te::rp::ClassifierMAPStrategy::Parameters Class Reference

Classifier Parameters. More...

#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:2 - half 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

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

Class ID type definition (zero means invalid ID).

Definition at line 63 of file ClassifierMAPStrategy.h.

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

Class samples container type definition.

Definition at line 67 of file ClassifierMAPStrategy.h.

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

Class sample type definition.

Definition at line 65 of file ClassifierMAPStrategy.h.

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

Multi-classes samples container type definition.

Definition at line 69 of file ClassifierMAPStrategy.h.

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

te::rp::ClassifierMAPStrategy::Parameters::Parameters

(

)

Definition at line 42 of file ClassifierMAPStrategy.cpp.

References reset().

te::rp::ClassifierMAPStrategy::Parameters::~Parameters

(

)

Definition at line 47 of file ClassifierMAPStrategy.cpp.

Member Function Documentation

te::common::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.

Definition at line 69 of file ClassifierMAPStrategy.cpp.

const te::rp::ClassifierMAPStrategy::Parameters & te::rp::ClassifierMAPStrategy::Parameters::operator=

(

const Parameters &

params

)

Definition at line 51 of file ClassifierMAPStrategy.cpp.

References m_prioriCalcSampleStep, m_prioriProbs, and m_trainSamplesPtr.

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.

Definition at line 62 of file ClassifierMAPStrategy.cpp.

Referenced by te::rp::ClassifierMAPStrategy::initialize(), and Parameters().

Member Data Documentation

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

A positive non-zero sample step used when calculating piori probabilities (default:2 - half of samples will be used);.

Definition at line 77 of file ClassifierMAPStrategy.h.

Referenced by te::rp::ClassifierMAPStrategy::execute(), te::rp::ClassifierMAPStrategy::getPrioriProbabilities(), te::rp::ClassifierMAPStrategy::initialize(), and operator=().

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.

Referenced by te::rp::ClassifierMAPStrategy::execute(), te::rp::ClassifierMAPStrategy::initialize(), and operator=().

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.

Referenced by te::qt::widgets::ClassifierWizardPage::getInputParams(), te::rp::ClassifierMAPStrategy::initialize(), and operator=().

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

• C:/TL5_2015_release/terralib5/src/terralib/rp/ClassifierMAPStrategy.h
• C:/TL5_2015_release/terralib5/src/terralib/rp/ClassifierMAPStrategy.cpp