#include <ClassifierMAPStrategy.h>

Inheritance diagram for te::rp::ClassifierMAPStrategy::Parameters:

Public Types
typedef unsigned int	ClassIDT
	Class ID type definition (zero means invalid ID). More...

typedef std::vector< ClassSampleT >	ClassSamplesContainerT
	Class samples container type definition. More...

typedef std::vector< double >	ClassSampleT
	Class sample type definition. More...

typedef std::map< ClassIDT, ClassSamplesContainerT >	MClassesSamplesCT
	Multi-classes samples container type definition. More...

typedef boost::shared_ptr< MClassesSamplesCT >	MClassesSamplesCTPtr
	A shared pointer to a multi classes samples container type definition. More...

Public Member Functions
AbstractParameters *	clone () const
	Create a clone copy of this instance. More...

const Parameters &	operator= (const Parameters &params)

	Parameters ()

void	reset () throw ( te::rp::Exception )
	Clear all internal allocated resources and reset the parameters instance to its initial state. More...

	~Parameters ()

Public Attributes
unsigned int	m_prioriCalcSampleStep
	A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples will be used);. More...

std::vector< double >	m_prioriProbs
	Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal calcule of priori probabilities). More...

MClassesSamplesCTPtr	m_trainSamplesPtr
	A shared pointer to a always-valid structure where trainning samples are stored. More...

Detailed Description

Classifier Parameters.

Definition at line 59 of file ClassifierMAPStrategy.h.

Member Typedef Documentation

◆ ClassIDT

typedef unsigned int te::rp::ClassifierMAPStrategy::Parameters::ClassIDT

Class ID type definition (zero means invalid ID).

Definition at line 63 of file ClassifierMAPStrategy.h.

◆ ClassSamplesContainerT

typedef std::vector< ClassSampleT > te::rp::ClassifierMAPStrategy::Parameters::ClassSamplesContainerT

Class samples container type definition.

Definition at line 67 of file ClassifierMAPStrategy.h.

◆ ClassSampleT

typedef std::vector< double > te::rp::ClassifierMAPStrategy::Parameters::ClassSampleT

Class sample type definition.

Definition at line 65 of file ClassifierMAPStrategy.h.

◆ MClassesSamplesCT

typedef std::map< ClassIDT, ClassSamplesContainerT > te::rp::ClassifierMAPStrategy::Parameters::MClassesSamplesCT

Multi-classes samples container type definition.

Definition at line 69 of file ClassifierMAPStrategy.h.

◆ MClassesSamplesCTPtr

typedef boost::shared_ptr<MClassesSamplesCT> te::rp::ClassifierMAPStrategy::Parameters::MClassesSamplesCTPtr

A shared pointer to a multi classes samples container type definition.

Definition at line 71 of file ClassifierMAPStrategy.h.

Constructor & Destructor Documentation

◆ Parameters()

te::rp::ClassifierMAPStrategy::Parameters::Parameters ( )

◆ ~Parameters()

te::rp::ClassifierMAPStrategy::Parameters::~Parameters ( )

Member Function Documentation

◆ clone()

AbstractParameters* te::rp::ClassifierMAPStrategy::Parameters::clone ( ) const

virtual

Create a clone copy of this instance.

Returns: A clone copy of this instance.

Note: The caller will take the ownership of the returned pointer.

Implements te::common::AbstractParameters.

◆ operator=()

const Parameters& te::rp::ClassifierMAPStrategy::Parameters::operator= ( const Parameters & params )

◆ reset()

void te::rp::ClassifierMAPStrategy::Parameters::reset	(		)
throw	(	te::rp::Exception
	)

virtual

Clear all internal allocated resources and reset the parameters instance to its initial state.

Implements te::common::AbstractParameters.

Member Data Documentation

◆ m_prioriCalcSampleStep

unsigned int te::rp::ClassifierMAPStrategy::Parameters::m_prioriCalcSampleStep

A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples will be used);.

Definition at line 77 of file ClassifierMAPStrategy.h.

◆ m_prioriProbs

std::vector< double > te::rp::ClassifierMAPStrategy::Parameters::m_prioriProbs

Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal calcule of priori probabilities).

Definition at line 75 of file ClassifierMAPStrategy.h.

◆ m_trainSamplesPtr

MClassesSamplesCTPtr te::rp::ClassifierMAPStrategy::Parameters::m_trainSamplesPtr

A shared pointer to a always-valid structure where trainning samples are stored.

Definition at line 73 of file ClassifierMAPStrategy.h.

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

/home/castejon/castejon_files/develop/terralib5/git_master/src/terralib/rp/ClassifierMAPStrategy.h

Public Types

Public Member Functions

Public Attributes