Classifier Parameters. More...
#include <ClassifierISOSegStrategy.h>
Public Types | |
| enum | DistanceType { InvalidDistanceType, MahalanobisDistanceType, BhattacharyyaDistanceType } |
Public Member Functions | |
| AbstractParameters * | clone () const |
| Create a clone copy of this instance. More... | |
| const Parameters & | operator= (const Parameters ¶ms) |
| 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... | |
Definition at line 67 of file ClassifierISOSegStrategy.h.
| Enumerator | |
|---|---|
| InvalidDistanceType |
Invalid distance type. |
| MahalanobisDistanceType |
Mahalanobis Distance Type. |
| BhattacharyyaDistanceType |
Bhattacharyya Distance Type. |
Definition at line 75 of file ClassifierISOSegStrategy.h.
| te::rp::ClassifierISOSegStrategy::Parameters::Parameters | ( | ) |
Definition at line 79 of file ClassifierISOSegStrategy.cpp.
References reset(), and ~Parameters().
|
default |
Referenced by Parameters().
|
virtual |
Create a clone copy of this instance.
Implements te::common::AbstractParameters.
Definition at line 102 of file ClassifierISOSegStrategy.cpp.
| const te::rp::ClassifierISOSegStrategy::Parameters & te::rp::ClassifierISOSegStrategy::Parameters::operator= | ( | const Parameters & | params | ) |
Definition at line 86 of file ClassifierISOSegStrategy.cpp.
References m_acceptanceThreshold, m_distanceType, and reset().
|
virtual | |||||||||||||
Clear all internal allocated resources and reset the parameters instance to its initial state.
Implements te::common::AbstractParameters.
Definition at line 96 of file ClassifierISOSegStrategy.cpp.
References InvalidDistanceType, m_acceptanceThreshold, and m_distanceType.
Referenced by operator=(), Parameters(), and te::rp::ClassifierISOSegStrategy::Pattern::Pattern().
| 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.
Referenced by BOOST_AUTO_TEST_CASE(), te::rp::ClassifierISOSegStrategy::execute(), te::qt::widgets::ClassifierWizardPage::getInputParams(), te::rp::ClassifierISOSegStrategy::initialize(), ISOSegClassifier(), te::qt::widgets::ClassifierDialog::on_okPushButton_clicked(), operator=(), and reset().
| DistanceType te::rp::ClassifierISOSegStrategy::Parameters::m_distanceType |
Distance type.
Definition at line 82 of file ClassifierISOSegStrategy.h.
Referenced by BOOST_AUTO_TEST_CASE(), te::rp::ClassifierISOSegStrategy::execute(), te::qt::widgets::ClassifierWizardPage::getInputParams(), te::rp::ClassifierISOSegStrategy::initialize(), operator=(), and reset().