pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > Class Template Reference

Utility class for evaluating a decision tree. More...

#include <pcl/ml/dt/decision_tree_evaluator.h>

Public Member Functions
	DecisionTreeEvaluator ()
	Constructor. More...
virtual	~DecisionTreeEvaluator ()
	Destructor. More...
void	evaluate (pcl::DecisionTree< NodeType > &tree, 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::DecisionTree< NodeType > &tree, 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	evaluate (pcl::DecisionTree< NodeType > &tree, pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &feature_handler, pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &stats_estimator, DataSet &data_set, ExampleIndex example, NodeType &leave)
	Evaluates the specified examples using the supplied tree. More...
void	getNodes (pcl::DecisionTree< NodeType > &tree, 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::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >

Utility class for evaluating a decision tree.

Definition at line 55 of file decision_tree_evaluator.h.

Constructor & Destructor Documentation

DecisionTreeEvaluator()

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >

pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::DecisionTreeEvaluator ( )

default

Constructor.

~DecisionTreeEvaluator()

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >

pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::~DecisionTreeEvaluator ( )

virtualdefault

Destructor.

Member Function Documentation

evaluate() [1/2]

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >

void pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluate	(	pcl::DecisionTree< NodeType > &	tree,
		pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &	feature_handler,
		pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &	stats_estimator,
		DataSet &	data_set,
		ExampleIndex	example,
		NodeType &	leave
	)

Evaluates the specified examples using the supplied tree.

Parameters

[in]	tree	the decision tree
[in]	feature_handler	the feature handler used to train the tree
[in]	stats_estimator	the statistics estimation instance used while training the tree
[in]	data_set	the data set used for evaluation
[in]	example	the example that has to be evaluated
[out]	leave	The leave reached by the examples.

Definition at line 145 of file decision_tree_evaluator.hpp.

References pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndex(), pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >::evaluateFeature(), and pcl::DecisionTree< NodeType >::getRoot().

evaluate() [2/2]

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >

void pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluate	(	pcl::DecisionTree< NodeType > &	tree,
		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]	tree	the decision tree
[in]	feature_handler	the feature handler used to train the tree
[in]	stats_estimator	the statistics estimation instance used while training the tree
[in]	data_set	the data set used for evaluation
[in]	examples	the examples that have to be evaluated
[out]	label_data	the destination for the resulting label data

Definition at line 71 of file decision_tree_evaluator.hpp.

References pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndex(), pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >::evaluateFeature(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getLabelOfNode(), and pcl::DecisionTree< NodeType >::getRoot().

evaluateAndAdd()

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >

void pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluateAndAdd	(	pcl::DecisionTree< NodeType > &	tree,
		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]	tree	the decision tree
[in]	feature_handler	the feature handler used to train the tree
[in]	stats_estimator	the statistics estimation instance used while training the tree
[in]	data_set	the data set used for evaluation
[in]	examples	the examples that have to be evaluated
[out]	label_data	the destination where the resulting label data is added to

Definition at line 108 of file decision_tree_evaluator.hpp.

References pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndex(), pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >::evaluateFeature(), pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::getLabelOfNode(), and pcl::DecisionTree< NodeType >::getRoot().

getNodes()

template<class FeatureType , class DataSet , class LabelType , class ExampleIndex , class NodeType >

void pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::getNodes	(	pcl::DecisionTree< NodeType > &	tree,
		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]	tree	the decision tree
[in]	feature_handler	the feature handler used to train the tree
[in]	stats_estimator	the statistics estimation instance used while training the tree
[in]	data_set	the data set used for evaluation
[in]	examples	the examples that have to be evaluated
[out]	nodes	the leaf-nodes reached while evaluation

Definition at line 178 of file decision_tree_evaluator.hpp.

References pcl::StatsEstimator< LabelDataType, NodeType, DataSet, ExampleIndex >::computeBranchIndex(), pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >::evaluateFeature(), and pcl::DecisionTree< NodeType >::getRoot().

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

• pcl/ml/dt/decision_tree_evaluator.h
• pcl/ml/impl/dt/decision_tree_evaluator.hpp