pcl::RegressionVarianceNode< FeatureType, LabelType > Class Template Reference

Node for a regression trees which optimizes variance. More...

#include <pcl/ml/regression_variance_stats_estimator.h>

Public Member Functions
	RegressionVarianceNode ()
	Constructor.
void	serialize (std::ostream &stream) const
	Serializes the node to the specified stream.
void	deserialize (std::istream &stream)
	Deserializes a node from the specified stream.

Public Attributes
FeatureType	feature
	The feature associated with the node.
float	threshold
	The threshold applied on the feature response.
LabelType	value
	The label value of this node.
LabelType	variance
	The variance of the labels that ended up at this node during training.
std::vector< RegressionVarianceNode >	sub_nodes
	The child nodes.

Detailed Description

template<class FeatureType, class LabelType>
class pcl::RegressionVarianceNode< FeatureType, LabelType >

Node for a regression trees which optimizes variance.

Definition at line 51 of file regression_variance_stats_estimator.h.

Constructor & Destructor Documentation

RegressionVarianceNode()

template<class FeatureType, class LabelType>

pcl::RegressionVarianceNode< FeatureType, LabelType >::RegressionVarianceNode ( )

inline

Constructor.

Definition at line 54 of file regression_variance_stats_estimator.h.

References sub_nodes, threshold, value, and variance.

Member Function Documentation

deserialize()

template<class FeatureType, class LabelType>

void pcl::RegressionVarianceNode< FeatureType, LabelType >::deserialize ( std::istream & stream )

inline

Deserializes a node from the specified stream.

Parameters

[in]

stream

the source for the deserialization

Definition at line 83 of file regression_variance_stats_estimator.h.

References feature, sub_nodes, threshold, value, and variance.

serialize()

template<class FeatureType, class LabelType>

void pcl::RegressionVarianceNode< FeatureType, LabelType >::serialize ( std::ostream & stream ) const

inline

Serializes the node to the specified stream.

Parameters

[out]

stream

the destination for the serialization

Definition at line 61 of file regression_variance_stats_estimator.h.

References feature, sub_nodes, threshold, value, and variance.

Member Data Documentation

feature

template<class FeatureType, class LabelType>

FeatureType pcl::RegressionVarianceNode< FeatureType, LabelType >::feature

The feature associated with the node.

Definition at line 106 of file regression_variance_stats_estimator.h.

Referenced by deserialize(), and serialize().

sub_nodes

template<class FeatureType, class LabelType>

std::vector<RegressionVarianceNode> pcl::RegressionVarianceNode< FeatureType, LabelType >::sub_nodes

The child nodes.

Definition at line 118 of file regression_variance_stats_estimator.h.

Referenced by deserialize(), RegressionVarianceNode(), and serialize().

threshold

template<class FeatureType, class LabelType>

float pcl::RegressionVarianceNode< FeatureType, LabelType >::threshold

The threshold applied on the feature response.

Definition at line 109 of file regression_variance_stats_estimator.h.

Referenced by deserialize(), RegressionVarianceNode(), and serialize().

value

template<class FeatureType, class LabelType>

LabelType pcl::RegressionVarianceNode< FeatureType, LabelType >::value

The label value of this node.

Definition at line 112 of file regression_variance_stats_estimator.h.

Referenced by deserialize(), RegressionVarianceNode(), and serialize().

variance

template<class FeatureType, class LabelType>

LabelType pcl::RegressionVarianceNode< FeatureType, LabelType >::variance

The variance of the labels that ended up at this node during training.

Definition at line 115 of file regression_variance_stats_estimator.h.

Referenced by deserialize(), RegressionVarianceNode(), and serialize().

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

• pcl/ml/regression_variance_stats_estimator.h