Public Member Functions | Protected Member Functions | List of all members
te::rp::MixtureModelStrategyParameters Class Referenceabstract

Mixture model strategy parameters base class. More...

#include <MixtureModelStrategyParameters.h>

Inheritance diagram for te::rp::MixtureModelStrategyParameters:
te::rp::StrategyParameters te::common::AbstractParameters te::rp::MixtureModelLinearStrategy::Parameters te::rp::MixtureModelPCAStrategy::Parameters

Public Member Functions

virtual AbstractParameters * clone () const =0
 Create a clone copy of this instance. More...
 
virtual void reset () _NOEXCEPT_OP(false)=0
 Clear all internal allocated resources and reset the parameters instance to its initial state. More...
 
virtual ~MixtureModelStrategyParameters ()
 

Protected Member Functions

 MixtureModelStrategyParameters ()
 
 MixtureModelStrategyParameters (const MixtureModelStrategyParameters &other)
 

Detailed Description

Mixture model strategy parameters base class.

Definition at line 36 of file MixtureModelStrategyParameters.h.

Constructor & Destructor Documentation

◆ ~MixtureModelStrategyParameters()

virtual te::rp::MixtureModelStrategyParameters::~MixtureModelStrategyParameters ( )
virtual

◆ MixtureModelStrategyParameters() [1/2]

te::rp::MixtureModelStrategyParameters::MixtureModelStrategyParameters ( )
protected

◆ MixtureModelStrategyParameters() [2/2]

te::rp::MixtureModelStrategyParameters::MixtureModelStrategyParameters ( const MixtureModelStrategyParameters &  other)
protected

Member Function Documentation

◆ clone()

virtual AbstractParameters* te::common::AbstractParameters::clone ( ) const
pure virtualinherited

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.

Implemented in te::rp::WisperFusion::OutputParameters, te::rp::WisperFusion::InputParameters, te::rp::TiePointsMosaic::OutputParameters, te::rp::TiePointsMosaic::InputParameters, te::rp::TiePointsLocatorSURFStrategy::Parameters, te::rp::TiePointsLocatorMoravecStrategy::Parameters, te::rp::TiePointsLocatorInputParameters, te::rp::TiePointsLocator::OutputParameters, te::rp::Skeleton::OutputParameters, te::rp::Skeleton::InputParameters, te::rp::SequenceMosaic::OutputParameters, te::rp::SequenceMosaic::InputParameters, te::rp::SegmenterRegionGrowingMeanStrategy::Parameters, te::rp::SegmenterRegionGrowingBaatzStrategy::Parameters, te::rp::Segmenter::OutputParameters, te::rp::Segmenter::InputParameters, te::rp::Restoration::OutputParameters, te::rp::Restoration::InputParameters, te::rp::Register::OutputParameters, te::rp::Register::InputParameters, te::rp::PostClassification::OutputParameters, te::rp::PostClassification::InputParameters, te::rp::PCAFusion::OutputParameters, te::rp::PCAFusion::InputParameters, te::rp::MixtureModelPCAStrategy::Parameters, te::rp::MixtureModelLinearStrategy::Parameters, te::rp::MixtureModel::OutputParameters, te::rp::MixtureModel::InputParameters, te::rp::MajorityFilter::OutputParameters, te::rp::MajorityFilter::InputParameters, te::rp::IHSFusion::OutputParameters, te::rp::IHSFusion::InputParameters, te::rp::GeoMosaic::OutputParameters, te::rp::GeoMosaic::InputParameters, te::rp::Filter::OutputParameters, te::rp::Filter::InputParameters, te::rp::Contrast::OutputParameters, te::rp::Contrast::InputParameters, te::rp::Composition::OutputParameters, te::rp::Composition::InputParameters, te::rp::ClassifierSAMStrategy::Parameters, te::rp::ClassifierMaxLikelihoodStrategy::Parameters, te::rp::ClassifierMAPStrategy::Parameters, te::rp::ClassifierKMeansStrategy::Parameters, te::rp::ClassifierISOSegStrategy::Parameters, te::rp::ClassifierISODataStrategy::Parameters, te::rp::ClassifierEMStrategy::Parameters, te::rp::ClassifierEDStrategy::Parameters, te::rp::ClassifierDummyStrategy::Parameters, te::rp::Classifier::OutputParameters, te::rp::Classifier::InputParameters, te::rp::ArithmeticOperations::OutputParameters, te::rp::ArithmeticOperations::InputParameters, te::gm::GTParameters, te::cl::MaxLikelihood::Parameters, te::cl::MAP::Parameters, te::cl::KMeans< TTRAIN, TCLASSIFY >::Parameters, te::cl::ISOData::Parameters, and te::cl::Dummy< TTRAIN, TCLASSIFY >::Parameters.

