te::rp::ClassifierISOSegStrategy::Parameters Class Reference

Classifier Parameters. More...

#include <ClassifierISOSegStrategy.h>

Inheritance diagram for te::rp::ClassifierISOSegStrategy::Parameters:
te::rp::ClassifierStrategyParameters te::common::AbstractParameters

Public Types

enum  DistanceType { InvalidDistanceType, MahalanobisDistanceType, BhattacharyyaDistanceType }
 

Public Member Functions

AbstractParametersclone () const
 Create a clone copy of this instance. More...
 
const Parametersoperator= (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

double m_acceptanceThreshold
 The acceptance threshold (the closer to 100%, few clusters are created). More...
 
DistanceType m_distanceType
 Distance type. More...
 

Detailed Description

Classifier Parameters.

Definition at line 67 of file ClassifierISOSegStrategy.h.

Member Enumeration Documentation

◆ DistanceType

Enumerator
InvalidDistanceType 

Invalid distance type.

MahalanobisDistanceType 

Mahalanobis Distance Type.

BhattacharyyaDistanceType 

Bhattacharyya Distance Type.

Definition at line 75 of file ClassifierISOSegStrategy.h.

Constructor & Destructor Documentation

◆ Parameters()

te::rp::ClassifierISOSegStrategy::Parameters::Parameters ( )

◆ ~Parameters()

te::rp::ClassifierISOSegStrategy::Parameters::~Parameters ( )

Member Function Documentation

◆ clone()

AbstractParameters* te::rp::ClassifierISOSegStrategy::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::ClassifierISOSegStrategy::Parameters::operator= ( const Parameters params)

◆ reset()

void te::rp::ClassifierISOSegStrategy::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_acceptanceThreshold

double te::rp::ClassifierISOSegStrategy::Parameters::m_acceptanceThreshold

The acceptance threshold (the closer to 100%, few clusters are created).

Definition at line 83 of file ClassifierISOSegStrategy.h.

◆ m_distanceType

DistanceType te::rp::ClassifierISOSegStrategy::Parameters::m_distanceType

Distance type.

Definition at line 82 of file ClassifierISOSegStrategy.h.


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