BayesianStump< DataType > Struct Template Reference

#include <BayesianStump.h>

Public Types
typedef int	ReturnType

Public Member Functions
int	evaluate_feature (DataType response) const

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

Public Attributes
DataType	m_minFeatValue
	minimum feature value
DataType	m_featRange
	feature range values
uint32_t	m_truthTable
	truth table (BinSize bin) 1:+ 0:-

Static Public Attributes
static const int	bin_size = 32
	limit to 32bit thruth table
static const ClassifierType	Type = DicreteClassifier
	BayesianStump is a DiscreteClassifier.

Detailed Description

template<class DataType>
struct BayesianStump< DataType >

A simpler decision stump without parity TODO: instance it when feature admit inversion

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

• include/Classifier/BayesianStump.h