Referenced by te::gm::GTParameters::setModelParameters().

◆ reset()

virtual void te::common::AbstractParameters::reset ( )
pure virtualinherited

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

Implemented in te::rp::Skeleton::OutputParameters, te::rp::Skeleton::InputParameters, te::rp::SegmenterRegionGrowingStrategyParameters, te::rp::Restoration::OutputParameters, te::rp::Restoration::InputParameters, te::rp::PostClassification::OutputParameters, te::rp::PostClassification::InputParameters, te::rp::MajorityFilter::OutputParameters, te::rp::MajorityFilter::InputParameters, te::rp::GeoMosaic::OutputParameters, te::rp::GeoMosaic::InputParameters, te::rp::Filter::OutputParameters, te::rp::Filter::InputParameters, te::rp::Composition::OutputParameters, te::rp::Composition::InputParameters, te::rp::ClassifierISODataStrategy::Parameters, te::rp::ClassifierEDStrategy::Parameters, te::rp::ArithmeticOperations::OutputParameters, te::rp::ArithmeticOperations::InputParameters, te::rp::WisperFusion::OutputParameters, te::rp::WisperFusion::InputParameters, te::rp::TiePointsMosaic::OutputParameters, te::rp::TiePointsMosaic::InputParameters, te::rp::TiePointsLocatorSURFStrategy::Parameters, te::rp::TiePointsLocatorMoravecStrategy::Parameters, te::rp::TiePointsLocatorInputParameters, te::rp::TiePointsLocator::OutputParameters, te::rp::SequenceMosaic::OutputParameters, te::rp::SequenceMosaic::InputParameters, te::rp::SegmenterRegionGrowingMeanStrategy::Parameters, te::rp::SegmenterRegionGrowingBaatzStrategy::Parameters, te::rp::Segmenter::OutputParameters, te::rp::Segmenter::InputParameters, te::rp::Register::OutputParameters, te::rp::Register::InputParameters, te::rp::PCAFusion::OutputParameters, te::rp::PCAFusion::InputParameters, te::rp::MixtureModelPCAStrategy::Parameters, te::rp::MixtureModelLinearStrategy::Parameters, te::rp::MixtureModel::OutputParameters, te::rp::MixtureModel::InputParameters, te::rp::IHSFusion::OutputParameters, te::rp::IHSFusion::InputParameters, te::rp::Contrast::OutputParameters, te::rp::Contrast::InputParameters, te::rp::ClassifierSAMStrategy::Parameters, te::rp::ClassifierMaxLikelihoodStrategy::Parameters, te::rp::ClassifierMAPStrategy::Parameters, te::rp::ClassifierKMeansStrategy::Parameters, te::rp::ClassifierISOSegStrategy::Parameters, te::rp::ClassifierEMStrategy::Parameters, te::rp::ClassifierDummyStrategy::Parameters, te::rp::Classifier::OutputParameters, te::rp::Classifier::InputParameters, te::gm::GTParameters, te::cl::MaxLikelihood::Parameters, te::cl::MAP::Parameters, te::cl::KMeans< TTRAIN, TCLASSIFY >::Parameters, te::cl::ISOData::Parameters, and te::cl::Dummy< TTRAIN, TCLASSIFY >::Parameters.

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