RealDecisionStump< DataType > Struct Template Reference

A Weak Classifier based on a Feature Extractor policy. More...

#include <RealDecisionStump.h>

Public Types
typedef float	ReturnType

Public Member Functions
float	evaluate_feature (DataType value) const
	convert the feature value to {p,n} using internal parity and threshold
void	rescale (int sx, int sy, int sgn)
	this function permits to change the th for rescaling
float	getAlpha () const
	return the maximum range of data returned

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

Public Attributes
DataType	th
	threshold value
float	pr
	weight associated to positive response (pr) and negative response (nr)
float	nr

Static Public Attributes
static const ClassifierType	Type = RealClassifier
	NaiveDecisionStump is a DiscreteClassifier.

Detailed Description

template<class DataType>
struct RealDecisionStump< DataType >

A Weak Classifier based on a Feature Extractor policy.

The FeatureExtractor have to implement a response method that returns an integer scalar quantity

Note

value=th is an ambiguos case

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

• include/Classifier/RealDecisionStump.h