Public Types
typedef DecisionTree< typename T::OptimizedType, DataType >	OptimizedType

Public Member Functions
template<class P1 , class SrcFeature >
	DecisionTree (const DecisionTree< SrcFeature, DataType > &src, const P1 &p1)
	Copy & convert constructor.

template<class P1 , class P2 , class SrcFeature >
	DecisionTree (const DecisionTree< SrcFeature, DataType > &src, P1 p1, const P2 &p2)
	Copy & convert constructor.

template<class P1 , class P2 , class P3 >
	DecisionTree (const DecisionTree< T, DataType > &src, P1 p1, P2 p2, P3 p3)
	Copy & convert constructor.

	DecisionTree (const DecisionTree< T, DataType > &src)

void	operator= (const DecisionTree< T > &src)

	DecisionTree (std::istream &in)

bool	load (std::istream &in)

void	save (std::ostream &out) const

template<class FeatureType >
bool	export_features (std::vector< FeatureType > &out) const

template<class Param1 >
float	classify (const unsigned int *image, Param1 stride) const
	perform the classification stage (1 params)

float	classify (const unsigned int *image) const
	perform the classification stage (no params)

template<class Param1 >
float	operator() (const unsigned int *image, Param1 stride) const

float	operator() (const unsigned int *image) const

void	scale_response (float factor)
	scale the response of the decision tree

float	MeasureAvgDepth () const
	estimate the number of layer evaluated (roughly)

void	Discrete ()
	transform a Probabilistic Decision Tree in a Discrete Decision Tree

float	getAlpha () const
	MMMMH?

Static Public Member Functions
static std::string	signature ()

static float	max_response ()
	internally normalized

Public Attributes
T	classifier
	a feature extractor

DataType	th
	Classifier Threshold.

DecisionTree< T, DataType > *	left
	sub-nodes (if null is a leaf)

DecisionTree< T, DataType > *	right

float	category
	if there are not subnodes, this value -1 .. 1 return the class and probability

Static Public Attributes
static const ClassifierType	Type = RealClassifier
	DecisionTree is (generic) a RealClassifier.

Detailed Description

A decision Tree. If has some sub nodes,uses th to split in them. If not have subnodes, report the category

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

Public Types