Point Cloud Library (PCL)  1.9.1-dev
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pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > Class Template Reference

Utility class for evaluating a fern. More...

#include <pcl/ml/ferns/fern_evaluator.h>

Public Member Functions

 FernEvaluator ()
 Constructor. More...
 
virtual ~FernEvaluator ()
 Destructor. More...
 
void evaluate (pcl::Fern< FeatureType, NodeType > &fern, pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &feature_handler, pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &stats_estimator, DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< LabelType > &label_data)
 Evaluates the specified examples using the supplied tree. More...
 
void evaluateAndAdd (pcl::Fern< FeatureType, NodeType > &fern, pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &feature_handler, pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &stats_estimator, DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< LabelType > &label_data)
 Evaluates the specified examples using the supplied tree and adds the results to the supplied results array. More...
 
void getNodes (pcl::Fern< FeatureType, NodeType > &fern, pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &feature_handler, pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &stats_estimator, DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< NodeType * > &nodes)
 Evaluates the specified examples using the supplied tree. More...
 

Detailed Description

template<class FeatureType, class DataSet, class LabelType, class ExampleIndex, class NodeType>
class pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >

Utility class for evaluating a fern.

Definition at line 58 of file fern_evaluator.h.

Constructor & Destructor Documentation

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >
pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::FernEvaluator ( )

Constructor.

Definition at line 52 of file fern_evaluator.hpp.

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >
pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::~FernEvaluator ( )
virtual

Destructor.

Definition at line 58 of file fern_evaluator.hpp.

Member Function Documentation

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >
void pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluate ( pcl::Fern< FeatureType, NodeType > &  fern,
pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &  feature_handler,
pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &  stats_estimator,
DataSet &  data_set,
std::vector< ExampleIndex > &  examples,
std::vector< LabelType > &  label_data 
)

Evaluates the specified examples using the supplied tree.

Parameters
[in]fernThe decision tree.
[in]feature_handlerThe feature handler used to train the tree.
[in]stats_estimatorThe statistics estimation instance used while training the tree.
[in]data_setThe data set used for evaluation.
[in]examplesThe examples that have to be evaluated.
[out]label_dataThe destination for the resulting label data.

Definition at line 65 of file fern_evaluator.hpp.

References pcl::Fern< FeatureType, NodeType >::accessFeature(), pcl::Fern< FeatureType, NodeType >::accessThreshold(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndices(), pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >::evaluateFeature(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getLabelOfNode(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getNumOfBranches(), and pcl::Fern< FeatureType, NodeType >::getNumOfFeatures().

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >
void pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluateAndAdd ( pcl::Fern< FeatureType, NodeType > &  fern,
pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &  feature_handler,
pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &  stats_estimator,
DataSet &  data_set,
std::vector< ExampleIndex > &  examples,
std::vector< LabelType > &  label_data 
)

Evaluates the specified examples using the supplied tree and adds the results to the supplied results array.

Parameters
[in]fernThe decision tree.
[in]feature_handlerThe feature handler used to train the tree.
[in]stats_estimatorThe statistics estimation instance used while training the tree.
[in]data_setThe data set used for evaluation.
[in]examplesThe examples that have to be evaluated.
[out]label_dataThe destination where the resulting label data is added to.

Definition at line 109 of file fern_evaluator.hpp.

References pcl::Fern< FeatureType, NodeType >::accessFeature(), pcl::Fern< FeatureType, NodeType >::accessThreshold(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndices(), pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >::evaluateFeature(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getLabelOfNode(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getNumOfBranches(), and pcl::Fern< FeatureType, NodeType >::getNumOfFeatures().

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >
void pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::getNodes ( pcl::Fern< FeatureType, NodeType > &  fern,
pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &  feature_handler,
pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &  stats_estimator,
DataSet &  data_set,
std::vector< ExampleIndex > &  examples,
std::vector< NodeType * > &  nodes 
)

Evaluates the specified examples using the supplied tree.

Parameters
[in]fernThe decision tree.
[in]feature_handlerThe feature handler used to train the tree.
[in]stats_estimatorThe statistics estimation instance used while training the tree.
[in]data_setThe data set used for evaluation.
[in]examplesThe examples that have to be evaluated.
[out]nodesThe leaf-nodes reached while evaluation.

Definition at line 151 of file fern_evaluator.hpp.

References pcl::Fern< FeatureType, NodeType >::accessFeature(), pcl::Fern< FeatureType, NodeType >::accessThreshold(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndices(), pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >::evaluateFeature(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getNumOfBranches(), and pcl::Fern< FeatureType, NodeType >::getNumOfFeatures().


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