 
virtual void setFeatureGroup (std::string const &group)
 
virtual void setGamma (double gamma)
 
virtual void setGenerateRandomSamples (bool generate)
 
virtual void setHoughFeatureNormalization (iRoCS::Features::NormalizationType normType)
 
virtual void setModelFileName (std::string const &name)
 
virtual void setNInRootSamples (int samples)
 
virtual void setNOutRootSamples (int samples)
 
virtual void setSdFeatureNormalization (iRoCS::Features::NormalizationType normType)
 
virtual std::vector< TrainfileParameters * > trainFiles () const
 

Detailed Description

Definition at line 37 of file TrainingParameters.hh.

Constructor & Destructor Documentation

◆ TrainingParameters()

TrainingParameters::TrainingParameters ( )

◆ ~TrainingParameters()

virtual TrainingParameters::~TrainingParameters ( )
virtual

Member Function Documentation

◆ addTrainFile()

void TrainingParameters::addTrainFile ( TrainfileParameters parameters)

◆ trainFiles()

virtual std::vector<TrainfileParameters*> TrainingParameters::trainFiles ( ) const
virtual

◆ setFeatureGroup()

virtual void TrainingParameters::setFeatureGroup ( std::string const &  group)
virtual

◆ featureGroup()

virtual std::string TrainingParameters::featureGroup ( ) const
virtual

◆ setGenerateRandomSamples()

virtual void TrainingParameters::setGenerateRandomSamples ( bool  generate)
virtual

◆ generateRandomSamples()

virtual bool TrainingParameters::generateRandomSamples ( ) const
virtual

◆ setNInRootSamples()

virtual void TrainingParameters::setNInRootSamples ( int  samples)
virtual

◆ nInRootSamples()

virtual int TrainingParameters::nInRootSamples ( ) const
virtual

◆ setNOutRootSamples()

virtual void TrainingParameters::setNOutRootSamples ( int  samples)
virtual

◆ nOutRootSamples()

virtual int TrainingParameters::nOutRootSamples ( ) const
virtual

◆ setModelFileName()

virtual void TrainingParameters::setModelFileName ( std::string const &  name)
virtual

◆ modelFileName()

virtual std::string TrainingParameters::modelFileName ( ) const
virtual

◆ setSdFeatureNormalization()

virtual void TrainingParameters::setSdFeatureNormalization ( iRoCS::Features::NormalizationType  normType)
virtual

◆ sdFeatureNormalization()

virtual iRoCS::Features::NormalizationType TrainingParameters::sdFeatureNormalization ( ) const
virtual

◆ setHoughFeatureNormalization()

virtual void TrainingParameters::setHoughFeatureNormalization ( iRoCS::Features::NormalizationType  normType)
virtual

◆ houghFeatureNormalization()

virtual iRoCS::Features::NormalizationType TrainingParameters::houghFeatureNormalization ( ) const
virtual

◆ setCost()

virtual void TrainingParameters::setCost ( double  cost)
virtual

◆ cost()

virtual double TrainingParameters::cost ( ) const
virtual

◆ setGamma()

virtual void TrainingParameters::setGamma ( double  gamma)
virtual

◆ gamma()

virtual double TrainingParameters::gamma ( ) const
virtual

◆ check()

std::string TrainingParameters::check ( )

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